content string | quality_label int64 | meta string | all-MiniLM-L6-v2_embedding list | doc_id int64 | unique_id string |
|---|---|---|---|---|---|
RD Sharma Class 8 Solutions Chapter 7 Factorizations Ex 7.9
These Solutions are part of RD Sharma Class 8 Solutions. Here we have given RD Sharma Class 8 Solutions Chapter 7 Factorizations Ex 7.9
Other Exercises
Factorize each of the following quadratic polynomials by using the method of completing the square.
Quest... | 4 | [
-0.046875,
0.044189453125,
0.060546875,
0.04150390625,
0.0016021728515625,
0.1396484375,
0.031005859375,
0.0162353515625,
-0.01043701171875,
-0.0400390625,
0.04443359375,
0.035888671875,
0.0458984375,
0.044921875,
-0.0634765625,
-0.004119873046875,
-0.0703125,
0.000782012939453125,... | 13,702,000 | 13702000 | |
Direct Sum Theorems
Direct Sum Theorems
Recall the following definition and lemma regarding the direct sum of a set of subspaces $U_1, U_2, ..., U_m$ of a vector space $V$.
Definition: Let $U_1, U_2, ..., U_m$ all be vector subspaces of the $\mathbb{F}$-vector space $V$. We define the direct sum of these subspaces $... | 5 | [
-0.01409912109375,
-0.01123046875,
-0.00176239013671875,
0.0306396484375,
0.056396484375,
0.0272216796875,
0.054443359375,
-0.03955078125,
-0.04052734375,
-0.04736328125,
0.0010223388671875,
-0.035400390625,
0.031494140625,
-0.04150390625,
-0.037841796875,
-0.0079345703125,
-0.048095... | 13,702,001 | 13702001 | |
Frontiers | Recurrence Resonance” in Three-Neuron Motifs
• ^1Cognitive Computational Neuroscience Group at the Chair of English Philology and Linguistics, Department of English and American Studies, Friedrich-Alexander University Erlangen-Nürnberg,
Erlangen, Germany
• ^2Neuroscience Lab, Experimental Otolaryngo... | 4 | [
-0.057373046875,
-0.169921875,
-0.0069580078125,
-0.038330078125,
-0.0849609375,
-0.0057373046875,
0.0211181640625,
-0.123046875,
0.16015625,
-0.087890625,
-0.01513671875,
-0.0123291015625,
0.008544921875,
0.007720947265625,
-0.0103759765625,
0.038330078125,
0.006317138671875,
0.01... | 13,702,002 | 13702002 | |
Example 25.12 Confirmatory Factor Models: Some Variations
This example shows how you can fit some variations of the basic confirmatory factor-analysis model by the FACTOR modeling language. You apply these models to the scores data set that is described in
Example 25.11. The data set contains six test scores of verba... | 4 | [
0.087890625,
-0.0732421875,
-0.057861328125,
-0.021728515625,
0.01409912109375,
0.06103515625,
-0.0400390625,
-0.00022602081298828125,
0.004638671875,
0.0361328125,
0.1328125,
-0.038330078125,
0.049560546875,
0.046875,
0.07763671875,
-0.0576171875,
-0.055908203125,
0.07421875,
-0... | 13,702,003 | 13702003 | |
Problem 1085
Determine the constant that should be added to the binomial so that it becomes a perfect square trinomial. Then, write and factor the trinomial.
x^2 – 14x
Solution : –
If x^2 + bx is a binomial, then by adding
x + bx +
To complete the square, add the square of half the coefficient of x.
The coeffi... | 4 | [
0.02490234375,
0.11376953125,
0.0810546875,
0.10693359375,
-0.03466796875,
0.10205078125,
0.052490234375,
0.02490234375,
-0.091796875,
0.0031890869140625,
0.038330078125,
-0.04052734375,
-0.00286865234375,
0.034423828125,
-0.0098876953125,
0.0286865234375,
-0.0164794921875,
0.04467... | 13,702,004 | 13702004 | |
A bucket tied at the end of a 16m long string is whirled class 11 physics JEE_Main
Hint: If the bucket is moving in a vertical circle with constant speed then it is performing vertical circular motion. Vertical circular motion is non-uniform circular motion. Know the concept of
non-uniform circular motion and the formu... | 4 | [
0.00567626953125,
0.04345703125,
-0.046142578125,
-0.1044921875,
0.02685546875,
-0.0625,
-0.050048828125,
0.047119140625,
0.010986328125,
0.01239013671875,
0.06396484375,
0.018310546875,
0.01165771484375,
-0.021484375,
-0.032958984375,
0.01953125,
0.00067901611328125,
0.05053710937... | 13,702,005 | 13702005 | |
Elasticity of supply
We've been talking a lot about elasticities of a demand, so you were probably wondering, can we think about elasticities of a supply?
And as you can imagine, the answer is: of course we can!
And it's interesting to think about how does the quantity the percent change in quantity supplied relate... | 4 | [
-0.0040283203125,
-0.041748046875,
-0.050537109375,
-0.033447265625,
0.06298828125,
-0.04638671875,
-0.0064697265625,
-0.0103759765625,
0.007293701171875,
-0.0194091796875,
-0.03173828125,
0.01495361328125,
0.0238037109375,
0.08056640625,
-0.01025390625,
-0.0252685546875,
-0.01428222... | 13,702,006 | 13702006 | |
Control Systems/Standard Forms - Wikibooks, open books for an open world
A companion form contains the coefficients of a corresponding characteristic polynomial along one of its far rows or columns. For example, one companion form matrix is:
${\displaystyle {\begin{bmatrix}0&0&0&\cdots &0&-a_{0}\\1&0&0&\cdots &0&-... | 5 | [
-0.1376953125,
-0.0164794921875,
-0.10546875,
-0.02880859375,
-0.07763671875,
0.03076171875,
-0.10107421875,
0.00183868408203125,
-0.0203857421875,
0.01153564453125,
0.09326171875,
-0.01007080078125,
0.01806640625,
-0.0693359375,
-0.091796875,
0.05810546875,
0.0191650390625,
-0.043... | 13,702,007 | 13702007 | |
Combinations and Permutations - Examples
A choir consists of 13 sopranos, 12 altos, 6 tenors and 7 basses.
A group consisting of 10 sopranos, 9 altos, 4 tenors and 4 basses is to be chosen from the choir.
a) In how many different ways can the group be chosen?
b) In how many ways can the 10 chosen sopranos be arrange... | 4 | [
0.0025482177734375,
-0.00118255615234375,
-0.0213623046875,
-0.12255859375,
-0.09375,
0.1328125,
-0.0546875,
0.01531982421875,
0.028076171875,
0.03173828125,
-0.01446533203125,
-0.0081787109375,
0.0181884765625,
-0.00750732421875,
-0.11181640625,
-0.03369140625,
-0.048095703125,
0.... | 13,702,008 | 13702008 | |
with
Cone Clutch
Cone clutch with plates that engage when normal force exceeds threshold
Libraries:
Simscape / Driveline / Clutches
Description
The Cone Clutch block represents a friction clutch with a conical contact interface. The conical interface reduces the normal force required for clutch engagement by crea... | 4 | [
-0.01220703125,
0.005584716796875,
0.0004367828369140625,
0.06396484375,
-0.04931640625,
0.060302734375,
0.07373046875,
0.04931640625,
0.146484375,
0.07763671875,
0.03466796875,
0.02734375,
-0.01123046875,
0.00592041015625,
-0.03076171875,
-0.026123046875,
0.017333984375,
-0.006164... | 13,702,009 | 13702009 | |
Elasto-plastic Materials
Johnson-Cook (/MAT/LAW2)
In LAW2 there are three parts to the stress calculation.
• Influence of plastic strain
• Influence of strain rate
• Influence of temperature change
Figure 1.
Material Parameters
There are two ways to input material parameter for LAW2.
• Iflag=0: Classi... | 4 | [
-0.0810546875,
-0.01513671875,
-0.048095703125,
0.0146484375,
0.0537109375,
-0.041015625,
0.0196533203125,
0.057373046875,
-0.07958984375,
-0.02099609375,
-0.036865234375,
-0.107421875,
0.050537109375,
-0.033203125,
0.0361328125,
0.0107421875,
-0.056396484375,
0.01123046875,
-0.0... | 13,702,010 | 13702010 | |
Normal Equation
For an $m \times n$ matrix $A$ and a vector $b \in \mathbb{R}^m$, the linear system $Ax = b$ is to find the optimal solution $x \in \mathbb{R}^n$.
The Residual Minimization
The problem $Ax = b$ can be replaced by the problem minimizing the residual, $\left\| b - Ax \right\|_2^2$. Let $A_i$ be the $i$-... | 4 | [
-0.01519775390625,
-0.023193359375,
-0.06396484375,
-0.02880859375,
0.043701171875,
0.042724609375,
-0.052490234375,
-0.00003266334533691406,
-0.0152587890625,
0.18359375,
0.0238037109375,
0.006072998046875,
0.029296875,
-0.05224609375,
0.00189971923828125,
0.11865234375,
0.079589843... | 13,702,011 | 13702011 | |
Two ways of calculating speed?
•
• Thread starter albertrichardf
• Start date
•
Tags
In summary, the speed of an object can be calculated as the magnitude of the derivative of its position vector, not the derivative of the magnitude of its position vector. This is because the
derivative and magnitude op... | 5 | [
0.0380859375,
-0.02734375,
-0.0167236328125,
-0.0478515625,
0.014892578125,
-0.03271484375,
-0.09326171875,
0.032470703125,
0.0361328125,
-0.003875732421875,
0.0634765625,
0.064453125,
-0.06005859375,
0.059814453125,
-0.035400390625,
0.0198974609375,
0.0267333984375,
0.1494140625,
... | 13,702,012 | 13702012 | |
Radiation Formulation
Radiation Heat Transfer
Mathematical Formulation
Radiation heat transfer makes up a source term in the energy equation, which has the radiative gains and losses as its components. While the losses are easy to calculate (using only the properties of
the cell in question), the gains involve the ... | 4 | [
0.03369140625,
0.02978515625,
-0.0019989013671875,
0.0087890625,
-0.00927734375,
-0.0308837890625,
0.060791015625,
0.0859375,
0.06982421875,
0.07421875,
-0.0096435546875,
-0.051513671875,
0.1533203125,
0.02001953125,
0.01507568359375,
0.0111083984375,
0.00396728515625,
0.0571289062... | 13,702,013 | 13702013 | |
Direction finding
Hi Lars,
It never occurred to me that you could determine the direction, including elevation, of an incoming wave by observing a set of phase relationships among the received signals at several
omnidirectional antennas. I've enjoyed thinking about this problem, which is a new one for me.
Here are so... | 4 | [
-0.03466796875,
0.01611328125,
-0.01055908203125,
-0.09423828125,
0.029052734375,
-0.0308837890625,
0.0242919921875,
-0.07958984375,
0.043212890625,
0.048828125,
-0.0128173828125,
0.029541015625,
0.06640625,
-0.045166015625,
0.064453125,
-0.0167236328125,
-0.06689453125,
-0.0839843... | 13,702,014 | 13702014 | |
N-point DFt of cosine and sine
5 years ago
●7 replies●
latest reply 5 years ago
●
1614 views
Hello,
I have been reading this interesting Article and I have a question about it: https://www.dsprelated.com/showarticle/607.php
My goal is to compute the N point DFT of a cosine signal and a sine signal. Looking at th... | 5 | [
-0.0810546875,
0.007354736328125,
-0.0030517578125,
0.059814453125,
-0.01220703125,
0.03173828125,
0.01019287109375,
0.0419921875,
0.0732421875,
0.000507354736328125,
0.10986328125,
-0.029052734375,
0.030517578125,
0.0206298828125,
0.01263427734375,
0.01055908203125,
-0.028564453125,... | 13,702,015 | 13702015 | |
Probability - Test Papers
CBSE Test Paper 01
CH-15 Probability
1. The minimum value of probability is
a. 1
b.
c. 0
d. None of these
2. Three coins are tossed together, then the probability of getting at most one head is:-
a.
b.
c.
d. 1
3. Three coins are tossed.The probabil... | 4 | [
0.0284423828125,
0.058837890625,
0.029052734375,
-0.078125,
0.0164794921875,
0.015869140625,
0.076171875,
0.07373046875,
0.06787109375,
0.09619140625,
0.015380859375,
-0.1416015625,
0.041015625,
-0.01611328125,
0.0003662109375,
-0.0203857421875,
-0.0205078125,
-0.05322265625,
-0.... | 13,702,016 | 13702016 | |
1) Find The Following Integrals: 5x-3 A. S Dx X 3x+6 B. S (2x+8x+3) C. F5xe-x Dx 2y4 D. . Dx Y5+1 Dx
a. Using u-substitution, let u = 3x+6. Then du/dx = 3 and dx = du/3. Substituting, we get:
S dx x 3x+6 = S (u-6)/3 du = (1/3) S (u-6) du
= (1/3) [(u²/2) - 6u] + C
= (1/6) (3x+6)² - 2(3x+6) + C
= (1/6) (9x² + 36x + 36) ... | 5 | [
-0.048828125,
0.007415771484375,
0.0255126953125,
-0.035888671875,
0.030517578125,
0.0927734375,
-0.07470703125,
0.0003910064697265625,
-0.023681640625,
-0.0191650390625,
0.0133056640625,
-0.05224609375,
-0.06884765625,
0.00174713134765625,
-0.03369140625,
-0.0101318359375,
-0.026489... | 13,702,017 | 13702017 | |
Si
Solve Single PDE
This example shows how to formulate, compute, and plot the solution to a single PDE.
Consider the partial differential equation
${\pi }^{2}\frac{\partial \text{\hspace{0.17em}}\mathit{u}}{\partial \text{\hspace{0.17em}}\mathit{t}}=\frac{{\partial }^{2}\mathit{u}}{\partial {\mathit{x}}^{2}}.$
Th... | 5 | [
-0.0439453125,
-0.000518798828125,
0.068359375,
0.0023345947265625,
-0.020751953125,
-0.023193359375,
-0.012451171875,
-0.002593994140625,
0.03173828125,
-0.05126953125,
0.062255859375,
-0.0322265625,
0.0225830078125,
-0.0137939453125,
0.004486083984375,
-0.09326171875,
-0.0303955078... | 13,702,018 | 13702018 | |
re
[S:Deleted text in red:S] / Inserted text in green
WW
HEADERS_END
!_ To Find out the Day of the Week of any Day _
COLUMN_START^
You need to remember
* a magic number per month, and
* a magic number per century
** (although for the 1900's the magic number is 0.)
Now add together
* the date,
* the year,
* the year... | 4 | [
0.0004520416259765625,
0.10986328125,
-0.05029296875,
0.0123291015625,
-0.00946044921875,
0.038330078125,
-0.03076171875,
-0.0341796875,
-0.1337890625,
0.044677734375,
0.051513671875,
-0.02197265625,
-0.00567626953125,
-0.08740234375,
-0.057861328125,
-0.0194091796875,
-0.15625,
0.... | 13,702,019 | 13702019 | |
Waiting time distribution - Physics of Risk
Waiting time distribution
Last time we have seen that interarrival (or, more generally, inter-event) times in the Poisson process follow exponential distribution. Inter-event times tell us how much time has passed since the
last event, but we are often also interested in tim... | 5 | [
-0.0263671875,
-0.0096435546875,
0.01953125,
-0.068359375,
0.043701171875,
-0.054931640625,
0.03076171875,
-0.006378173828125,
0.134765625,
0.0673828125,
0.12890625,
0.01611328125,
0.00848388671875,
0.08056640625,
0.00592041015625,
-0.0184326171875,
0.000591278076171875,
-0.1000976... | 13,702,020 | 13702020 | |
City Tech
You must be logged in to reply to this topic.
• FinalReview 6
• December 12, 2012 at 9:31 pm #12964
6. A manufacturer wants to know if an experimental version of its child toothpaste works better to prevent tooth decay than the existing formula. For children using its existing formula, cavities
... | 5 | [
0.03466796875,
0.0152587890625,
0.06591796875,
-0.01507568359375,
-0.06640625,
-0.09716796875,
-0.14453125,
0.1513671875,
-0.01055908203125,
0.078125,
0.03271484375,
-0.07763671875,
-0.0157470703125,
0.02880859375,
-0.00994873046875,
-0.00634765625,
0.055419921875,
0.0279541015625,... | 13,702,021 | 13702021 | |
Prove the Derivative of Sine (Taylor Series)
This example shows how to calculate the derivative of the sine function using a Taylor series.
1. Start with the taylor series definition of the sine function^[1].
2. Take the derivative of both sides of the equation.
3. From the summation property of derivatives, we c... | 4 | [
0.017578125,
0.021728515625,
0.009765625,
0.0771484375,
-0.018310546875,
-0.01141357421875,
-0.0142822265625,
-0.03759765625,
0.028076171875,
0.09326171875,
0.09326171875,
-0.03515625,
0.00616455078125,
-0.0150146484375,
-0.046630859375,
-0.047119140625,
-0.064453125,
0.00052642822... | 13,702,022 | 13702022 | |
Solving systems of congruences with Gaussian integers
Solving systems of congruences with Gaussian integers
I am writing my own function to solve systems of congruences in arbitrary euclidean domains, but I can't quite make it work for gaussians.
# Extended Euclides Algorithm
def extended_euclides(a,b,quo=lambda a,b... | 5 | [
-0.1015625,
-0.021728515625,
-0.046875,
-0.07275390625,
0.0517578125,
-0.06005859375,
0.0751953125,
0.0037994384765625,
-0.06005859375,
-0.06396484375,
0.0791015625,
-0.0291748046875,
0.09130859375,
0.01220703125,
-0.000637054443359375,
-0.04931640625,
0.0390625,
-0.0101318359375,
... | 13,702,023 | 13702023 | |
• January 4, 2019
• Posted by: Magesh Rajaram
• Category: Data & Analytics
Imagine a marketing head of a laptop manufacturer trying to wrack her head how to market her brand. Research shows that the brand is overpriced, but at the same time customers are liking the
configuration compared to other brands, anothe... | 4 | [
-0.0087890625,
0.034423828125,
-0.012939453125,
-0.018798828125,
0.03369140625,
-0.044921875,
0.035888671875,
0.1318359375,
0.03857421875,
0.052490234375,
0.0286865234375,
-0.00323486328125,
0.07177734375,
-0.0025634765625,
0.051513671875,
-0.0234375,
0.06982421875,
-0.0791015625,
... | 13,702,024 | 13702024 | |
Note: Post updated 27-Sep-2018 to correct a typo in the implementation of the backward function.
One of the new Neural Network Toolbox features of R2017b is the ability to define your own network layer. Today I'll show you how to make an exponential linear unit (ELU) layer.
Joe helped me with today's post. Joe is on... | 5 | [
-0.1103515625,
-0.007354736328125,
-0.024658203125,
-0.02587890625,
-0.0142822265625,
0.006500244140625,
-0.03759765625,
-0.035400390625,
-0.0634765625,
-0.015625,
0.087890625,
-0.0284423828125,
0.05029296875,
-0.005615234375,
-0.027587890625,
0.02587890625,
0.016357421875,
-0.0185... | 13,702,025 | 13702025 | |
Numerical modelling of shear thickening fluid in nanosilica dispersion
Abstract
In this paper, a numerical model of the shear thickening fluid (STF) is generated and the rheological properties are compared with the experimental data. Power Law model has been used to fit the
rheological data for STF. Experimental data ... | 4 | [
-0.02099609375,
-0.09130859375,
0.003448486328125,
-0.035400390625,
0.032470703125,
-0.09375,
-0.0751953125,
0.060791015625,
0.0390625,
-0.0211181640625,
-0.0177001953125,
-0.049072265625,
0.00958251953125,
-0.00127410888671875,
0.006011962890625,
-0.072265625,
-0.050048828125,
0.0... | 13,702,026 | 13702026 | |
Science:Math Exam Resources/Courses/MATH100 A/December 2023/Question 01
MATH100 A December 2023
• Q1 • Q2 • Q3 • Q4 • Q5 • Q6 • Q7 • Q8 • Q9 • Q10 • Q11 • Q12 • Q13 • Q14 • Q15 • Q16 • Q17 • Q18 • Q19 • Q20 • Q21 • Q22 • Q23 • Q24 • Q25 • Q26 • Q27(a) • Q27(b) • Q27(c) • Q28(a) • Q28(b) • Q29
(a) • Q29(b) • Q30 •
... | 5 | [
-0.0125732421875,
0.052490234375,
-0.0018463134765625,
-0.0390625,
-0.056640625,
0.07421875,
-0.044677734375,
0.0419921875,
-0.006378173828125,
-0.0240478515625,
0.043212890625,
-0.0400390625,
-0.00107574462890625,
0.057373046875,
-0.024658203125,
0.08056640625,
-0.00909423828125,
... | 13,702,027 | 13702027 | |
Modal analysis of a milling dynamometer considered as 1DOF system
Abstract
A force transducer-based plate dynamometer for milling force measurements is presented in this paper. The main components of the designed dynamometer were described, and experimental modal analysis
was carried out while considering the dynamome... | 5 | [
-0.04052734375,
0.0211181640625,
-0.039306640625,
-0.01031494140625,
-0.03125,
-0.083984375,
-0.02392578125,
0.0113525390625,
0.0245361328125,
-0.00927734375,
0.0478515625,
-0.050048828125,
0.099609375,
-0.064453125,
-0.0152587890625,
-0.078125,
0.004119873046875,
-0.0118408203125,... | 13,702,028 | 13702028 | |
Open-Source Internship opportunity by OpenGenus for programmers. Apply now.
In this article, we have explored where and how different domain of mathematics are used in Data Science. We have covered core ideas of Proba... | 4 | [
-0.02490234375,
-0.022216796875,
-0.0250244140625,
-0.00933837890625,
0.0172119140625,
-0.08154296875,
-0.046142578125,
-0.005950927734375,
0.013671875,
0.0458984375,
-0.0167236328125,
0.01348876953125,
0.06982421875,
-0.01434326171875,
0.00994873046875,
0.050537109375,
-0.0231933593... | 13,702,029 | 13702029 | |
2002 AMC 12A Problems/Problem 11
The following problem is from both the 2002 AMC 12A #11 and 2002 AMC 10A #12, so both problems redirect to this page.
Problem
Mr. Earl E. Bird gets up every day at 8:00 AM to go to work. If he drives at an average speed of 40 miles per hour, he will be late by 3 minutes. If he dr... | 4 | [
0.0380859375,
0.06494140625,
0.044921875,
-0.031982421875,
-0.033447265625,
0.0712890625,
-0.01806640625,
0.0106201171875,
-0.0299072265625,
0.080078125,
0.047607421875,
-0.01043701171875,
0.005157470703125,
0.072265625,
0.00555419921875,
0.0556640625,
-0.031005859375,
0.0006408691... | 13,702,030 | 13702030 | |
Second Law of Thermodynamics: Entropy
The second law of thermodynamics states that the universe (i.e. all systems) tend to the greatest degree of randomization. This concept is defined by the term entropy, S.
S = klnW
where k = Boltzmann constant (the gas constant, R, divided by Avagadros’ number) and W = the number... | 4 | [
-0.039306640625,
-0.0498046875,
-0.04443359375,
0.061767578125,
0.033447265625,
-0.029541015625,
0.00238037109375,
-0.00022125244140625,
0.1396484375,
0.05615234375,
-0.01214599609375,
-0.064453125,
-0.0081787109375,
0.0286865234375,
0.005401611328125,
-0.11083984375,
0.07470703125,
... | 13,702,031 | 13702031 | |
Is bounded linear operator closed?
Is bounded linear operator closed?
A bounded linear operator A:X→Y is closed. Conversely, if A is defined on all of X and closed, then it is bounded. If A is closed and A−1 exists, then A−1 is also closed.
Are linear operators bounded?
Any linear operator between two finite-dimens... | 4 | [
-0.00970458984375,
-0.034912109375,
-0.07470703125,
-0.00439453125,
-0.0283203125,
0.033935546875,
0.0262451171875,
-0.041259765625,
-0.02734375,
0.032470703125,
-0.005462646484375,
0.06396484375,
0.0069580078125,
0.0120849609375,
0.0216064453125,
0.048828125,
-0.0203857421875,
-0.... | 13,702,032 | 13702032 | |
Discrete Mathematics/Set theory/Exercises - Wikibooks, open books for an open world
Set Theory Exercise 1
edit
1
Is each of the following a well-defined set? Give brief reasons for each of your answers.
(a) The collection of all alphanumeric characters.
(b) The collection of all tall people.
(c) T... | 4 | [
0.007781982421875,
0.04931640625,
0.022705078125,
-0.11328125,
0.0069580078125,
0.09619140625,
0.11572265625,
0.01141357421875,
-0.03564453125,
0.0255126953125,
-0.0235595703125,
-0.045654296875,
0.0439453125,
-0.0257568359375,
0.031982421875,
-0.04638671875,
0.0390625,
-0.04296875... | 13,702,033 | 13702033 | |
Analysis of sampled-data (continuous/discrete) systems · ControlSystems.jl
A sampled-data system contains both continuous-time and discrete-time components, such as a continuous-time plant and a discrete-time controller. In this example, we will look at how to analyze such
systems using the ControlSystems.jl package. T... | 4 | [
-0.08984375,
0.005889892578125,
-0.02490234375,
-0.006622314453125,
0.044921875,
-0.058837890625,
0.01397705078125,
0.047119140625,
0.10986328125,
0.02783203125,
0.03759765625,
0.04248046875,
0.0703125,
-0.03369140625,
-0.0751953125,
-0.03955078125,
0.0302734375,
-0.07421875,
0.0... | 13,702,034 | 13702034 | |
Measuring and calculating permeability of unknown cores
I have a lot of unknown ferrite cores mostly salvaged from radio/TV and other devices.
Main problem with this is to how to know their permeability for calculating number of turns I need to make choke or transformer.
So I needed some simple method to test cores a... | 4 | [
0.016357421875,
-0.010009765625,
-0.03369140625,
-0.0174560546875,
0.050048828125,
-0.006011962890625,
-0.05029296875,
0.12060546875,
-0.07470703125,
-0.03662109375,
-0.053466796875,
-0.05126953125,
0.0654296875,
0.0220947265625,
-0.068359375,
0.01483154296875,
-0.03125,
0.03198242... | 13,702,035 | 13702035 | |
Speed Distance Time is one of the most common and crucial topics covered in any competitive exam’s Mathematics or Quants part. The concept of speed, time, and distance is widely employed in queries
about a variety of issues, including straight line motion, circular motion, boats and streams, races, clocks, etc. Aspira... | 4 | [
0.042236328125,
0.0263671875,
-0.057373046875,
-0.038818359375,
-0.0205078125,
-0.0098876953125,
-0.083984375,
0.017822265625,
0.0458984375,
-0.035888671875,
0.06884765625,
-0.087890625,
-0.01446533203125,
0.0458984375,
-0.032958984375,
-0.043212890625,
0.019775390625,
0.0649414062... | 13,702,036 | 13702036 | |
Winter School
Invited lectures at 48th Winter School
Richard M. Aron, Department of Mathematical Sciences, Kent State University, Kent, Ohio, USA
3 lectures
Norm attaining operators
We describe work with D. Garca, D. Pellegrino, and E. Teixeira studying the so-called weak maximizing property (wmp) of operators betw... | 4 | [
-0.07177734375,
0.0279541015625,
-0.0400390625,
-0.015380859375,
-0.03125,
0.09033203125,
0.059814453125,
-0.000789642333984375,
-0.0771484375,
-0.0225830078125,
0.051513671875,
0.053955078125,
-0.0137939453125,
-0.03271484375,
-0.018798828125,
0.048095703125,
0.025390625,
-0.05493... | 13,702,037 | 13702037 | |
Impress
A SUBSTANTIAL DIFFERENCE
Another view of the miracle that is Genesis 1:1
1. Introduction
It turns out that the seemingly mundane observation that 37 uniform circular counters resting on a flat surface may be grouped together to form any one of three distinct symmetrical figures (Appendix
1) has far-reachin... | 4 | [
-0.062255859375,
0.0002574920654296875,
0.005706787109375,
-0.01171875,
0.032958984375,
0.03515625,
0.0034942626953125,
0.05224609375,
0.03173828125,
0.05615234375,
-0.0390625,
-0.0673828125,
0.044189453125,
-0.0458984375,
-0.036865234375,
-0.1015625,
-0.035400390625,
-0.0170898437... | 13,702,038 | 13702038 | |
Quantum Virial Theorem - Peeter Joot's Blogquantum virial theorem – Peeter Joot's Blog
Quantum Virial Theorem
August 31, 2015 phy1520 commutator, Hamiltonian, Hamiltonian equations of motion, quantum virial theorem, time evolution, Virial Theorem
[Click here for a PDF of this post with nicer formatting]
Question: Qu... | 5 | [
-0.095703125,
0.07568359375,
0.06982421875,
-0.01544189453125,
-0.044189453125,
0.17578125,
0.003265380859375,
0.02099609375,
-0.07177734375,
-0.0277099609375,
0.05029296875,
-0.140625,
0.0308837890625,
-0.043701171875,
0.052001953125,
0.1279296875,
-0.00933837890625,
-0.0893554687... | 13,702,039 | 13702039 | |
SOWISO
Orthogonal and symmetric maps: Unitary maps
The notion of unitary map
The complex analog of an orthogonal map is a unitary map. As discussed previously, the vectors of a complex inner product space have length. Unitary maps are linear maps that retain this length. We
will show that results about orthogonal map... | 4 | [
-0.059814453125,
-0.0732421875,
-0.00457763671875,
-0.05224609375,
-0.0751953125,
0.0107421875,
-0.016357421875,
-0.0791015625,
-0.0115966796875,
-0.0380859375,
0.125,
0.030517578125,
-0.040283203125,
0.03857421875,
0.01904296875,
-0.025634765625,
0.080078125,
0.036865234375,
-0.... | 13,702,040 | 13702040 | |
Consider a Geometric progression 1,7,49...7^364 . find the remainder when sum of this g.p is divided by 5.? | Socratic
Consider a Geometric progression #1,7,49...7^364# . find the remainder when sum of this g.p is divided by 5.?
1 Answer
Explanation:
In this GP,
a = 1, r = 7, N = 365
${S}_{N} = a 1 \cdot \frac{{r}... | 4 | [
-0.047119140625,
0.024658203125,
0.0220947265625,
-0.01904296875,
-0.002960205078125,
0.0400390625,
0.04150390625,
0.046875,
-0.022216796875,
0.00165557861328125,
-0.0732421875,
0.03173828125,
0.00872802734375,
0.0439453125,
-0.044921875,
-0.08642578125,
-0.103515625,
0.02026367187... | 13,702,041 | 13702041 | |
Quadratic Equation Short Tricks PDF: Sign For Bank Exams
Quadratic Equation Tricks and Short Tricks For Bank PO, Clerk and Insurance Exams: Download PDF
Quadratic Equation Tricks and Shortricks For Bank Exams: We have provided the quadratic equation tricks pdf for bank exams in this quadratic equation short tricks for... | 4 | [
-0.0306396484375,
0.068359375,
0.0238037109375,
-0.0189208984375,
-0.0986328125,
0.03662109375,
0.01025390625,
0.041748046875,
-0.0147705078125,
-0.0177001953125,
0.06298828125,
-0.001678466796875,
0.080078125,
0.047119140625,
0.043701171875,
-0.00634765625,
0.0096435546875,
-0.004... | 13,702,042 | 13702042 | |
MA
BORROMEAN RINGS (1/3)
“If one proceeded to announce that there is still nowadays a work of the former Egyptians, one of their books that escaped the flames that devoured their superb libraries, and which contains their
purest doctrines on interesting subjects, everyone who heard, undoubtedly, would hasten to study... | 4 | [
-0.11376953125,
0.07177734375,
-0.06005859375,
0.0091552734375,
-0.06103515625,
-0.06201171875,
0.048583984375,
0.0047607421875,
0.052734375,
-0.0283203125,
-0.020751953125,
0.04833984375,
0.07373046875,
-0.1396484375,
-0.10107421875,
0.031494140625,
-0.0294189453125,
0.02026367187... | 13,702,043 | 13702043 | |
Numbers of Algebra - Master High-Frequency Concepts and Skills for Algebra Proficiency—FAST - Easy Algebra Step-by-Step
Easy Algebra Step-by-Step: Master High-Frequency Concepts and Skills for Algebra Proficiency—FAST! (2012)
Chapter 1. Numbers of Algebra
The study of algebra requires that you know the specific names... | 4 | [
-0.053466796875,
-0.029296875,
-0.041748046875,
-0.0166015625,
-0.0869140625,
-0.005889892578125,
0.0177001953125,
0.03515625,
0.032958984375,
-0.040283203125,
-0.08984375,
0.04296875,
0.0179443359375,
-0.016357421875,
-0.006866455078125,
-0.00750732421875,
-0.06884765625,
0.026000... | 13,702,044 | 13702044 | |
GreeneMath.com | Ace your next Math Test!
Lesson Objectives
• Demonstrate an understanding of how to plot ordered pairs
• Learn about the Pythagorean Formula
• Learn how to use the distance formula to find the distance between two points
How to Find the Distance between two Points
In our last lesson, we learne... | 4 | [
-0.0255126953125,
0.0771484375,
-0.07861328125,
-0.023193359375,
-0.06689453125,
0.0023040771484375,
-0.09619140625,
0.06298828125,
0.09765625,
0.011474609375,
0.037109375,
-0.01324462890625,
-0.0595703125,
0.0966796875,
0.04736328125,
0.0537109375,
-0.06982421875,
0.0091552734375,... | 13,702,045 | 13702045 | |
I require to find out torsional strength of 35 mm dia steel of grade 1020 and 4140. ? s there
I am required to calculate torsional strength of a 35 mm dia rod of steel grade 1020 and 4140 as we are trying to use higher grade material ….how do i proceed is there any direct tables or formula to
calculate. i want it for... | 5 | [
-0.044189453125,
-0.0108642578125,
-0.03369140625,
-0.08447265625,
-0.03271484375,
-0.055419921875,
0.03173828125,
0.11669921875,
-0.06689453125,
0.041748046875,
0.01904296875,
-0.0023193359375,
0.0289306640625,
-0.004638671875,
-0.00173187255859375,
0.055419921875,
-0.0166015625,
... | 13,702,046 | 13702046 | |
SAT Maths Practice Test 19 Grid Ins Questions | SAT Online Tutor AMBiPi
Welcome to AMBiPi (Amans Maths Blogs). SAT (Scholastic Assessment Test) is a standard test, used for taking admission to undergraduate programs of universities or colleges in the United States. In
this article, you will get SAT 2022 Maths Practic... | 4 | [
-0.0024871826171875,
-0.034423828125,
-0.00994873046875,
-0.041259765625,
0.03173828125,
-0.004608154296875,
-0.041259765625,
-0.08447265625,
-0.015869140625,
0.0693359375,
0.0169677734375,
0.0035552978515625,
0.0400390625,
0.026611328125,
0.026611328125,
0.057373046875,
-0.076171875... | 13,702,047 | 13702047 | |
analytics courses in delhi ncr Archives - DexLab Analytics | Big Data Hadoop SAS R Analytics Predictive Modeling & Excel VBA
Autocorrelation is a special case of correlation. It refers to the relationship between successive values of the same variables .For example if an individual with a consumption pattern:-
spend... | 5 | [
-0.125,
-0.0098876953125,
-0.022216796875,
0.060302734375,
-0.047119140625,
-0.04248046875,
-0.0223388671875,
0.0208740234375,
0.060302734375,
0.033203125,
0.05029296875,
-0.01171875,
0.0625,
0.0274658203125,
-0.0595703125,
-0.07568359375,
-0.0009307861328125,
-0.0693359375,
0.02... | 13,702,048 | 13702048 | |
Absolute Value - Meaning, How to Find Absolute Value, Examples - [[company name]] [[target location]], [[stateabr]]
Absolute ValueDefinition, How to Discover Absolute Value, Examples
Many comprehend absolute value as the distance from zero to a number line. And that's not incorrect, but it's nowhere chose to the compl... | 4 | [
0.01556396484375,
0.0087890625,
-0.09521484375,
-0.032470703125,
-0.005462646484375,
-0.039306640625,
-0.037353515625,
0.09814453125,
0.087890625,
-0.01141357421875,
0.103515625,
-0.0274658203125,
0.10205078125,
0.07763671875,
-0.07373046875,
-0.037353515625,
0.0673828125,
-0.05249... | 13,702,049 | 13702049 | |
Minimum separation between incoming proton and alpha particle
•
• Thread starter issacnewton
• Start date
In summary: No, because the particles are not at their minimum separation.Think about momentum.Let proton have velocity of ##v_1## and let alpha particle have velocity of ##v_2## when they are near.
Now, i... | 5 | [
0.01055908203125,
-0.0103759765625,
-0.031494140625,
0.0205078125,
0.03857421875,
0.03125,
0.0220947265625,
0.0052490234375,
-0.00885009765625,
-0.06494140625,
0.087890625,
0.0247802734375,
-0.06787109375,
0.016357421875,
-0.0098876953125,
-0.0279541015625,
0.0595703125,
0.01147460... | 13,702,050 | 13702050 | |
Running Solver
Running a Solver
It is very simple to directly run a solver on a PyCSP$^3$ model. You just have to call the following function:
solve()
This will start the solver ACE on the current problem instance. The result of this command is the status of the solving operation, which is one of the following cons... | 5 | [
-0.130859375,
-0.041748046875,
-0.1044921875,
0.03369140625,
0.004302978515625,
-0.0234375,
-0.049560546875,
0.01263427734375,
-0.061767578125,
0.041015625,
0.03759765625,
-0.04541015625,
0.02783203125,
0.0169677734375,
0.0194091796875,
0.0002689361572265625,
-0.0289306640625,
-0.0... | 13,702,051 | 13702051 | |
Theorems :: CIS 301 Textbook
Theorems
Definition
A theorem in propositional logic is something that is always true with no need for premises. The truth table for a theorem is always a tautology – it is true for any truth assignment.
To express a theorem as a sequent, we write:
This shows that we are trying to prove... | 5 | [
-0.059326171875,
0.00909423828125,
0.05517578125,
-0.017822265625,
0.064453125,
0.0108642578125,
-0.03076171875,
0.0147705078125,
0.059326171875,
0.07861328125,
0.078125,
-0.00482177734375,
0.05517578125,
-0.0196533203125,
0.042236328125,
0.032470703125,
-0.0322265625,
0.0039672851... | 13,702,052 | 13702052 | |
ma
NAME
v.univar
- Calculates univariate statistics of vector map features.
Variance and standard deviation is calculated only for points if specified.
KEYWORDS
vector
,
statistics
,
univariate statistics
,
attribute table
,
geometry
SYNOPSIS
v.univar
v.univar --help
v.univar [-gewd] map=name [layer... | 4 | [
0.0537109375,
0.01300048828125,
-0.0849609375,
0.038330078125,
-0.0302734375,
-0.046142578125,
-0.0034942626953125,
0.059814453125,
-0.12158203125,
-0.01336669921875,
0.06103515625,
-0.0966796875,
0.006561279296875,
-0.07861328125,
-0.0556640625,
0.0120849609375,
0.01031494140625,
... | 13,702,053 | 13702053 | |
Travelling Salesman Problem (TSP) using Different Approaches
Problem Statement
Travelling Salesman Problem (TSP)– Given a set of cities and the distance between every pair of cities as an adjacency matrix, the problem is to find the shortest possible route that visits every
city exactly once and returns to the startin... | 5 | [
-0.002960205078125,
0.00830078125,
-0.016357421875,
0.033203125,
-0.0169677734375,
-0.038818359375,
0.0029754638671875,
0.04736328125,
-0.1015625,
0.042724609375,
-0.07275390625,
-0.0162353515625,
0.0011444091796875,
0.08837890625,
-0.02880859375,
0.050537109375,
0.01556396484375,
... | 13,702,054 | 13702054 | |
D
hierSDR
The hierSDR package implements the methodology of Huling and Yu (2021+) which is a semiparametric sufficient dimension reduction approach that handles heterogeneity in the relationship between
covariates and outcome where the heterogeneity is based on all combinations of a set of binary factors. A motivating... | 5 | [
-0.0225830078125,
0.0026092529296875,
0.005950927734375,
-0.0181884765625,
0.06005859375,
-0.0194091796875,
0.01068115234375,
0.0693359375,
-0.1240234375,
-0.0703125,
0.013671875,
-0.00023937225341796875,
0.052001953125,
-0.03466796875,
0.0068359375,
0.0177001953125,
-0.037353515625,... | 13,702,055 | 13702055 | |
How to solve for x on the interval [0,2π)? | HIX Tutor
How to solve for x on the interval [0,2π)?
Solve for x on the interval [0,2π). Cos x - sin2x = 0.
Answer 1
$x = \frac{\pi}{6} , \frac{\pi}{2} , \frac{5 \pi}{6} , \frac{3 \pi}{2}$
#cosx-sin2x=0#
#cosx-2sinxcosx=0#
#cosx(1-2sinx)=0#
#cosx=0, :. x=pi/2, (3pi)/2... | 4 | [
-0.068359375,
-0.01129150390625,
0.00579833984375,
0.03857421875,
-0.01519775390625,
-0.0115966796875,
-0.0213623046875,
0.042724609375,
0.036865234375,
-0.0079345703125,
0.05615234375,
-0.060302734375,
0.0245361328125,
0.0145263671875,
0.07080078125,
-0.029296875,
-0.01495361328125,... | 13,702,056 | 13702056 | |
Mathematics homework help
Mathematics homework help. This assignment will account for 2 credits (20% of the 10 credits) as part of the replacement assessment for this module. You should answer all questions (total 20 marks).
You may consult textbooks and journal articles, but these must be fully referenced in
your subm... | 4 | [
-0.1005859375,
0.09228515625,
0.00732421875,
-0.045166015625,
-0.0013580322265625,
0.038818359375,
-0.09228515625,
0.06005859375,
-0.09228515625,
-0.01544189453125,
0.040283203125,
-0.039306640625,
0.0341796875,
0.02490234375,
-0.039794921875,
0.021484375,
-0.0208740234375,
0.03808... | 13,702,057 | 13702057 | |
1)A real estate agent
is interested in determining factors that affect the mean selling
price of...
1)A real estate agent is interested in determining factors that affect the mean selling price of...
1)A real estate agent is interested in determining factors that affect the mean selling price of a home. One factor she... | 5 | [
0.0634765625,
0.07666015625,
-0.03759765625,
0.0074462890625,
-0.04736328125,
-0.0220947265625,
-0.0123291015625,
0.08740234375,
-0.01513671875,
0.0135498046875,
0.01470947265625,
-0.046142578125,
0.0546875,
0.0057373046875,
0.0206298828125,
-0.0101318359375,
0.0036773681640625,
0.... | 13,702,058 | 13702058 | |
(PDF) A survey of forecast error measures
Author content
All content in this area was uploaded by Adriaan Brebels on Mar 24, 2016
Content may be subject to copyright.
()m
t tt
e yf= −
m
ft
1,
1
1
n
ii
in
i
MAE e mean e
n=
=
= =
∑
1,
i
in
MdAE median e
=
=
() ()
22
11,
1
n
ii
iin
MSE e... | 4 | [
-0.048095703125,
0.0194091796875,
0.06982421875,
0.0986328125,
0.0017547607421875,
-0.0703125,
-0.09326171875,
0.09619140625,
0.05419921875,
0.0101318359375,
-0.12451171875,
-0.025146484375,
0.01806640625,
0.00970458984375,
-0.0927734375,
-0.10546875,
-0.028076171875,
-0.0854492187... | 13,702,059 | 13702059 | |
2012 AMC 10A Exam Problems
1:15:00
1.
Cagney can frost a cupcake every $20$ seconds and Lacey can frost a cupcake every $30$ seconds. Working together, how many cupcakes can they frost in $5$ minutes?
Answer: D
Solution:
Cagney can make $60 \div 20 = 3$ cupcakes per minute, and Lacey can make $60 \div 30 = 2.$
I... | 5 | [
-0.038818359375,
0.0400390625,
0.09033203125,
-0.0291748046875,
-0.0595703125,
0.07421875,
0.060302734375,
0.0625,
-0.05126953125,
0.043701171875,
-0.0186767578125,
-0.064453125,
0.000583648681640625,
0.0751953125,
-0.054931640625,
-0.00823974609375,
-0.04833984375,
-0.051513671875... | 13,702,060 | 13702060 | |
Introduction to Discrete Probability
Title: Introduction to Discrete Probability 1
Introduction to Discrete Probability
• Rosen, section 5.1
• CS/APMA 202
• Aaron Bloomfield
2
Terminology
• Experiment
• A repeatable procedure that yields one of a given
set of outcomes
• Rolling a die, for example
... | 5 | [
-0.00787353515625,
0.0126953125,
-0.033935546875,
0.0111083984375,
-0.06884765625,
0.01129150390625,
0.10107421875,
-0.00885009765625,
0.037109375,
0.03662109375,
-0.0169677734375,
-0.06201171875,
0.0595703125,
0.0054931640625,
-0.032470703125,
-0.000347137451171875,
-0.053466796875,... | 13,702,061 | 13702061 | |
Integral of sin
Introduction to integral of sin^2x/cos x
In calculus, the integral is a fundamental concept that assigns numbers to functions to define displacement, area, volume, and all those functions that contain a combination of tiny elements. It is
categorized into two parts, definite integral and indefinite int... | 5 | [
0.007232666015625,
0.005645751953125,
0.019775390625,
0.03857421875,
0.037353515625,
-0.0201416015625,
-0.05712890625,
-0.006744384765625,
0.0189208984375,
0.045654296875,
0.03564453125,
0.031494140625,
0.0108642578125,
0.0322265625,
-0.01385498046875,
-0.052734375,
0.05517578125,
... | 13,702,062 | 13702062 | |
Geometric Probability
#1
-1
+1
472
4
Two numbers between 0 and 1 on a number line are chosen at random. What is the probability that the second number chosen will: exceed the first number chosen? Express your answer as a common
fraction.
TY
HelpPls123abc Jan 5, 2021
Here's the way I approached this one.......
... | 4 | [
0.04638671875,
0.0299072265625,
-0.0234375,
-0.08447265625,
-0.02783203125,
-0.07080078125,
0.07177734375,
0.0458984375,
-0.044189453125,
-0.005645751953125,
-0.08935546875,
0.0087890625,
0.0203857421875,
0.058837890625,
0.0517578125,
0.030517578125,
0.006683349609375,
-0.145507812... | 13,702,063 | 13702063 | |
MATLAB
dsp.MovingRMS
Moving root mean square (RMS)
Description
The dsp.MovingRMS System object™ computes the moving root mean square (RMS) of the input signal along each channel, independently over time. The object uses either the sliding window method or the
exponential weighting method to compute the moving RMS. ... | 5 | [
-0.0751953125,
-0.057373046875,
-0.072265625,
0.002288818359375,
-0.05419921875,
-0.06591796875,
-0.0228271484375,
0.09521484375,
0.0771484375,
-0.004058837890625,
-0.035888671875,
0.03466796875,
0.02734375,
-0.0257568359375,
-0.0947265625,
-0.037109375,
-0.0225830078125,
0.0255126... | 13,702,064 | 13702064 | |
This question is about
the Bayes' Theorem.
You are given two
boxes. Box 1 contains 5...
This question is about the Bayes' Theorem. You are given two boxes. Box 1 contains 5...
This question is about the Bayes' Theorem.
You are given two boxes. Box 1 contains 5 red, 5 green, and 3 blue balls, and Box 2 contains 4 red,... | 4 | [
0.0177001953125,
0.024658203125,
0.0556640625,
-0.0223388671875,
0.016357421875,
0.02099609375,
0.111328125,
-0.07373046875,
0.07080078125,
0.06494140625,
-0.045166015625,
-0.037841796875,
0.001708984375,
-0.008544921875,
0.0179443359375,
0.1064453125,
-0.0400390625,
-0.0595703125,... | 13,702,065 | 13702065 | |
Gaussian
fitrkernel
Fit Gaussian kernel regression model using random feature expansion
Description
fitrkernel trains or cross-validates a Gaussian kernel regression model for nonlinear regression. fitrkernel is more practical to use for big data applications that have large training sets, but can
also be applied ... | 5 | [
-0.0203857421875,
-0.0908203125,
0.0233154296875,
0.00518798828125,
0.06884765625,
-0.0294189453125,
-0.01214599609375,
0.00299072265625,
-0.0238037109375,
-0.0101318359375,
0.051513671875,
0.076171875,
0.04248046875,
-0.0167236328125,
-0.00799560546875,
-0.046630859375,
0.0419921875... | 13,702,066 | 13702066 | |
PPT - Branch Code: A Labeling Scheme for Efficient Query Answering on Trees PowerPoint Presentation - ID:1997937
1. Branch Code: A Labeling Scheme for Efficient Query Answering on Trees YanghuaXiao, Ji Hong, Wanyun Cui, Zhenying He, Wei Wang, GuodongFeng April 2012
2. Background • Tree is widely used data model • XM... | 4 | [
-0.0751953125,
0.0291748046875,
-0.044189453125,
-0.0174560546875,
0.01068115234375,
-0.02587890625,
-0.00885009765625,
0.07177734375,
-0.0341796875,
0.033447265625,
0.018310546875,
0.0133056640625,
0.0498046875,
-0.03271484375,
0.031005859375,
0.08251953125,
-0.00994873046875,
0.0... | 13,702,067 | 13702067 | |
A Maximum Power Point Tracking Algorithm of Load Current Maximization-Perturbation and Observation Method with Variable Step Size
^1
College of Mechanical and Control Engineering, Guilin University of Technology, Guilin 541004, China
^2
School of Automation, Guangdong University of Technology, Guangzhou 510006, Chi... | 4 | [
-0.02978515625,
0.0732421875,
0.00616455078125,
-0.01171875,
0.0291748046875,
0.00124359130859375,
0.06982421875,
0.0302734375,
0.002685546875,
0.04150390625,
0.036376953125,
0.09326171875,
0.0849609375,
-0.06689453125,
-0.0189208984375,
0.1708984375,
0.01708984375,
0.040283203125,... | 13,702,068 | 13702068 | |
Aperture Area Calculator
Last updated: Nov 21, 2022
With this aperture area calculator, you'll be able to:
• Calculate the aperture area and diameter of lenses or other optical systems with circular apertures;
• Calculating the f-number or focal length (although better obtain the latter with our focal length cal... | 4 | [
0.1279296875,
-0.0198974609375,
-0.043212890625,
-0.036376953125,
0.00077056884765625,
-0.07568359375,
-0.0033721923828125,
0.1572265625,
0.053466796875,
0.052001953125,
-0.0732421875,
-0.00927734375,
0.0250244140625,
0.0157470703125,
0.027099609375,
-0.057373046875,
-0.08056640625,
... | 13,702,069 | 13702069 | |
Engineering Reference — EnergyPlus 9.3
Carbon Dioxide Predictor-Corrector[LINK]
The transient air mass balance equation for the change in zone air carbon dioxide concentration may be expressed as follows:
ρairVzCCO2dCtzdt=Nsl∑i=1kgmassschedload∗1.06+Nzones∑i=1˙mi(Czi−Ctz)+˙minf(C∞−Ctz)+˙msys(Csup−Ctz)
where:
Nsl∑i=... | 4 | [
-0.06591796875,
0.048828125,
-0.09033203125,
0.05029296875,
0.0634765625,
-0.0223388671875,
-0.0267333984375,
0.08203125,
0.0069580078125,
0.007293701171875,
-0.004608154296875,
-0.08447265625,
0.02783203125,
-0.064453125,
0.042236328125,
-0.00157928466796875,
-0.004730224609375,
-... | 13,702,070 | 13702070 | |
Formula
The formula to calculate the PPFD (\(\mu mol m^{-2} s^{-1}\)) from Lux is:
\[ PPFD = Lux \times Conversion\ Factor \]
Where:
• \(PPFD\) is the Photosynthetic Photon Flux Density.
• \(Lux\) is the illuminance in lux.
• Conversion Factor depends on the type of light source.
The formula to calculate th... | 4 | [
-0.037353515625,
-0.0191650390625,
-0.0142822265625,
0.036865234375,
0.04833984375,
-0.03857421875,
0.1025390625,
0.1044921875,
0.06591796875,
0.06298828125,
0.123046875,
-0.072265625,
0.103515625,
0.05908203125,
0.1123046875,
0.036865234375,
-0.02001953125,
0.0025482177734375,
-... | 13,702,071 | 13702071 | |
Exercises - Excel Ranges and Formulas
In statistics, the variance of a sample, $s^2$, can be found in two equivalent ways. If the sample consists of values $x_1, x_2, \ldots, x_{10}$ and $n$ is the size of the sample ($n=10$, in this
case), and $\overline{x}$ (pronounced "x-bar") is the average of the sample values, th... | 5 | [
-0.01031494140625,
0.0120849609375,
0.0419921875,
-0.09619140625,
-0.0322265625,
0.08154296875,
-0.0301513671875,
0.11181640625,
-0.008056640625,
-0.0027008056640625,
-0.0230712890625,
-0.0011138916015625,
-0.01446533203125,
-0.0791015625,
-0.01416015625,
0.04345703125,
0.05053710937... | 13,702,072 | 13702072 | |
Price Competition – HKT Consultant
Microeconomics
Price Competition
We have assumed that our oligopolistic firms compete by setting quantities. In many oligopolistic industries, however, competition occurs along price dimen- sions. For example, automobile companies
view price as a key strategic variable, and each one... | 5 | [
-0.022216796875,
-0.01953125,
-0.00213623046875,
-0.0673828125,
-0.0185546875,
0.052001953125,
-0.01116943359375,
0.0732421875,
0.0546875,
-0.0189208984375,
0.01025390625,
0.05029296875,
0.057373046875,
0.0185546875,
0.044677734375,
-0.0419921875,
0.0018463134765625,
0.049072265625... | 13,702,073 | 13702073 | |
PPT - 3D Graphics PowerPoint Presentation, free download - ID:1292621
1. 3D Graphics • Goal: To produce 2D images of a mathematically described 3D environment • Issues: • Describing the environment: Modeling (mostly later) • Computing the image: Rendering
2. Graphics Toolkits • Graphics toolkits typically take care ... | 4 | [
-0.1171875,
-0.006011962890625,
-0.045654296875,
-0.05224609375,
0.0208740234375,
-0.10400390625,
-0.00787353515625,
0.076171875,
0.0152587890625,
-0.0322265625,
-0.04345703125,
-0.019775390625,
-0.031494140625,
0.044189453125,
0.0341796875,
-0.0157470703125,
0.032470703125,
0.0517... | 13,702,074 | 13702074 | |
Congruency theorems
PUMPA - SMART LEARNING
எங்கள் ஆசிரியர்களுடன் 1-ஆன்-1 ஆலோசனை நேரத்தைப் பெறுங்கள். டாப்பர் ஆவதற்கு நாங்கள் பயிற்சி அளிப்போம்
Book Free Demo
A cevian is a line segment that extends from one vertex of a triangle to the opposite side.
In the figure, \(AD\) is a cevian from \(A\).
Special Cevians of ... | 4 | [
-0.1123046875,
-0.00823974609375,
0.0010833740234375,
-0.07177734375,
-0.0186767578125,
-0.044189453125,
0.0191650390625,
0.013671875,
0.05029296875,
0.00726318359375,
0.0986328125,
-0.11474609375,
0.0172119140625,
0.01275634765625,
0.01336669921875,
-0.0079345703125,
-0.11328125,
... | 13,702,075 | 13702075 | |
One Equals Zero: Integral Form
Consider the following integral:
INTEGRAL (1/x) dx
Perform integration by parts: let
u = 1/x , dv = dx
du = -1/x^2 dx , v = x
Then obtain:
INTEGRAL (1/x) dx = (1/x)*x – INTEGRAL x (-1/x^2) dx
= 1 + INTEGRAL (1/x) dx
which implies that 0 = 1.
What’s wrong with this calculation?
T... | 5 | [
-0.039794921875,
0.00775146484375,
0.10791015625,
0.0233154296875,
-0.01275634765625,
-0.109375,
-0.0230712890625,
-0.03271484375,
0.030517578125,
-0.011962890625,
0.0294189453125,
-0.0157470703125,
0.00384521484375,
0.08740234375,
-0.049560546875,
-0.058349609375,
0.0289306640625,
... | 13,702,076 | 13702076 | |
Losses in the DC Machines
The various losses occurring in DC machines can be given as follows.
• Iron loss (Magnetic or Core Loss) : Hysteresis Loss and Eddy Current Loss
• Mechanical Losses : Friction Loss and Windage Loss
• The iron losses are taking place continuously in the core of the armature due to rota... | 4 | [
-0.02197265625,
0.1181640625,
0.003326416015625,
0.0155029296875,
0.0576171875,
0.043212890625,
-0.025390625,
0.08544921875,
0.01153564453125,
0.0146484375,
-0.068359375,
0.07275390625,
0.12255859375,
-0.1357421875,
-0.037109375,
0.016357421875,
-0.047119140625,
0.080078125,
-0.0... | 13,702,077 | 13702077 | |
Theory Log_Impl
(* Title: Computing Square Roots using the Babylonian Method
Author: René Thiemann <rene.thiemann@uibk.ac.at>
Maintainer: René Thiemann
License: LGPL
*)
section ‹A Fast Logarithm Algorithm›
theory Log_Impl
imports
Sqrt_Babylonian_Auxiliary
begin
text ‹We implement... | 5 | [
-0.04150390625,
0.0235595703125,
0.0654296875,
-0.05029296875,
-0.04931640625,
-0.12353515625,
0.022216796875,
0.025390625,
-0.007781982421875,
0.042236328125,
0.00347900390625,
-0.019287109375,
0.02978515625,
0.0299072265625,
-0.0216064453125,
0.048095703125,
-0.1123046875,
0.0703... | 13,702,078 | 13702078 | |
QUESTION BANK SIMPLE AND PRINCIPAL STRESSES CLASS NOTES - ME Subjects - Concepts Simplified
QUESTION BANK SIMPLE AND PRINCIPAL STRESSES CLASS NOTES
QUESTION BANK SIMPLE
AND PRINCIPAL STRESSES
CLASS NOTES
Question bank help to revise and have
better clarity and understanding of the
subject. It helps in various co... | 5 | [
-0.021240234375,
0.0830078125,
0.01068115234375,
-0.0289306640625,
-0.0225830078125,
-0.0283203125,
0.05224609375,
0.1748046875,
-0.07861328125,
0.044921875,
-0.0177001953125,
0.0016632080078125,
-0.00628662109375,
0.00640869140625,
-0.04541015625,
0.031005859375,
-0.015869140625,
... | 13,702,079 | 13702079 | |
Yield Farming | XOX Labs Docs
Overview
Yield farming involves staking LP tokens, acquired from contributing liquidity, in a yield farming pool, where you can earn additional rewards in the form of native XOX tokens.
Yield farming rewards vary depending on the protocol and the current market conditions. Yield farming... | 4 | [
-0.033203125,
-0.035400390625,
-0.05029296875,
-0.0238037109375,
0.07958984375,
-0.01214599609375,
0.06591796875,
0.05517578125,
-0.003265380859375,
-0.080078125,
0.06787109375,
-0.115234375,
-0.01312255859375,
-0.00469970703125,
0.047607421875,
0.035400390625,
0.010009765625,
0.00... | 13,702,080 | 13702080 | |
A consumer price index
Syllabus: Explain that inflation and deflation are typically measured by calculating a consumer price index (CPI), which measures the change in prices of a basket of goods and services consumed by
the average household.
weighted price index. This may be called something like the 'Consumer Price... | 4 | [
-0.057373046875,
-0.06396484375,
-0.0133056640625,
0.0732421875,
0.0022735595703125,
-0.00994873046875,
0.0068359375,
0.01190185546875,
0.07861328125,
-0.036376953125,
0.045654296875,
-0.04443359375,
-0.032958984375,
0.0206298828125,
-0.042236328125,
-0.048828125,
-0.0028839111328125... | 13,702,081 | 13702081 | |
th
May 6th, 2024
It seems that I write about superpermutations way too frequently, and today I’m going to continue the trend. Recall that a superpermutation is a string on n symbols that contains all n! permutations
of those n symbols as contiguous substrings. For example, when n = 3, the 3! = 6 permutations of the sy... | 4 | [
-0.026611328125,
-0.041748046875,
0.0703125,
-0.07666015625,
-0.044921875,
0.03955078125,
-0.07080078125,
0.06884765625,
0.00069427490234375,
-0.03125,
-0.015869140625,
0.0673828125,
0.0023651123046875,
-0.0157470703125,
-0.053955078125,
0.091796875,
0.040283203125,
0.015625,
-0.... | 13,702,082 | 13702082 | |
Median - Formula, Meaning, Example | How to Find Median? (2024)
Median represents the middle value for any group. It is the point at which half the data is more and half the data is less. Median helps to represent a large number of data points with a single data
point. The median is the easiest statistical measure to c... | 4 | [
0.0341796875,
-0.0439453125,
0.026611328125,
-0.033203125,
0.0181884765625,
-0.044921875,
-0.040771484375,
0.1376953125,
0.02392578125,
0.035400390625,
0.00091552734375,
-0.062255859375,
0.048828125,
-0.0299072265625,
0.0091552734375,
-0.0166015625,
-0.01458740234375,
-0.1030273437... | 13,702,083 | 13702083 | |
Day 10 (Advent of Code 2020)
👋 This page was last updated ~4 years ago. Just so you know.
Okay, Day 10.
Again, the problem statement is very confusing - but what it all boils down to is this. We have a list of numbers:
16
10
15
5
1
11
7
19
6
12
4
To which we need to add 0 and whatever the maximum was, plus three:... | 5 | [
-0.09619140625,
0.060791015625,
-0.00567626953125,
-0.033203125,
0.00689697265625,
-0.003631591796875,
0.0115966796875,
0.0257568359375,
-0.06640625,
-0.04345703125,
-0.0103759765625,
-0.02294921875,
0.0191650390625,
0.0118408203125,
0.0137939453125,
-0.006195068359375,
-0.0815429687... | 13,702,084 | 13702084 | |
7. Continuous and Discontinuous Functions
by M. Bourne
This section is related to the earlier section on Domain and Range of a Function. There are some functions that are not defined for certain values of x.
Continuous Functions
Consider the graph of f(x) = x^3 − 6x^2 − x + 30:
Graph of `y=x^3 - 6x^2 - x + 30`, a ... | 4 | [
-0.09228515625,
-0.034912109375,
-0.036865234375,
0.0213623046875,
-0.03466796875,
-0.026611328125,
-0.003814697265625,
0.0299072265625,
0.007171630859375,
0.01806640625,
0.0498046875,
0.02490234375,
0.047119140625,
0.0245361328125,
0.03076171875,
-0.0196533203125,
-0.0234375,
-0.0... | 13,702,085 | 13702085 | |
Exploring Abstract Reasoning Through Mathematical Insights
Written on
Chapter 1: Understanding Mathematical Abstraction
In this discussion, I utilize a problem from the Oxford Mathematics Admissions Test, which involves candy, to illustrate the concept of 'generalization' or 'abstraction' in mathematical reasoning.
... | 4 | [
0.002593994140625,
0.0235595703125,
0.03662109375,
0.006195068359375,
-0.06396484375,
-0.07275390625,
0.08837890625,
0.061279296875,
-0.0003223419189453125,
-0.02490234375,
-0.06396484375,
-0.0016021728515625,
0.03271484375,
0.11376953125,
0.052001953125,
0.049072265625,
-0.018798828... | 13,702,086 | 13702086 | |
Entropy Analysis for Hydromagnetic Darcy–Forchheimer Flow Subject to Soret and Dufour Effects
Department of Mathematics, Quaid-I-Azam University, Islamabad 45320, Pakistan
^*
Author to whom correspondence should be addressed.
Submission received: 26 June 2022 / Revised: 9 September 2022 / Accepted: 14 September 202... | 4 | [
-0.056640625,
0.036865234375,
0.0031585693359375,
0.030029296875,
0.054443359375,
-0.02197265625,
-0.054931640625,
-0.00787353515625,
-0.00555419921875,
-0.044921875,
-0.11865234375,
-0.04638671875,
0.1162109375,
0.007110595703125,
-0.0419921875,
-0.02197265625,
-0.06591796875,
-0.... | 13,702,087 | 13702087 | |
Resistance Determination Using Small Needle Deflection
Question Video: Resistance Determination Using Small Needle Deflection Physics • Third Year of Secondary School
The diagram shows the scale of an ohmmeter that is being used to measure an unknown resistance. The resistance of the ohmmeter is 25 kΩ. The angle of fu... | 4 | [
-0.055908203125,
0.07861328125,
-0.004364013671875,
-0.03955078125,
-0.038330078125,
-0.045654296875,
-0.037353515625,
0.06201171875,
-0.0252685546875,
0.0189208984375,
0.072265625,
-0.078125,
0.01397705078125,
0.022216796875,
-0.0272216796875,
-0.0419921875,
-0.10009765625,
0.0139... | 13,702,088 | 13702088 | |
At 1000 K, Kp = 19.9 for the reaction
Fe2O3(s)+3CO(g)?2Fe(s)+3CO2(g)
What are the equilibrium partial pressures...
At 1000 K, Kp = 19.9 for the reaction Fe2O3(s)+3CO(g)?2Fe(s)+3CO2(g) What are the equilibrium partial pressures...
At 1000 K, Kp = 19.9 for the reaction Fe2O3(s)+3CO(g)?2Fe(s)+3CO2(g)
What are the equili... | 4 | [
-0.04345703125,
0.02685546875,
-0.08447265625,
0.006561279296875,
0.08056640625,
0.047607421875,
0.002349853515625,
0.0279541015625,
-0.04931640625,
-0.01483154296875,
-0.0272216796875,
-0.09765625,
-0.01361083984375,
-0.06982421875,
0.0054931640625,
-0.10546875,
0.017578125,
-0.04... | 13,702,089 | 13702089 | |
Describe an inelastic collision. | TutorChase
Describe an inelastic collision.
An inelastic collision is a collision where kinetic energy is not conserved.
In an inelastic collision, the objects involved stick together after the collision, resulting in a loss of kinetic energy. This loss of kinetic energy is due to t... | 4 | [
0.033935546875,
0.01007080078125,
-0.00628662109375,
0.046875,
0.01519775390625,
-0.033447265625,
-0.044189453125,
0.01043701171875,
0.039306640625,
-0.006622314453125,
0.0177001953125,
-0.09033203125,
-0.05224609375,
-0.0113525390625,
-0.0296630859375,
0.0174560546875,
0.03271484375... | 13,702,090 | 13702090 | |
Predicting Traffic Flow in Local Area Networks by the Largest Lyapunov Exponent
^1
School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an 710072, China
^2
School of Energy and Power Engineering, Xi’an Jiaotong University, Xi’an 710049, China
^*
Author to whom correspondence should be addre... | 4 | [
0.0164794921875,
0.01104736328125,
0.076171875,
0.0286865234375,
-0.01263427734375,
-0.015869140625,
-0.0107421875,
-0.007598876953125,
0.0810546875,
-0.06298828125,
-0.0033111572265625,
0.05908203125,
0.02001953125,
-0.031494140625,
-0.061767578125,
0.083984375,
0.0135498046875,
-... | 13,702,091 | 13702091 | |
nd
© E.S. Maputi and R. Arora, published by EDP Sciences, 2020
1 Introduction
Gear systems are the fulcrum of defined motion in machinery, especially where a specific rotational speed, torque and/or power output is required.Volume and/or efficiency remain the most common
objectives in current literature [1,2]. Furthe... | 4 | [
-0.03662109375,
0.061279296875,
-0.0126953125,
-0.036376953125,
-0.11572265625,
0.0098876953125,
-0.016845703125,
0.068359375,
-0.06396484375,
0.05615234375,
0.02294921875,
0.037841796875,
0.119140625,
-0.01275634765625,
-0.0216064453125,
0.02685546875,
0.07958984375,
0.0703125,
... | 13,702,092 | 13702092 | |
Quadrature of the lunes
A lune is the area left when part of a circle is cut off by another circle. Can you work out the area?
Problem
This resource is from Underground Mathematics.
A lune is the area left when part of a circle is cut off by another circle, as in the following problems. It is called a lune becaus... | 5 | [
-0.0238037109375,
0.04443359375,
0.0014190673828125,
0.0086669921875,
-0.02294921875,
-0.06591796875,
-0.02392578125,
0.0908203125,
-0.0135498046875,
-0.04638671875,
-0.033203125,
-0.018310546875,
-0.0017242431640625,
-0.0302734375,
0.01953125,
0.06640625,
-0.0703125,
0.00546264648... | 13,702,093 | 13702093 | |
Refresh Kid
Understanding the Equation of a Circle: A Derivation Using Distance and the Pythagorean Theorem:
Introduction:
The equation of a circle is a fundamental concept in mathematics, serving as a cornerstone in various fields including geometry, algebra, and even physics. While it may seem complex at first glan... | 4 | [
-0.052978515625,
0.018798828125,
-0.0791015625,
0.09033203125,
0.038330078125,
-0.00933837890625,
-0.0031280517578125,
0.06982421875,
0.138671875,
-0.0106201171875,
0.0037994384765625,
0.02783203125,
0.0115966796875,
0.005401611328125,
0.0048828125,
-0.083984375,
-0.07470703125,
-0... | 13,702,094 | 13702094 | |
Computing Change with Partial Differential Equations
This week started off with brainstorming questions to see where we wanted to go with the solution that we reviewed that was published by Denisov and Beichman. Two of the questions that we began to
ask were how does time become a factor in the stability of the solutio... | 4 | [
-0.0625,
0.05322265625,
0.06494140625,
0.0177001953125,
0.11279296875,
-0.0419921875,
-0.1025390625,
-0.00958251953125,
-0.031982421875,
-0.04150390625,
-0.007415771484375,
0.0308837890625,
-0.0498046875,
-0.07275390625,
0.042724609375,
-0.00738525390625,
-0.10888671875,
-0.0776367... | 13,702,095 | 13702095 | |
Standard deviation and variance
Spread of data set: Standard deviation and variance
On this lesson we will focus on the topic of dispersion of data values from an expected result. The main concepts to learn are the standard deviation and variance, both related to describe the way
how measurements, or outcomes, in a s... | 4 | [
0.0634765625,
0.061279296875,
0.0986328125,
0.056884765625,
-0.05908203125,
-0.011962890625,
-0.07861328125,
0.103515625,
0.0057373046875,
0.033447265625,
0.04150390625,
0.0322265625,
0.0308837890625,
0.006805419921875,
0.01141357421875,
-0.032470703125,
-0.00592041015625,
0.036621... | 13,702,096 | 13702096 | |
Complex Dynamics by Lennart Carleson
By Lennart Carleson
Complex dynamics is at the present time greatly a spotlight of curiosity. even though numerous nice expository articles have been on hand, by means of P. Blanchard and by means of M. Yu. Lyubich
specifically, till lately there has been no unmarried resource the... | 4 | [
-0.1396484375,
-0.01251220703125,
0.0869140625,
0.0255126953125,
-0.01068115234375,
0.125,
-0.04638671875,
0.03466796875,
0.015869140625,
-0.0146484375,
0.03173828125,
0.05859375,
-0.0162353515625,
-0.0194091796875,
-0.03515625,
0.004608154296875,
-0.0086669921875,
-0.0157470703125... | 13,702,097 | 13702097 | |
The process of generating the second tree method: grow max_depth:4 function_index:0 function Address of:<functions._Function object at 0x000001E538356EB0> function_name:add program:[add]
terminal_stack:[2] #############LOOP######################### 1st time depth: 1 choice: 13 choice_index: 4 2_terminal: 3 3_terminal:... | 4 | [
-0.0107421875,
-0.0211181640625,
0.04345703125,
-0.003143310546875,
-0.0048828125,
-0.1181640625,
-0.01068115234375,
0.0263671875,
0.03466796875,
0.0220947265625,
-0.044189453125,
-0.1005859375,
0.0264892578125,
-0.05908203125,
-0.01287841796875,
0.0595703125,
-0.0791015625,
0.0041... | 13,702,098 | 13702098 | |
Scalable GPs with Quasiseparable Kernels
Show code cell content Hide code cell content
try:
import tinygp
except ImportError:
%pip install -q tinygp
try:
import jaxopt
except ImportError:
%pip install -q jaxopt
Scalable GPs with Quasiseparable Kernels#
Warning
The algorithms described in this secti... | 5 | [
-0.036865234375,
-0.00145721435546875,
-0.0277099609375,
-0.043701171875,
0.07470703125,
-0.0576171875,
-0.12890625,
0.048095703125,
-0.02734375,
-0.080078125,
0.033935546875,
0.018310546875,
0.0208740234375,
-0.01519775390625,
-0.0172119140625,
-0.0458984375,
0.146484375,
0.084472... | 13,702,099 | 13702099 |