content string | quality_label int64 | meta string | all-MiniLM-L6-v2_embedding list | doc_id int64 | unique_id string |
|---|---|---|---|---|---|
16.7 Damped Harmonic Motion - College Physics for AP® Courses | OpenStax
Learning Objectives
By the end of this section, you will be able to:
• Compare and discuss underdamped and overdamped oscillating systems.
• Explain critically damped systems.
A guitar string stops oscillating a few seconds after being pluc... | 5 | [
-0.044677734375,
0.0264892578125,
0.0751953125,
0.040283203125,
-0.055419921875,
-0.0830078125,
-0.072265625,
0.0260009765625,
0.068359375,
0.0595703125,
0.04150390625,
0.03955078125,
0.040283203125,
-0.0947265625,
-0.0250244140625,
0.038330078125,
0.125,
0.032470703125,
-0.04296... | 13,707,200 | 13707200 | |
Find cheapest combination of rooms in hotels
Today, on Stack Overflow there was interesting question.
Generally, given table that looks like this:
room | people | price | hotel
1 | 1 | 200 | A
2 | 2 | 99 | A
3 | 3 | 95 | A
4 | 1 | 90 | B
5 | 6 | ... | 5 | [
0.05908203125,
0.01513671875,
-0.039794921875,
0.04736328125,
0.00170135498046875,
0.00946044921875,
0.0274658203125,
-0.0673828125,
-0.060546875,
0.08251953125,
-0.0286865234375,
-0.07421875,
0.1025390625,
0.044921875,
0.06201171875,
0.052978515625,
0.0162353515625,
0.03515625,
... | 13,707,201 | 13707201 | |
How do we expand fractions to make their denominators the same for subtraction?
• MHB
• Thread starter bobisaka
• Start date
In summary, the fractions are expanded to have the same denominator, which makes it possible to subtract them. This is done by finding the least common multiple of the denominators and ex... | 4 | [
-0.0186767578125,
0.01226806640625,
-0.0027313232421875,
0.01153564453125,
0.04736328125,
-0.00121307373046875,
-0.0849609375,
0.037353515625,
-0.007110595703125,
-0.033935546875,
0.03271484375,
-0.056884765625,
0.0037384033203125,
-0.02197265625,
0.0142822265625,
0.007354736328125,
... | 13,707,202 | 13707202 | |
[ad_1]
Listed here are some fastidiously chosen permutation phrase issues that may present you how one can clear up phrase issues involving permutations.
Use the permutation method proven under when the order is necessary.
Let [n]P[r] be the variety of permutations of n objects organized r at a time.
[n]P[r] = ... | 4 | [
0.0458984375,
0.0289306640625,
0.035888671875,
0.00469970703125,
-0.0308837890625,
0.08740234375,
0.035888671875,
-0.01129150390625,
-0.0135498046875,
0.027099609375,
-0.0023193359375,
0.020263671875,
0.0284423828125,
0.05859375,
0.02490234375,
0.04541015625,
0.050537109375,
-0.009... | 13,707,203 | 13707203 | |
The effect of Poisson zeros on OLS regression results
In a previous post I wrote about the Poisson distribution seeming like a good error model for scRNA-seq counts. This suggests using GLM with Poisson likelihood to analyse your data, as long as the
offset due to count depth variation is taken into consideration.
An... | 4 | [
-0.0703125,
-0.053955078125,
0.01153564453125,
0.035888671875,
-0.0174560546875,
-0.0269775390625,
-0.017578125,
-0.034912109375,
0.08251953125,
-0.08056640625,
0.053466796875,
0.01422119140625,
0.0194091796875,
-0.005340576171875,
0.023681640625,
-0.005645751953125,
0.09814453125,
... | 13,707,204 | 13707204 | |
Compute the Day of any Date in Your Head
Calculate whether any date in history was a Friday.
Ever wondered what day your friend’s birthday occurred, or whether the next July 4th will be a Thursday? You can calculate it using simple math, which you’ll learn here!
This simple method uses different codes that we add up... | 4 | [
0.047119140625,
0.10595703125,
-0.033203125,
-0.052490234375,
-0.06884765625,
-0.0079345703125,
-0.0625,
0.021728515625,
-0.095703125,
0.0169677734375,
0.044921875,
-0.0250244140625,
0.03466796875,
-0.0361328125,
-0.0284423828125,
-0.0341796875,
-0.16015625,
0.06396484375,
0.0116... | 13,707,205 | 13707205 | |
High-degree numerical differentiation
Performing differentiation in a computer usually relies on numerical techniques. There are several well-known approaches to this, but all tend to suffer from numerical instability when applied many
times to compute high-degree derivatives. This isn’t usually a problem, but it is wh... | 5 | [
-0.08837890625,
-0.021240234375,
0.04638671875,
0.01129150390625,
-0.07373046875,
-0.061279296875,
0.00122833251953125,
-0.016845703125,
0.12255859375,
0.047607421875,
0.034912109375,
-0.033203125,
0.03125,
-0.0172119140625,
0.0267333984375,
-0.0908203125,
-0.09033203125,
0.0612792... | 13,707,206 | 13707206 | |
How do you find the determinant of |(3,4), (2,5)|? | Socratic
How do you find the determinant of #|(3,4), (2,5)|#?
1 Answer
$\det \left(\begin{matrix}3 & 4 \\ 2 & 5\end{matrix}\right) = 7$
Explanation:
The use of proper notation should be observed, as:
$| \left(3 , 4\right) , \left(2 , 5\right) | \text{ }$... | 4 | [
-0.00836181640625,
-0.06689453125,
-0.023681640625,
-0.09375,
0.08154296875,
-0.021728515625,
0.0026397705078125,
-0.0263671875,
-0.040771484375,
0.0107421875,
0.044189453125,
0.055908203125,
-0.00811767578125,
-0.01116943359375,
-0.01373291015625,
0.0537109375,
-0.0279541015625,
-... | 13,707,207 | 13707207 | |
Bob is taking his son to look at colleges. The first college they plan to visit is 150 miles from their home. In the first hour they drive at a rate of 60 mph. If they want to reach their destination in 2.5 hours, what speed must they average for the remainder of their trip? (I wouldn't mind if you use a proportion sin... | 4 | [
0.0322265625,
0.06298828125,
0.0576171875,
0.004486083984375,
0.0439453125,
-0.031005859375,
-0.040283203125,
0.044189453125,
-0.052001953125,
0.0098876953125,
0.046142578125,
-0.061279296875,
0.004150390625,
0.0196533203125,
-0.041015625,
0.01470947265625,
-0.01312255859375,
0.062... | 13,707,208 | 13707208 | |
Additional reinforcement for torsion (concrete beam: EC2)
The design value of the shear resistance of a concrete section with no shear reinforcement, V[Rd,c] is given by;^1
V[Rd,c] = ν[min] * b[w] * d
For design in accordan... | 4 | [
-0.06298828125,
0.047119140625,
0.0279541015625,
-0.06103515625,
-0.0390625,
0.043212890625,
-0.04638671875,
0.053466796875,
0.007293701171875,
0.05029296875,
0.027099609375,
-0.12451171875,
0.0242919921875,
0.008056640625,
-0.0040283203125,
0.054443359375,
-0.00238037109375,
0.092... | 13,707,209 | 13707209 | |
ocumentation
x <- rnorm(25, 100, 5)
ZTest(x, mu=99, sd_pop=5)
# the classic interface
with(sleep, ZTest(extra[group == 1], extra[group == 2], sd_pop=2))
# the formula interface
ZTest(extra ~ group, data = sleep, sd_pop=2)
# Stahel (2002), pp. 186, 196
d.tyres <- data.frame(A=c(44.5,55,52.5,50.2,45.3,46.1,52.1,50.5... | 4 | [
-0.03759765625,
0.034423828125,
0.00016307830810546875,
0.0595703125,
0.08740234375,
-0.047607421875,
-0.0152587890625,
0.0634765625,
0.00112152099609375,
-0.054443359375,
-0.005401611328125,
-0.029296875,
0.0419921875,
0.01202392578125,
0.0390625,
0.058349609375,
-0.041015625,
0.0... | 13,707,210 | 13707210 | |
Calculating the Height of a Cylinder given Its Total Surface Area
Question Video: Calculating the Height of a Cylinder given Its Total Surface Area Mathematics • Second Year of Preparatory School
Determine the height of a cylinder given that its total surface area is 100 cm² and its radius equals its height. Round you... | 4 | [
0.00933837890625,
0.04052734375,
0.0023345947265625,
-0.02001953125,
-0.017333984375,
-0.0556640625,
-0.072265625,
0.185546875,
-0.03955078125,
-0.00958251953125,
-0.0021514892578125,
-0.0291748046875,
0.061279296875,
0.11474609375,
0.00921630859375,
0.004119873046875,
-0.07275390625... | 13,707,211 | 13707211 | |
Molecular noise of innate immunity shapes bacteria-phage ecologies
Abstract
Mathematical models have been used successfully at diverse scales of biological organization, ranging from ecology and population dynamics to stochastic reaction events occurring between individual
molecules in single cells. Generally, many bi... | 4 | [
-0.0264892578125,
-0.09765625,
0.005615234375,
0.00445556640625,
0.056640625,
0.01544189453125,
-0.0201416015625,
0.01544189453125,
0.08544921875,
-0.039794921875,
-0.02734375,
-0.09375,
0.06396484375,
0.06298828125,
-0.0400390625,
0.007598876953125,
-0.08984375,
0.056640625,
-0.... | 13,707,212 | 13707212 | |
How do you solve 2x - (3/4) + (4/3) = 8 + (4/3)? | HIX Tutor
How do you solve #2x - (3/4) + (4/3) = 8 + (4/3)#?
Answer 1
#2x - 3/4 + color(blue)(4/3) = 8 +color(blue)(4/3#
#2x - 3/4 = 8 +color(blue)(4/3 - 4/3#
#2x - 3/4 = 8 +0#
#2x - 3/4 = 8 #
#(2x*4)/4 - 3/4 = 8 #
#(8x- 3)/4 = 8 #
#8x- 3 = 8*4 #
#8x- 3 = 32 #... | 4 | [
-0.04931640625,
0.043212890625,
0.06396484375,
-0.0164794921875,
-0.035400390625,
-0.0289306640625,
0.00335693359375,
0.0184326171875,
0.0274658203125,
-0.005340576171875,
0.041748046875,
-0.08740234375,
0.080078125,
-0.002349853515625,
-0.03173828125,
0.09716796875,
-0.08447265625,
... | 13,707,213 | 13707213 | |
Topics: Hamiltonian Dynamics
In General > s.a. hamiltonian systems [including boundaries]; Momentum; phase space.
* Motivation: An elegant, geometrical way of expressing the dynamical content of a physical theory (usually the system must be non-dissipative); It is convenient for the study of symmetries and
conservation... | 4 | [
-0.11669921875,
-0.002655029296875,
0.039794921875,
-0.04541015625,
-0.044921875,
0.08056640625,
0.01055908203125,
0.055908203125,
0.06396484375,
-0.028076171875,
0.060546875,
-0.0064697265625,
-0.005126953125,
-0.03662109375,
0.11328125,
0.004364013671875,
-0.09375,
0.052978515625... | 13,707,214 | 13707214 | |
Chapter Review
12.1 Linear Equations
The most basic type of association is a linear association. This type of relationship can be defined algebraically by the equations used, numerically with actual or predicted data values, or
graphically from a plotted curve. Lines are classified as straight curves. Algebraically, ... | 4 | [
-0.057861328125,
-0.053466796875,
-0.0235595703125,
0.058349609375,
-0.0230712890625,
0.053466796875,
-0.01068115234375,
0.01068115234375,
0.037109375,
0.0103759765625,
0.10498046875,
0.017822265625,
0.0625,
0.0228271484375,
-0.004364013671875,
0.115234375,
-0.07373046875,
0.020263... | 13,707,215 | 13707215 | |
MathBait™ Multiplication | MathBait
top of page
MathBait™ Multiplication
MathBait™ Multiplication
Combining all the best elements of the many multiplication models, we are excited to introduce MathBait™ Multiplication! This method not only helps students build a strong foundation in the
distributive property and gro... | 4 | [
-0.0703125,
0.020751953125,
-0.035888671875,
-0.064453125,
-0.12109375,
-0.07958984375,
0.0264892578125,
0.07763671875,
-0.00830078125,
-0.0194091796875,
0.042236328125,
0.023193359375,
0.0079345703125,
0.056396484375,
0.01953125,
0.006866455078125,
-0.0908203125,
0.1357421875,
-... | 13,707,216 | 13707216 | |
Formulas and Approaches
Consumer theory
Lagrangian method for utility maximization
Write down the given utility function and budget constraint:
Utility function example: 𝑈(𝑍, 𝐵) = 𝑍 0.25 ∗ 𝐵 0.75
Budget constraint example: 𝑌 = 𝑍 + 𝐵
Now set up the lagrangian function:
𝐿(𝑍, 𝐵, 𝜆) = 𝑈(𝑍, 𝐵) − 𝜆(𝑝𝑍 𝑍 +... | 5 | [
-0.00726318359375,
-0.01806640625,
-0.06591796875,
-0.037109375,
-0.009765625,
0.04541015625,
0.048095703125,
0.0301513671875,
-0.0576171875,
0.011474609375,
0.1181640625,
-0.04931640625,
0.0703125,
0.0006866455078125,
0.048583984375,
0.045166015625,
0.0673828125,
-0.0166015625,
... | 13,707,217 | 13707217 | |
[Solved] Consider the following grammar along with translation rules.
Consider the following grammar along with translation rules.
S → S[1] # T {S[1.val]*T[.val]}
S → T {S[.val] = T[.val]}
T → T[1]%R {T[.val] = T[1.val] ÷ R[.val]}
T → R {T[.val] = R[.val]}
R → id {R[.val] = id[.val]}
Here # and % are operators an... | 4 | [
-0.002899169921875,
0.058349609375,
0.0068359375,
0.01483154296875,
-0.0322265625,
-0.034912109375,
0.07666015625,
0.09033203125,
0.0311279296875,
0.010986328125,
-0.01055908203125,
-0.046875,
0.04296875,
0.0211181640625,
0.0157470703125,
0.01434326171875,
-0.10009765625,
0.0629882... | 13,707,218 | 13707218 | |
Solution to Median of Two Sorted Arrays by LeetCode
25 Mar
Question: http://oj.leetcode.com/problems/median-of-two-sorted-arrays/
Question Name: Median of Two Sorted Arrays
This question is quite similar with the nu2011 (DoubleMedian) by Codility. Both of them are the variants of the question: find the kth smalles... | 4 | [
0.0157470703125,
0.052490234375,
-0.044921875,
-0.08447265625,
-0.001708984375,
-0.07568359375,
0.0052490234375,
-0.002166748046875,
-0.050048828125,
0.033935546875,
-0.054931640625,
-0.0179443359375,
0.087890625,
0.0189208984375,
-0.07568359375,
0.06689453125,
-0.0194091796875,
-0... | 13,707,219 | 13707219 | |
Relations
Naive Set Theory: Relations
Relations
Given a particular set $S$, we may want to express a relationship between its elements. For example, given a set $F = \{\text{Mom}, \text{Dad}, \text{Brother}, \text{Sister} \}$, we may want to
express the concept of descendant-ness. In this case, we would want to expre... | 4 | [
0.00124359130859375,
0.03564453125,
-0.058349609375,
0.0057373046875,
-0.0859375,
-0.009033203125,
-0.0859375,
0.01416015625,
0.0791015625,
-0.01409912109375,
-0.025634765625,
-0.06005859375,
0.076171875,
-0.0052490234375,
0.06787109375,
0.0419921875,
0.068359375,
0.06982421875,
... | 13,707,220 | 13707220 | |
Using Normalized LMS Adaptive Filter
Remove Low Frequency Noise in Simulink Using Normalized LMS Adaptive Filter
Adaptive filters track the dynamic nature of a system and allow you to eliminate time-varying signals. The DSP System Toolbox™ libraries contain blocks that implement least-mean-square (LMS), block
LMS, fa... | 4 | [
0.01312255859375,
0.0458984375,
0.023193359375,
0.051513671875,
0.0037078857421875,
-0.053955078125,
-0.0250244140625,
-0.035400390625,
-0.0189208984375,
-0.0576171875,
0.0262451171875,
0.0137939453125,
-0.00089263916015625,
-0.0908203125,
-0.022216796875,
0.0194091796875,
0.04858398... | 13,707,221 | 13707221 | |
None
PLATINUM
Know the purity
Unlike gold, platinum and silver have fewer levels of purity typically used for jewellery. The purity levels can vary from country to country but we will refer to the ones used most in Australia.
Platinum can be used as 850, 900, or 950 parts per thousand. In Australia, platinum is typi... | 4 | [
-0.043212890625,
-0.040283203125,
-0.01531982421875,
0.020263671875,
-0.0159912109375,
-0.08447265625,
0.058837890625,
0.0859375,
0.006683349609375,
-0.06494140625,
-0.06201171875,
-0.0634765625,
-0.004608154296875,
0.031982421875,
0.0224609375,
-0.053466796875,
0.0712890625,
0.074... | 13,707,222 | 13707222 | |
VTech Precomputer 1000 Examples
I will be posting examples for the VTech PreComputer 1000 here.
My first example is a program to convert a binary number to its decimal counterpart.
Code: Select all
10 PRINT "BINARY TO DECIMAL"
20 INPUT "BINARY #: "; B
30 IF B <= 0 THEN 80
40 LET R = B - (10 * INT(B / 10))
50 LET D... | 4 | [
-0.01470947265625,
0.044677734375,
-0.026611328125,
-0.09228515625,
-0.1416015625,
-0.006744384765625,
0.052001953125,
0.07275390625,
-0.07568359375,
0.07861328125,
-0.00738525390625,
-0.0162353515625,
0.05126953125,
-0.016845703125,
-0.0308837890625,
0.051025390625,
-0.04833984375,
... | 13,707,223 | 13707223 | |
Science:Math Exam Resources/Courses/MATH437/December 2011/Question 07 (ii)
MATH437 December 2011
Work in progress: this question page is incomplete, there might be mistakes in the material you are seeing here.
• Q1 • Q2 • Q3 • Q4 • Q5 • Q6 • Q7 (i) • Q7 (ii) •
... | 5 | [
-0.08642578125,
0.05126953125,
0.0250244140625,
-0.00360107421875,
-0.02001953125,
0.00799560546875,
0.11865234375,
-0.01104736328125,
-0.0216064453125,
-0.02099609375,
0.061279296875,
0.0093994140625,
0.05517578125,
0.0185546875,
-0.0732421875,
0.019775390625,
-0.08056640625,
-0.0... | 13,707,224 | 13707224 | |
Subgroups. | JustToThePointSubgroups.
For example is not proof but it does show that something is possible.
Definition. Let G be a group. A subgroup is a subset of a group which is also a group of its own, that is, that follows all axioms that are required to form a group. Formally, H ⊂ G (H is a subset of
G), ∀a,... | 4 | [
-0.0751953125,
0.0012359619140625,
0.0517578125,
0.0693359375,
0.0390625,
-0.013671875,
0.0419921875,
0.0230712890625,
0.05126953125,
-0.0908203125,
0.02587890625,
-0.042236328125,
0.04052734375,
-0.1328125,
0.055908203125,
-0.04931640625,
-0.01806640625,
0.002166748046875,
-0.04... | 13,707,225 | 13707225 | |
non-lattice polygon
Lattice points inside non-lattice polygon¶
For lattice polygons there is Pick's formula to enumerate the lattice points inside the polygon. What about polygons with arbitrary vertices?
Let's process each of the polygon's edges individually, and after that we may sum up the amounts of lattice... | 4 | [
-0.006988525390625,
-0.0152587890625,
-0.0027008056640625,
-0.06591796875,
0.00921630859375,
-0.0284423828125,
0.08251953125,
-0.03759765625,
0.0439453125,
-0.03466796875,
-0.038330078125,
-0.046630859375,
0.027099609375,
0.046875,
0.059814453125,
0.056884765625,
0.048095703125,
0.... | 13,707,226 | 13707226 | |
How to Optimize the Frequency Response of Buck Regulator ICS Externally
要約
This application note describes how external compensation works and provides a method to implement it with above-mentioned devices. Through external compensation, the frequency response of buck
switching regulators is adjusted to increase or d... | 4 | [
-0.0257568359375,
0.083984375,
-0.07763671875,
0.0537109375,
-0.000499725341796875,
-0.03515625,
0.0302734375,
0.12109375,
-0.04150390625,
0.0302734375,
0.0111083984375,
0.00830078125,
0.04345703125,
-0.10302734375,
0.0213623046875,
0.11767578125,
0.12353515625,
0.1142578125,
-0.... | 13,707,227 | 13707227 | |
Knee forces and moments for neutral (0°) and 5, 10 and 25 degrees of varus malalignment.Knee forces and moments for neutral (0°) and 5, 10 and 25 degrees of external rotation malalignment.The tibial component of TKR showing medial polyethylene loss and burnishing in the anterior medial tibial tray [7].Coordinate system... | 4 | [
-0.02001953125,
0.033935546875,
-0.0108642578125,
-0.109375,
-0.047119140625,
0.024658203125,
0.021240234375,
0.11279296875,
0.1240234375,
0.083984375,
0.0108642578125,
0.0791015625,
0.07958984375,
0.09423828125,
-0.0028533935546875,
-0.024658203125,
-0.059814453125,
0.06640625,
... | 13,707,228 | 13707228 | |
5.7 Inverses and Radical Functions - Algebra and Trigonometry | OpenStax
In this section, you will:
• Find the inverse of an invertible polynomial function.
• Restrict the domain to find the inverse of a polynomial function.
A mound of gravel is in the shape of a cone with the height equal to twice the radius.
T... | 5 | [
-0.01116943359375,
0.0272216796875,
-0.037353515625,
0.0299072265625,
-0.00579833984375,
-0.0732421875,
-0.06591796875,
0.068359375,
0.0162353515625,
0.042236328125,
-0.025390625,
-0.028076171875,
0.00848388671875,
0.07958984375,
0.037109375,
-0.0029449462890625,
-0.034912109375,
0... | 13,707,229 | 13707229 | |
Confined Flow
Sometimes when you are looking at fluid flowing through a system you will notice that the cross-sectional area changes. This is an example of confined flow. When you are analyzing this type of
problem you can use Bernoulli equation to express the change in the fluids characteristics as it flows from o... | 4 | [
-0.040283203125,
-0.00191497802734375,
-0.0311279296875,
0.06298828125,
0.053466796875,
-0.0001583099365234375,
0.042724609375,
0.056640625,
-0.01104736328125,
-0.03759765625,
-0.06298828125,
-0.06787109375,
0.126953125,
0.06640625,
-0.03955078125,
-0.04638671875,
-0.03564453125,
-... | 13,707,230 | 13707230 | |
Question: Laura and Harold are repotting orchids. They plant 2 orchid plants in each pot. When they’re done, they have 3 rows of 5 pots of orchids. How many orchid plants did Laura and Harold repot?
Answer: 30 orchid plants
Solution: Since there are 3 rows of 5 pots, there are 5 + 5 + 5 = 15 pots. Since there are tw... | 4 | [
0.004241943359375,
0.07958984375,
-0.0191650390625,
-0.020263671875,
-0.0341796875,
0.0125732421875,
0.0013885498046875,
-0.0294189453125,
0.019287109375,
0.034423828125,
-0.0869140625,
-0.026611328125,
-0.040283203125,
0.0013275146484375,
-0.033447265625,
0.06982421875,
-0.067871093... | 13,707,231 | 13707231 | |
binary linear programming
binary linear programming
to whom it may concern greeting
I have written a binary linear programing. It seems ok.
But the result is MIPSolverException: 'GLPK : Solution is undefined'
I will appreciate if you can help me and describe the reason
Regards Aissan
Comments
It's usually not p... | 4 | [
-0.029541015625,
0.009765625,
-0.02001953125,
0.019287109375,
-0.02783203125,
-0.10400390625,
0.01171875,
0.04443359375,
-0.12255859375,
0.053955078125,
-0.0269775390625,
0.019287109375,
0.0137939453125,
0.01263427734375,
-0.048095703125,
0.1171875,
0.01458740234375,
-0.072265625,
... | 13,707,232 | 13707232 | |
Process Capability
The connection between the specifications or drawings or design requirements and the manufacturing process is the capability of the process to consistently create items within spec.
A ratio of the specification over the spread of measured items provides a means to describe the process capability.
T... | 5 | [
0.034423828125,
-0.0123291015625,
-0.037841796875,
-0.0126953125,
-0.03564453125,
-0.019775390625,
-0.046875,
0.05908203125,
-0.044677734375,
-0.04736328125,
-0.028076171875,
-0.01544189453125,
0.0145263671875,
0.0213623046875,
-0.0732421875,
-0.051025390625,
0.10693359375,
-0.0527... | 13,707,233 | 13707233 | |
Mortgage interest rate excel formula
How to calculate monthly mortgage payment in Excel? For most of modern people, to calculate monthly mortgage payment has become a common job. In this article, I introduce the trick to calculating
monthly mortgage payment in Excel for you. In the formula, B2 is the annual interest r... | 5 | [
0.04833984375,
0.00408935546875,
-0.05859375,
-0.083984375,
-0.05712890625,
-0.05517578125,
-0.1259765625,
0.01336669921875,
0.005401611328125,
0.044189453125,
-0.034912109375,
-0.055908203125,
-0.03076171875,
0.0068359375,
0.039306640625,
0.11279296875,
-0.0849609375,
-0.003051757... | 13,707,234 | 13707234 | |
Time Value of Money – Six Functions of a Dollar
Time Value of Money – Six Functions of a Dollar
Lesson 9 – Frequency of Compounding
Appraisal Training: Self-Paced Online Learning Session
This lesson discusses the frequency of compounding and its affect on the present and future values using the compound interest fun... | 5 | [
0.0303955078125,
0.07666015625,
-0.05908203125,
0.01300048828125,
-0.00653076171875,
-0.031982421875,
-0.015625,
0.064453125,
0.032958984375,
0.09033203125,
0.04443359375,
-0.0022430419921875,
-0.04638671875,
0.0308837890625,
0.041015625,
0.0142822265625,
-0.119140625,
-0.000482559... | 13,707,235 | 13707235 | |
Rubí E. Rodríguez's research works | Universidad de La Frontera and other places
What is this page?
This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our
legitimate goal of comp... | 4 | [
-0.1396484375,
0.0274658203125,
0.064453125,
0.0072021484375,
0.0400390625,
0.01263427734375,
0.0361328125,
0.06689453125,
-0.01806640625,
-0.036376953125,
0.068359375,
0.01409912109375,
-0.0296630859375,
0.00112152099609375,
0.0281982421875,
0.0908203125,
-0.1337890625,
-0.0771484... | 13,707,236 | 13707236 | |
Homework Solution for Chapter 6 - Applied Regression Analysis | STAT 645 | Assignments Statistics | Docsity
Download Homework Solution for Chapter 6 - Applied Regression Analysis | STAT 645 and more Assignments Statistics in PDF only on Docsity! STAT 645 HOMEWORK SOLUTION FOR CHPATER 6 SPRING 2006 Problem
6.1 (a) X= ⎥ ... | 5 | [
-0.01611328125,
-0.072265625,
-0.03515625,
-0.002593994140625,
0.032958984375,
0.10888671875,
0.02392578125,
-0.028076171875,
-0.017578125,
0.018798828125,
0.08544921875,
0.0191650390625,
-0.01470947265625,
0.0023040771484375,
-0.01300048828125,
0.1064453125,
0.001495361328125,
-0.... | 13,707,237 | 13707237 | |
Thomas Algorithm Adi Matlab
Thomas Algorithm Adi Matlab; Thomas algorithm is an iterative method for finding roots of nonlinear equations. The method was developed by George Thomas in 1939. It can be used to find all roots of a
nonlinear equation f(x) = 0, or it can be used to find all real roots±one at a time.
The a... | 4 | [
-0.076171875,
0.007415771484375,
-0.08740234375,
0.015869140625,
-0.017333984375,
-0.119140625,
-0.078125,
0.061767578125,
0.01300048828125,
0.0264892578125,
0.0228271484375,
0.0693359375,
0.05029296875,
-0.025146484375,
-0.049560546875,
0.0024566650390625,
-0.1279296875,
0.0077819... | 13,707,238 | 13707238 | |
Revisiting Clairault's Equation
The technique for solving differential equations which do not contain x or y explicitly was first developed by Alexis Clairaut (1713- 1765) and is called Clairaut's equation. Such equations are of
the form:
y = px + f(p)
If we differentiate with respect to x we get:
p = p + [x + df/dp... | 5 | [
-0.10693359375,
-0.017578125,
0.1181640625,
0.0064697265625,
0.04541015625,
0.0235595703125,
0.05029296875,
0.02197265625,
0.00592041015625,
0.02294921875,
0.083984375,
0.01806640625,
-0.08642578125,
0.0284423828125,
0.00860595703125,
0.0322265625,
-0.11865234375,
0.0208740234375,
... | 13,707,239 | 13707239 | |
Calculating expected values - Science without sense...
The why and wherefores
Calculating expected values.
Calculating expected values is done by multiplying the marginals of the cell and dividing by the total of the table. This rule is reasoned.
Do you remember the last post about girls with their level of educ... | 4 | [
0.138671875,
0.00640869140625,
0.0020294189453125,
0.0634765625,
-0.00140380859375,
0.05078125,
0.0272216796875,
0.06396484375,
-0.0196533203125,
0.10986328125,
0.1337890625,
-0.028076171875,
0.0439453125,
0.046630859375,
-0.04541015625,
0.01348876953125,
-0.01043701171875,
-0.0334... | 13,707,240 | 13707240 | |
HyperLogLog - Estimating data size using statistical and probabilistic principles - Allen_Jeo
Introduction to the HyperLogLog Algorithm#
In big data processing, we often encounter the problem of counting the number of distinct elements. For example, we want to know how many unique users visit a large website every day... | 5 | [
0.11328125,
0.0206298828125,
-0.026123046875,
0.0034637451171875,
-0.048583984375,
-0.034423828125,
0.06640625,
-0.01226806640625,
-0.00982666015625,
0.0133056640625,
0.008544921875,
0.055908203125,
0.0380859375,
0.000194549560546875,
-0.046142578125,
0.0172119140625,
-0.016479492187... | 13,707,241 | 13707241 | |
Quantum Numbers for Electrons
Learning Objectives
1. Explain what spectra are.
2. Learn the quantum numbers that are assigned to electrons.
There are two fundamental ways of generating light: either heat an object up so hot it glows or pass an electrical current through a sample of matter (usually a gas). Incandesc... | 4 | [
-0.04150390625,
0.02880859375,
-0.08251953125,
0.08203125,
-0.07666015625,
0.072265625,
0.130859375,
-0.049560546875,
0.029541015625,
-0.006256103515625,
-0.02099609375,
-0.056640625,
-0.00433349609375,
0.0111083984375,
0.036865234375,
0.060546875,
-0.0037841796875,
-0.0751953125,
... | 13,707,242 | 13707242 | |
13 barcode
Encoding EAN 13:
Cette page en Franais
An EAN-13 barcode has the following physical structure:
• Left guard bars, or start sentinel, encoded as 101.
• The second character of the number system code, encoded as described below.
• The five characters of the Manufacturer Code, encoded as described... | 4 | [
-0.07568359375,
-0.0050048828125,
-0.07421875,
-0.07373046875,
-0.00830078125,
0.038818359375,
0.03564453125,
0.043701171875,
0.09228515625,
-0.0322265625,
0.10107421875,
0.055908203125,
-0.006439208984375,
-0.033203125,
-0.040771484375,
-0.04150390625,
-0.07568359375,
-0.009033203... | 13,707,243 | 13707243 | |
Mathematics for Elementary Teachers
Triangles and Quadrilaterals
Think / Pair / Share
Follow these directions on your own:
• Draw any triangle on your paper.
• Draw a second triangle that is different in some way from your first one. Write down a sentence or two to say how it is different.
• Draw a third trian... | 4 | [
0.01226806640625,
0.044189453125,
-0.05419921875,
-0.060546875,
-0.1259765625,
-0.03515625,
-0.07080078125,
-0.011474609375,
0.060546875,
0.035400390625,
0.0185546875,
-0.03662109375,
-0.024658203125,
0.099609375,
0.0673828125,
-0.030517578125,
-0.02294921875,
0.08642578125,
-0.0... | 13,707,244 | 13707244 | |
The Normalizer/Centralizer Theorem. | JustToThePointThe Normalizer/Centralizer Theorem.
“Beauty is so many things… and you are in all of them,” I said. “Wow! I thought that you were as romantic as a brick to the head or a nuclear bomb’s guts”, Susanne replied, Apocalypse, Anawim, #
justothepoint.
“When bia... | 4 | [
-0.0380859375,
0.00323486328125,
0.12451171875,
0.054931640625,
-0.00927734375,
0.00555419921875,
0.041015625,
-0.0458984375,
0.0172119140625,
-0.019287109375,
0.09423828125,
0.0103759765625,
0.01123046875,
-0.0654296875,
0.001495361328125,
0.0294189453125,
-0.02734375,
0.084960937... | 13,707,245 | 13707245 | |
06 Abstract Data Types, Binary AVL Search Trees
Lecture from: 22.10.2024 | Video: Videos ETHZ | Official Script
Abstract Data Types
Last time, we discussed abstract data types and how various data structures can implement them. We saw that lists aren’t ideal for dictionaries due to their inefficient insertion and sea... | 4 | [
-0.061767578125,
0.06689453125,
0.026123046875,
-0.013671875,
0.0284423828125,
-0.1494140625,
0.044921875,
-0.039306640625,
0.033935546875,
0.06396484375,
0.0242919921875,
0.036865234375,
0.0341796875,
-0.02783203125,
0.0196533203125,
0.047607421875,
-0.09033203125,
0.05126953125,
... | 13,707,246 | 13707246 | |
Computing Compounded Gain, and Annualized Return results
When we say something gained 1.5x times, it has 1.5X more value than your original investment. The 1x is the initial amount and the 0.5x is the gain. That 1x becomes 100% when multiplied by 100 for
percentage. And if it gained to 2.5x, the original is still 1x ... | 5 | [
0.005096435546875,
0.021240234375,
0.00001811981201171875,
0.0186767578125,
0.0201416015625,
-0.099609375,
-0.00183868408203125,
0.0311279296875,
0.0242919921875,
0.0908203125,
0.030029296875,
-0.029541015625,
0.0279541015625,
0.0224609375,
0.00640869140625,
0.06982421875,
-0.0371093... | 13,707,247 | 13707247 | |
Doodleland Doodles
Şehmettin wants to buy a cabbage. To buy the cabbage he needs to go to the grocer who never gives back any change. So Şehmettin needs to give the exact cost of the cabbage otherwise he would get
duped by the grocer. Şehmettin lives in Doodleland where every coin/banknote has the value of a power of 2... | 4 | [
-0.01385498046875,
0.004302978515625,
-0.055419921875,
0.0072021484375,
-0.00506591796875,
-0.0810546875,
0.08544921875,
0.017822265625,
0.07568359375,
-0.0196533203125,
0.012939453125,
-0.13671875,
0.01434326171875,
0.0205078125,
-0.019775390625,
-0.0184326171875,
0.004425048828125,... | 13,707,248 | 13707248 | |
How to Calculate the Slope of a Demand Curve With a Table | Bizfluent
Finance Your Business
How to Calculate the Slope of a Demand Curve With a Table
The demand curve is a graph used in economics to demonstrate the relationship between the price of a product and the demand for that same product. The graph is calculat... | 4 | [
-0.06591796875,
0.025390625,
-0.09326171875,
-0.036865234375,
-0.08740234375,
0.05029296875,
-0.005126953125,
0.107421875,
0.04052734375,
0.10595703125,
0.0306396484375,
-0.0244140625,
0.10009765625,
0.059326171875,
0.05712890625,
0.09521484375,
-0.07177734375,
0.0211181640625,
0... | 13,707,249 | 13707249 | |
Partial
The type partial A is the type of partial computable objects:
partial : intersect (i : level) . U i -> U i
The (possibly partial) term M belongs to partial A if M : A whenever M halts.
The predicate halts M indicates that the term M halts:
halts : intersect (i : level) (a : U i) . partial a -> U 0
partial... | 4 | [
-0.0216064453125,
-0.00787353515625,
0.04150390625,
0.004486083984375,
0.0228271484375,
-0.03369140625,
-0.005889892578125,
-0.0208740234375,
-0.057373046875,
0.023681640625,
-0.043212890625,
-0.03271484375,
0.0150146484375,
-0.0186767578125,
-0.01409912109375,
0.032470703125,
0.0317... | 13,707,250 | 13707250 | |
CS635 – Problem Set #7 solution
Description
Instructions for Handing In Homework
Formulate the following problems in GAMS and solve them. Please follow the instructions given in
the problems closely. Submit this assignment electronically to the drop box. You should hand in a
single zip file containing files with the f... | 5 | [
-0.080078125,
0.01239013671875,
0.0654296875,
-0.0235595703125,
0.010498046875,
-0.039794921875,
0.07958984375,
-0.00848388671875,
-0.1259765625,
-0.029052734375,
-0.021484375,
-0.05419921875,
0.020263671875,
-0.0419921875,
-0.09033203125,
0.0478515625,
-0.038330078125,
-0.04541015... | 13,707,251 | 13707251 | |
CAT 2023 | Slot 2 | Quantitative Aptitude | 2IIM CAT Coaching
CAT 2023 Quant was dominated by Algebra followed by Arithmetic. In Arithmetic, the questions were dominated by topics like Speed-time-distance, Mixture and Alligations. This year, there was a
surprise. The questions from Geometry were relatively on the lower... | 4 | [
0.00098419189453125,
0.0634765625,
-0.00762939453125,
-0.05078125,
-0.054443359375,
0.0123291015625,
0.00057220458984375,
0.08984375,
-0.0419921875,
0.023193359375,
0.0294189453125,
-0.046630859375,
0.080078125,
0.0703125,
0.0361328125,
-0.01312255859375,
0.00010395050048828125,
-0... | 13,707,252 | 13707252 | |
T>T: Behind the Doors of the Monty Hall Puzzle
Try the code yourself!
Click the following button to launch an ipython notebook on Google Colab which implements the code developed in this post:
The Monty Hall problem poses a probability puzzle that, at first glance, appears deceptively simple but unfolds into a soluti... | 4 | [
-0.002044677734375,
0.0634765625,
-0.018310546875,
-0.0498046875,
0.0255126953125,
-0.005126953125,
0.06396484375,
0.007720947265625,
0.07080078125,
0.046142578125,
-0.01080322265625,
-0.06396484375,
0.0703125,
-0.002899169921875,
0.042724609375,
-0.07275390625,
0.029296875,
-0.042... | 13,707,253 | 13707253 | |
Control Engineering: P, PI, and PID Controller Tuning
This post is written as a homework/experiment for Introduction to Control Engineering course. You can find the PDF version of it (which looks better, I think) below.
Introduction
This document is intended to be the first report of the laboratory. The objective of... | 5 | [
-0.1279296875,
-0.038818359375,
-0.056884765625,
0.0262451171875,
0.01556396484375,
0.06884765625,
-0.038818359375,
0.053466796875,
0.0771484375,
0.06103515625,
0.0771484375,
0.005462646484375,
0.05615234375,
-0.107421875,
-0.0869140625,
-0.034912109375,
0.031494140625,
0.057373046... | 13,707,254 | 13707254 | |
Modal analysis for a complex military trucks structure
Abstract
The artillery weapon system muzzle disturbance is influenced largely by the carrier vibration through firing. In case of military trucks carrying cannons, the longitudinal bending vibration is the
most important factor affects the muzzle disturbance. The ... | 4 | [
-0.01116943359375,
0.08447265625,
-0.0242919921875,
0.01116943359375,
-0.0191650390625,
-0.01202392578125,
-0.0086669921875,
0.1328125,
-0.0947265625,
-0.055908203125,
0.033203125,
0.027587890625,
0.08447265625,
-0.0322265625,
0.0177001953125,
-0.01348876953125,
0.021240234375,
0.0... | 13,707,255 | 13707255 | |
all
Lesson 5
Decimal Points in Products
Let’s look at products that are decimals.
5.1: Multiplying by 10
1. In which equation is the value of \(x\) the largest?
\(x \boldcdot 10 = 0.81\)
2. How many times the size of 0.81 is 810?
5.2: Fractionally Speaking: Powers of Ten
Work with a partner. One person so... | 4 | [
-0.011962890625,
0.021728515625,
-0.040283203125,
-0.10400390625,
-0.0517578125,
0.0218505859375,
0.07373046875,
0.04248046875,
-0.0220947265625,
0.01336669921875,
-0.01177978515625,
-0.057373046875,
0.07373046875,
0.09912109375,
0.0230712890625,
0.072265625,
0.01177978515625,
0.05... | 13,707,256 | 13707256 | |
Seven Scientists
BCM-Ch04.2: The Seven Scientists
BCM-Ch04.2: The Seven Scientists
BCM-Ch04.2: The Seven Scientists
Figure 22.9. Seven measurements {x(n)} of a parameter mu by seven scientists each having his own noise-level sigma(n).
David MacKay presents in his book 'Information Theory, Inference, and Learning A... | 4 | [
0.010986328125,
-0.06396484375,
0.08935546875,
-0.0054931640625,
-0.023681640625,
-0.0108642578125,
0.037841796875,
0.0361328125,
-0.035400390625,
0.022705078125,
-0.04638671875,
-0.087890625,
0.08740234375,
-0.06201171875,
-0.09423828125,
0.03515625,
-0.00006771087646484375,
-0.03... | 13,707,257 | 13707257 | |
Ma
Neural Networks - Introduction
In previous lectures, we have discussed evolutionary algorithms as a nature-inspired optimization technique. Now we will leave evolutionary algorithms aside for a moment and look at a technique
inspired by the workings of the nervous system - neural networks.
Neural networks are curr... | 4 | [
-0.11572265625,
-0.0458984375,
0.05322265625,
-0.008056640625,
-0.01055908203125,
0.0189208984375,
-0.0191650390625,
-0.07421875,
0.0054931640625,
-0.014404296875,
-0.0196533203125,
-0.0201416015625,
0.02490234375,
-0.018310546875,
-0.158203125,
0.03271484375,
-0.0074462890625,
0.0... | 13,707,258 | 13707258 | |
ocumentation
In order to avoid \(log(x) = -\infty\) for \(x=0\) in log-transformations there's often a constant added to the variable before taking the \(log\). This is not always a pleasable strategy. The
function LogSt handles this problem based on the following ideas:
• The modification should only affect the val... | 4 | [
-0.059814453125,
0.020751953125,
0.044921875,
-0.029541015625,
-0.00885009765625,
-0.111328125,
0.06494140625,
0.032958984375,
0.0478515625,
0.043701171875,
0.005859375,
-0.0020904541015625,
0.0010986328125,
0.03759765625,
-0.024169921875,
-0.022216796875,
-0.0019683837890625,
0.04... | 13,707,259 | 13707259 | |
Another Three Cones and a Sphere
In my previous post I solved a geometry problem involving
three cones and a sphere
. This time, I solve the same problem, with one small difference: the bottom of the sphere is above the elevation of the base of the cone. What is the sphere's radius,
R_sphere
, in terms of
h
and
... | 5 | [
0.0203857421875,
-0.0216064453125,
0.0027923583984375,
0.01055908203125,
0.02001953125,
-0.053466796875,
0.04052734375,
0.1259765625,
0.05419921875,
0.032958984375,
-0.05224609375,
-0.037353515625,
0.019287109375,
0.07763671875,
-0.01531982421875,
-0.0245361328125,
0.0027923583984375... | 13,707,260 | 13707260 | |
Antenna Modeling and Analysis
This example shows how to construct, visualize and analyze the antenna elements in the Antenna Toolbox.
Define Antenna Element Using the Antenna Library
Define a helix antenna using the helix antenna element in the Antenna Modeling and Analysis library.
hx =
helix with properties:
... | 5 | [
-0.0166015625,
0.031982421875,
-0.055908203125,
-0.06982421875,
-0.007171630859375,
0.020751953125,
-0.004913330078125,
0.1044921875,
-0.08056640625,
-0.018798828125,
0.03369140625,
0.06884765625,
0.080078125,
0.0042724609375,
-0.01171875,
-0.0302734375,
-0.0888671875,
-0.071289062... | 13,707,261 | 13707261 | |
Patterns in a Time-Fractional Predator–Prey System with Finite Interaction Range
Patterns in a Time-Fractional Predator–Prey System with Finite Interaction Range^ †
^1
Applied Mathematics and Systems Department, Universidad Autónoma Metropolitana-Cuajimalpa, Vasco de Quiroga 4871, Ciudad de México 05348, Mexico
^2
... | 4 | [
-0.04052734375,
-0.0223388671875,
0.03564453125,
0.0595703125,
0.03173828125,
0.00958251953125,
-0.07763671875,
-0.04150390625,
0.0238037109375,
0.033447265625,
0.03369140625,
-0.06689453125,
-0.00634765625,
0.0771484375,
-0.00118255615234375,
0.0281982421875,
0.025390625,
-0.03112... | 13,707,262 | 13707262 | |
gra
pkurtosis
(To be removed) Spectral kurtosis from signal or spectrogram
Description
sk = pkurtosis(x) returns the spectral kurtosis of vector x as the vector sk. pkurtosis uses normalized frequency (evenly spaced frequency vector spanning [0 π]) to compute the time values. pkurtosis
computes the spectrogram of x ... | 5 | [
0.0021209716796875,
-0.0517578125,
-0.10888671875,
-0.043212890625,
-0.016357421875,
-0.048095703125,
0.03466796875,
0.06396484375,
0.09033203125,
-0.039306640625,
0.0186767578125,
-0.0201416015625,
-0.0264892578125,
-0.0517578125,
0.020751953125,
-0.06982421875,
0.032958984375,
-0... | 13,707,263 | 13707263 | |
Stefan Boltzmann law
• The rate u[rad] at which an object emits energy via Electromagnetic radiation depends on objects surface area A
and temperature T in kelvin of that area and is given by
$u_{rad} = \sigma \epsilon AT^4$ ------(1)
Where
$\sigma = 5.6703 \times 10^{-8} W/m^2K^4 $
is Stefan Bol... | 4 | [
0.029052734375,
0.01019287109375,
-0.0023651123046875,
0.11962890625,
0.09521484375,
-0.049560546875,
0.023681640625,
0.05615234375,
0.0341796875,
-0.021240234375,
-0.0191650390625,
-0.09521484375,
0.042724609375,
-0.0322265625,
-0.0211181640625,
-0.0260009765625,
0.07861328125,
0.... | 13,707,264 | 13707264 | |
pytorch3d.renderer.fisheyecameras
pytorch3d.renderer.fisheyecameras
fisheyecameras
class pytorch3d.renderer.fisheyecameras.FishEyeCameras(focal_length=tensor([[1.]]), principal_point=tensor([[0., 0.]]), radial_params=tensor([[0., 0., 0., 0., 0., 0.]]), tangential_params=tensor
([[0., 0.]]), thin_prism_params=ten... | 4 | [
-0.017822265625,
-0.07568359375,
-0.0223388671875,
-0.059814453125,
0.0283203125,
-0.00830078125,
0.05078125,
0.0233154296875,
-0.0712890625,
-0.07666015625,
-0.006195068359375,
-0.08154296875,
-0.11279296875,
0.10498046875,
-0.006927490234375,
0.036376953125,
-0.0625,
-0.029418945... | 13,707,265 | 13707265 | |
The3Mathketeers
We should consider the information from both flights, put that information together, and then solve for the distance of the trip. We will take advantage of the relationship of distance, rate, and
time with the formula d = rt.
Let d be the distance of the one-way trip from Penthaven to Jackson, in mi... | 4 | [
0.0133056640625,
0.051025390625,
-0.034423828125,
0.024658203125,
-0.01458740234375,
-0.039306640625,
-0.03857421875,
0.031982421875,
-0.0030670166015625,
0.027587890625,
0.0498046875,
-0.11181640625,
-0.0123291015625,
0.038818359375,
0.0478515625,
0.0400390625,
-0.044189453125,
0.... | 13,707,266 | 13707266 | |
2
6.2 Projective Camera Models
One of the fundamental issues in 3D computer graphics is the 3D viewing problem: how to project a 3D scene onto a 2D image for display. Most of the classic approaches can be expressed by a projective
transformation matrix. Therefore, we will introduce a projection matrix camera class, Pr... | 4 | [
-0.11279296875,
0.00665283203125,
-0.06591796875,
-0.10107421875,
0.044189453125,
-0.0159912109375,
-0.0185546875,
0.043212890625,
0.019287109375,
0.043701171875,
0.0419921875,
-0.072265625,
-0.01531982421875,
0.04345703125,
-0.005767822265625,
-0.03173828125,
-0.024658203125,
0.03... | 13,707,267 | 13707267 | |
Tangent line calculator - Solumaths
The tangent line equation calculator is used to calculate the equation of tangent line to a curve at a given abscissa point with stages calculation.
Determine the equation of the tangent at a given point.
C is the graph of a differentiable function f at point a. The tangent to C at... | 4 | [
-0.083984375,
-0.030517578125,
-0.06494140625,
-0.017333984375,
0.027587890625,
0.00555419921875,
-0.0234375,
0.1171875,
0.033203125,
0.05517578125,
0.07666015625,
-0.08447265625,
0.03466796875,
-0.01263427734375,
-0.019775390625,
0.0341796875,
-0.169921875,
-0.0267333984375,
0.0... | 13,707,268 | 13707268 | |
A Combinatorial Identity Using Finite Fields
Achyut Bharadwaj
September 2022
Introduction #
Consider a prime $p$. For what integers $n$ does $p$ divide all of $$\binom{n}{1}, \binom n 2, \binom n 3, \dots, \binom{n}{n-1}?$$ Can we characterize all such $n$ given a value of $p$? It turns out
that this happens if and ... | 5 | [
-0.01513671875,
0.0252685546875,
-0.01019287109375,
0.030029296875,
0.08447265625,
-0.0255126953125,
0.11083984375,
-0.01055908203125,
0.0147705078125,
0.051513671875,
-0.0830078125,
0.06982421875,
0.0020751953125,
-0.0225830078125,
-0.00124359130859375,
0.0517578125,
-0.048828125,
... | 13,707,269 | 13707269 | |
Pole-
pzmap
Pole-zero map of dynamic system
Syntax
Description
[p,z] = pzmap(sys) returns the system poles and transmission zeros of the dynamic system model sys.
The following figure shows pole-zero maps for a continuous-time (left) and discrete-time (right) linear time-variant model.
• In continuous-time sys... | 4 | [
-0.038818359375,
0.0244140625,
-0.076171875,
0.01202392578125,
0.055419921875,
-0.0244140625,
0.044921875,
0.1025390625,
0.056640625,
0.04052734375,
0.10302734375,
0.0703125,
0.0262451171875,
-0.0032196044921875,
-0.00927734375,
-0.024658203125,
0.005279541015625,
-0.04638671875,
... | 13,707,270 | 13707270 | |
Amount of tanks
*Give someone a fish, and they can eat for a day. Teach them to fish and they will eat for a lifetime. *I’m going to answer the question I’m sure you meant to ask, which is “How do I determine how
many tanks to use based on my selected actuators (pistons) and their usage?”
First some background you nee... | 4 | [
-0.030517578125,
0.001068115234375,
-0.10302734375,
-0.0235595703125,
-0.08740234375,
-0.0125732421875,
0.05419921875,
0.068359375,
-0.0118408203125,
-0.0654296875,
-0.027587890625,
-0.0400390625,
0.0458984375,
0.012939453125,
-0.06689453125,
0.0130615234375,
0.0091552734375,
0.005... | 13,707,271 | 13707271 | |
Dimensions and Homogeneity
Consistency in equations means the units in formulae have to be the same on both sides. For example:
distance=speed*time
m=m/s*s=m so the units on both sides are the same
The equation distance=speed/time is not possible because the units on both sides are not the same.
distance=speed/time
m&l... | 4 | [
-0.01470947265625,
-0.0203857421875,
-0.002197265625,
0.08349609375,
-0.022216796875,
0.00927734375,
-0.072265625,
-0.03955078125,
0.023193359375,
-0.091796875,
0.07470703125,
-0.05615234375,
0.060791015625,
0.05859375,
-0.01953125,
-0.10107421875,
-0.04443359375,
0.10498046875,
... | 13,707,272 | 13707272 | |
Please Help, Thank YOU if you try :)
#1
+1
+1
24
2
A square and isosceles triangle of equal height are side-by-side, as shown, with both bases on the x-axis. The lower right vertex of the square and the lower left vertex of the triangle are at (10,
0). The side of the square and the base of the triangle on the x-a... | 4 | [
0.00518798828125,
0.068359375,
0.056884765625,
-0.048583984375,
-0.0035400390625,
-0.0185546875,
0.002227783203125,
0.10693359375,
-0.09814453125,
-0.0245361328125,
0.00738525390625,
-0.015625,
0.036865234375,
0.05859375,
0.01495361328125,
0.0341796875,
-0.0208740234375,
0.00628662... | 13,707,273 | 13707273 | |
Statistics
A Gentle Introduction
Fourth Edition
January 2020 | 536 pages | SAGE Publications, Inc
The Fourth Edition of Statistics: A Gentle Introduction shows students that an introductory statistics class doesn’t need to be difficult or dull. This text minimizes students’ anxieties about math
by explaining the co... | 5 | [
0.01953125,
-0.04052734375,
0.032470703125,
0.0458984375,
-0.033447265625,
-0.0023651123046875,
-0.051025390625,
0.1064453125,
0.08740234375,
0.10888671875,
0.0166015625,
0.01251220703125,
0.01019287109375,
-0.033203125,
-0.007049560546875,
0.0019683837890625,
0.0218505859375,
-0.0... | 13,707,274 | 13707274 | |
None
Click here to start/reset.
Paper 1
Question 1
Hint 1: know that equal roots means that the discriminant is equal to zero
Hint 2: identify the values of a, b and c from the equation
Hint 3: substitute values into the equation b² - 4ac = 0
Hint 4: simplify and solve for k
Hint 5: and here is a video of the so... | 4 | [
-0.08447265625,
-0.02001953125,
0.033203125,
0.006439208984375,
-0.0810546875,
0.041259765625,
0.02783203125,
0.02294921875,
-0.0322265625,
0.027099609375,
0.07568359375,
-0.056396484375,
0.03857421875,
0.0027923583984375,
-0.05810546875,
0.0732421875,
-0.064453125,
0.019287109375,... | 13,707,275 | 13707275 | |
Count data model
Objectives: learn how to implement a model for count data.
Projects: count1a_project, count1a_project, count1a_project, count2_project
Introduction
Longitudinal count data is a special type of longitudinal data that can take only nonnegative integer values {0, 1, 2, …} that come from counting some... | 4 | [
0.000766754150390625,
-0.0169677734375,
0.03466796875,
0.038818359375,
-0.046875,
0.0498046875,
0.0032501220703125,
0.06982421875,
0.11669921875,
-0.04150390625,
0.037109375,
0.0123291015625,
0.07666015625,
0.061767578125,
0.01385498046875,
0.0245361328125,
0.00103759765625,
-0.047... | 13,707,276 | 13707276 | |
TWOSAMPLEWILCOXON Statement
The TWOSAMPLEWILCOXON statement performs power and sample size analyses for the Wilcoxon-Mann-Whitney test (also called the Wilcoxon rank-sum test, Mann-Whitney-Wilcoxon test, or Mann-Whitney U test)
for two independent groups.
Note that the O’Brien-Castelloe approach to computing power f... | 4 | [
-0.0169677734375,
0.06396484375,
0.029052734375,
0.0654296875,
0.00689697265625,
-0.064453125,
-0.072265625,
0.06103515625,
0.01336669921875,
0.00165557861328125,
-0.0216064453125,
-0.0111083984375,
0.01202392578125,
-0.0216064453125,
0.0074462890625,
-0.02587890625,
0.0712890625,
... | 13,707,277 | 13707277 | |
d02agf (bvp_shoot_genpar_intern)
NAG FL Interface
d02agf (bvp_shoot_genpar_intern)
FL Name Style:
FL Specification Language:
1 Purpose
d02agf
solves a two-point boundary value problem for a system of ordinary differential equations, using initial value techniques and Newton iteration; it generalizes
d02... | 5 | [
-0.09521484375,
-0.019287109375,
-0.027099609375,
-0.018798828125,
0.007293701171875,
-0.041015625,
-0.01226806640625,
0.0810546875,
-0.06591796875,
-0.0303955078125,
-0.00189971923828125,
-0.07080078125,
0.00726318359375,
-0.00921630859375,
0.032958984375,
-0.038330078125,
-0.027099... | 13,707,278 | 13707278 | |
Time Series Analysis | THE DATA SCIENCE INTERVIEW BOOK
Reference: 📖Explanation
A time series is simply a series of data points ordered in time. In a time series, time is often the independent variable and the goal is usually to make a forecast for the future.
•
Moving Average: Here the assumption is that futu... | 4 | [
-0.11865234375,
-0.031494140625,
0.054443359375,
0.08154296875,
0.027587890625,
-0.07861328125,
0.024169921875,
-0.009033203125,
0.0703125,
-0.02392578125,
-0.0703125,
0.0103759765625,
-0.00799560546875,
-0.0262451171875,
-0.1103515625,
0.0021209716796875,
-0.0341796875,
-0.0466308... | 13,707,279 | 13707279 | |
Question 13.1:
Two stable isotopes of lithium and have respective abundances of 7.5% and 92.5%. These isotopes have masses 6.01512 u and 7.01600 u, respectively. Find the atomic mass of lithium.
Boron has two stable isotopes, and . Their respective masses are 10.01294 u and 11.00931 u, and the atomic mass of boron i... | 5 | [
-0.01397705078125,
0.0224609375,
-0.010498046875,
0.059326171875,
0.0400390625,
-0.02490234375,
0.09912109375,
0.0517578125,
-0.07421875,
-0.091796875,
0.07421875,
-0.1083984375,
0.0164794921875,
-0.06494140625,
0.04541015625,
0.04150390625,
-0.0257568359375,
-0.02392578125,
-0.0... | 13,707,280 | 13707280 | |
Test Prep
Multiple Choice
9.1 Work, Power, and the Work–Energy Theorem
1.
Which expression represents power?
a. $f d$
b. $m g h$
c. $m v 2 2$
d. $W t$
2.
The work–energy theorem states that the change in the kinetic energy of an object is equal to what?
a. The work done on the object
b. The force applied ... | 4 | [
-0.0223388671875,
0.111328125,
-0.025634765625,
0.01043701171875,
0.0091552734375,
0.034423828125,
-0.0115966796875,
0.04541015625,
0.0069580078125,
0.08544921875,
-0.00982666015625,
-0.05859375,
-0.00433349609375,
0.04541015625,
-0.0245361328125,
0.05859375,
-0.0076904296875,
0.02... | 13,707,281 | 13707281 | |
Stochastic dynamical systems
From Scholarpedia
Andre Longtin (2010), Scholarpedia, 5(4):1619. doi:10.4249/scholarpedia.1619 revision #124121 [link to/cite this article]
A stochastic dynamical system is a dynamical system subjected to the effects of noise. Such effects of fluctuations have been of interest for over ... | 4 | [
-0.0216064453125,
-0.11279296875,
0.02099609375,
0.068359375,
-0.02880859375,
-0.007476806640625,
0.06689453125,
-0.01348876953125,
0.0947265625,
-0.03271484375,
-0.0281982421875,
0.058837890625,
0.03076171875,
0.0008544921875,
-0.060546875,
-0.00823974609375,
0.0147705078125,
0.09... | 13,707,282 | 13707282 | |
RD Sharma Class 9 Solutions Chapter 19 Surface Areas and Volume of a Circular Cylinder VSAQS
These Solutions are part of RD Sharma Class 9 Solutions. Here we have given RD Sharma Class 9 Solutions Chapter 19 Surface Areas and Volume of a Circular Cylinder VSAQS
Other Exercises
Question 1.
Write the number of surface... | 4 | [
-0.027099609375,
0.031494140625,
-0.05517578125,
-0.045654296875,
0.0240478515625,
0.007781982421875,
-0.052734375,
0.123046875,
-0.04296875,
-0.057373046875,
-0.02685546875,
-0.07373046875,
0.07568359375,
0.0086669921875,
0.0439453125,
-0.0595703125,
-0.0791015625,
0.0177001953125... | 13,707,283 | 13707283 | |
How To Calculate Flexural Strength
Finding out how much force an object can tolerate before breaking comes in handy in many situations, especially for engineers. This has to be determined based on experimental results, which
essentially involve exposing the material to increasing amounts of force until it breaks or p... | 4 | [
0.0341796875,
-0.060791015625,
-0.04931640625,
-0.01214599609375,
0.0174560546875,
-0.050537109375,
-0.03515625,
0.11083984375,
-0.04248046875,
0.04443359375,
-0.0693359375,
-0.06396484375,
-0.0213623046875,
0.06787109375,
-0.0245361328125,
0.00118255615234375,
-0.01409912109375,
0... | 13,707,284 | 13707284 | |
MATLAB
gsvd
Generalized singular value decomposition
Description
[U,V,X,C,S] = gsvd(A,B) performs a generalized singular value decomposition of matrices A and B, and returns unitary matrices U and V, a matrix X, and nonnegative diagonal matrices C and S such that
A = U*C*X'
B = V*S*X'
C'*C + S'*S = I
[U,V,X,C,S] ... | 5 | [
-0.04296875,
-0.06494140625,
-0.053955078125,
-0.06201171875,
0.0224609375,
0.038330078125,
-0.031005859375,
-0.002532958984375,
-0.029296875,
0.041748046875,
0.017578125,
0.0196533203125,
0.000194549560546875,
-0.0208740234375,
-0.02392578125,
-0.008544921875,
-0.015380859375,
0.0... | 13,707,285 | 13707285 | |
Updated May 26, 2023
Coefficient of Determination Formula (Table of Contents)
What is the Coefficient of Determination Formula?
In statistics, the coefficient of determination, also termed R^2, determines and assesses a statistical model’s ability to explain and predict future outcomes. In other words, if we have t... | 5 | [
0.008544921875,
-0.01458740234375,
-0.041259765625,
0.08056640625,
0.06201171875,
0.09326171875,
-0.043701171875,
0.0517578125,
0.09716796875,
0.0439453125,
-0.0634765625,
0.0673828125,
0.0118408203125,
0.1484375,
0.00262451171875,
-0.035400390625,
0.00927734375,
0.03857421875,
-... | 13,707,286 | 13707286 | |
Models: finer interaction with Cobaya’s pipeline
Models: finer interaction with Cobaya’s pipeline
During the usual run, what Cobaya’s run() function does internally is using the information in the params, prior, likelihood and theory blocks to create a model.Model, and then have this model
interact with a sampler def... | 5 | [
-0.0242919921875,
-0.0654296875,
-0.0306396484375,
-0.055908203125,
-0.007080078125,
-0.08740234375,
-0.10009765625,
0.07373046875,
0.0009918212890625,
-0.042236328125,
0.060302734375,
0.002166748046875,
-0.03173828125,
-0.035888671875,
0.07568359375,
0.024169921875,
0.115234375,
-... | 13,707,287 | 13707287 | |
How do you find the exact relative maximum and minimum of the polynomial function of f(x)=x^3-3x+6? | Socratic
How do you find the exact relative maximum and minimum of the polynomial function of #f(x)=x^3-3x+6#?
1 Answer
Relative maximum: $8$ (at $- 1$) and relative minimum: $4$ (at $1$)
Explanation:
$f \left(x\ri... | 5 | [
0.0185546875,
-0.08935546875,
-0.07080078125,
-0.0274658203125,
-0.0240478515625,
0.0262451171875,
-0.02197265625,
0.07275390625,
0.04248046875,
0.0057373046875,
0.0380859375,
0.00982666015625,
0.062255859375,
-0.0169677734375,
0.0050048828125,
-0.06396484375,
0.0286865234375,
-0.0... | 13,707,288 | 13707288 | |
Changing the value of a parameter in the equations that produce the famous Lorenz chaotic attractor yields nonlinear ordinary differential equations that have periodic solutions.
Contents
The Lorenz equations
(This section is adapted from chapter 7 of my book
Numerical Computing with MATLAB
, published by MathWor... | 4 | [
-0.11865234375,
-0.06982421875,
0.022705078125,
0.000583648681640625,
-0.03076171875,
0.037353515625,
0.021240234375,
-0.031982421875,
0.0311279296875,
-0.01373291015625,
0.056640625,
0.017578125,
-0.0252685546875,
-0.056396484375,
0.0213623046875,
0.1298828125,
-0.091796875,
0.030... | 13,707,289 | 13707289 | |
Ho
James Round for Quanta Magazine
Introduction
Last month, we presented three puzzles that seemed ordinary enough but contained a numerical twist. Hidden below the surface was the mysterious transcendental number e. Most familiar as the base of
natural logarithms, Euler’s number e is a universal constant with an i... | 5 | [
-0.1240234375,
0.0137939453125,
0.026611328125,
0.01300048828125,
-0.00396728515625,
-0.03173828125,
0.050048828125,
0.06884765625,
0.09033203125,
0.040283203125,
0.00146484375,
-0.0172119140625,
-0.031494140625,
0.024169921875,
-0.0003566741943359375,
-0.09228515625,
-0.10693359375,... | 13,707,290 | 13707290 | |
How to Calculate P90 (or Pxx) PV Energy Yield Estimates
To assess the photovoltaic (PV) energy yield potential of a site, we run models using best available data and methods. The result of the modelling is the P50 estimate, or in other words, the “best
estimate”. P50 is essentially a statistical level of confidence sug... | 4 | [
-0.021728515625,
0.0439453125,
0.0286865234375,
0.02099609375,
0.0074462890625,
-0.06005859375,
0.03955078125,
0.1337890625,
0.0106201171875,
0.036865234375,
0.003021240234375,
-0.004547119140625,
0.0419921875,
0.0014190673828125,
0.020751953125,
-0.048828125,
0.0184326171875,
-0.0... | 13,707,291 | 13707291 | |
A Taxonomy of Some Basic Graphs
Naming Some Special Graphs
When we talk about graph theory - particularly when we get to some of the
interesting theorems - we end up referencing certain common graphs or type of graphs
by name. In my last post, I had to work in the definition of snark, and struggle around
to avoid ment... | 4 | [
-0.0108642578125,
-0.0654296875,
-0.0625,
-0.04736328125,
0.052734375,
-0.035888671875,
-0.032470703125,
0.01190185546875,
0.051025390625,
0.07568359375,
0.005645751953125,
-0.00360107421875,
0.05810546875,
0.033935546875,
-0.024658203125,
0.0224609375,
0.006683349609375,
-0.004241... | 13,707,292 | 13707292 | |
The Stacks project
Lemma 35.23.21. The property $\mathcal{P}(f) =$“$f$ is a quasi-compact immersion” is fpqc local on the base.
Proof. Let $f : X \to Y$ be a morphism of schemes. Let $\{ Y_ i \to Y\} $ be an fpqc covering. Write $X_ i = Y_ i \times _ Y X$ and $f_ i : X_ i \to Y_ i$ the base change of $f$. Also denote ... | 4 | [
-0.054443359375,
-0.004058837890625,
0.04345703125,
0.032958984375,
0.08642578125,
0.0498046875,
0.058837890625,
0.06689453125,
-0.0498046875,
0.0291748046875,
0.041259765625,
-0.0123291015625,
-0.052734375,
0.033447265625,
0.0380859375,
0.0400390625,
-0.0034637451171875,
-0.010253... | 13,707,293 | 13707293 | |
Re: st: interpret xtabond one-step results
[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]
Re: st: interpret xtabond one-step results
From "Mansour Farahani" <[email protected]>
To <[email protected]>
Subject Re: st: interpret xtabond one-step results
Date Fri, 10 Aug 2007 21:14:... | 4 | [
-0.1123046875,
-0.006622314453125,
0.0306396484375,
0.0050048828125,
0.052490234375,
-0.000751495361328125,
-0.01556396484375,
0.0224609375,
0.07373046875,
-0.010009765625,
-0.00579833984375,
-0.02099609375,
-0.080078125,
-0.10009765625,
-0.0101318359375,
-0.0040283203125,
-0.0607910... | 13,707,294 | 13707294 | |
Incidence
This article is still missing information.
Incidence is the rate of new cases or events over a specified period for the population at risk for the event. In medicine, the incidence is commonly the newly identified cases of a disease or
condition per population at risk over a specified timeframe. An example o... | 4 | [
0.07275390625,
-0.06494140625,
0.034912109375,
0.06591796875,
-0.0732421875,
0.047607421875,
-0.044189453125,
0.059814453125,
-0.0032958984375,
0.0228271484375,
0.0576171875,
-0.031494140625,
0.0034027099609375,
0.00164794921875,
-0.06640625,
0.005401611328125,
-0.01324462890625,
-... | 13,707,295 | 13707295 | |
Free Square Root Equation Calculator | Online Square Root Equation Calculator
Square Root Equation Calculator
Now, What Exactly Is A “Square Root Equation Calculator”?
A square root equation calculator is a tool that helps you find the value of a certain variable in a quadratic equation by taking the square root of b... | 4 | [
-0.035888671875,
-0.03076171875,
-0.035888671875,
0.0546875,
-0.059326171875,
0.0255126953125,
-0.15234375,
0.048583984375,
0.10498046875,
-0.00885009765625,
0.09423828125,
-0.03759765625,
0.031982421875,
0.004180908203125,
0.052734375,
0.1279296875,
-0.0810546875,
-0.020263671875,... | 13,707,296 | 13707296 | |
Count Digits in a Number - CodeKyro
Count Digits in a Number
In this article we will discuss four methods to count the digits in a given number. The codes provided will be in C++, but same logic can be used to implement in any other language.
Iterative Solution to Count Digits in a Number
This method uses division o... | 4 | [
-0.03857421875,
0.01007080078125,
-0.0986328125,
-0.06298828125,
-0.08447265625,
0.049072265625,
0.037109375,
0.087890625,
0.007781982421875,
-0.018798828125,
0.06591796875,
0.051513671875,
-0.01483154296875,
0.003387451171875,
-0.0908203125,
-0.05859375,
-0.11962890625,
0.03417968... | 13,707,297 | 13707297 | |
hapter
from __future__ import division
import cmath
import math
#Variable declaration:
Rrb = 10 #resistance of branch RB(ohm)
Rry = 20 #resistance of branch RY(ohm)
Rby = 5 #resistance of branch BY(ohm)
Er = cmath.rect(-100,0) #voltage across BY(... | 4 | [
-0.08349609375,
0.030517578125,
-0.0751953125,
0.0181884765625,
-0.020263671875,
-0.046875,
-0.0458984375,
0.1064453125,
-0.042236328125,
0.0169677734375,
0.017578125,
-0.08984375,
0.053955078125,
0.0296630859375,
0.0245361328125,
-0.001251220703125,
-0.134765625,
0.0654296875,
-... | 13,707,298 | 13707298 | |
Introduction to Cell and Molecular Biology Lab Guidebook (2024)
Introduction to molecular biology techniques and data analysis skills
Everyone who works in a biology laboratory must know how to make accurate dilutions – whether of chemicals or microbes. For example, a concentrated stock solution must be diluted prior ... | 4 | [
0.033203125,
-0.04345703125,
0.0162353515625,
-0.064453125,
-0.061279296875,
-0.134765625,
-0.0162353515625,
0.1259765625,
0.037353515625,
-0.009765625,
-0.019775390625,
-0.0830078125,
0.02880859375,
0.1123046875,
-0.1328125,
-0.02880859375,
-0.038330078125,
0.0810546875,
-0.1660... | 13,707,299 | 13707299 |