content string | quality_label int64 | meta string | all-MiniLM-L6-v2_embedding list | doc_id int64 | unique_id string |
|---|---|---|---|---|---|
Solutions to Exercise 18 and Exercise 33 Questions | BluPapers
Solutions to Exercise 18 and Exercise 33 Questions
$25.00
Solutions to Exercise 18 Questions
1. Mayland et al. (2014) do not provide the degrees of freedom (df) in their study. Use the degrees of freedom formulas provided at the beginning of this exercis... | 5 | [
0.08447265625,
0.08349609375,
0.036376953125,
-0.01300048828125,
0.005126953125,
0.08544921875,
-0.003204345703125,
0.059326171875,
0.025390625,
0.06787109375,
0.05810546875,
-0.06494140625,
-0.06787109375,
-0.0003509521484375,
-0.01177978515625,
-0.0498046875,
-0.01373291015625,
-... | 13,698,800 | 13698800 | |
Free Group Study Rooms with Timer & Music | FiveableCarrying Out a Chi-Square GoF Test | AP Stats Unit 8 Guide | Fiveable
Recall from the
previous section
that a
chi-square goodness of fit test
determines if an observed frequency distribution differs significantly from a theoretical expected distribution. It is use... | 4 | [
0.07373046875,
-0.00653076171875,
-0.01556396484375,
0.048583984375,
-0.025390625,
0.0771484375,
-0.04736328125,
0.007171630859375,
0.034912109375,
0.005401611328125,
0.0849609375,
-0.080078125,
0.00011110305786132812,
-0.024658203125,
0.04833984375,
-0.0966796875,
0.03955078125,
-... | 13,698,801 | 13698801 | |
Difference Between Heat and Temperature
– Heat is one form of energy.
– Many forms of energy can be interconverted and that in chemical processes, chemical energy is converted to heat energy or vice versa.
– The amount of heat a process uses (endothermic) or gives off (exothermic) can tell us a great deal about tha... | 4 | [
0.006500244140625,
-0.02099609375,
-0.06689453125,
0.076171875,
0.05908203125,
-0.046875,
0.047607421875,
0.01611328125,
0.06884765625,
0.0179443359375,
-0.083984375,
-0.11669921875,
-0.0024261474609375,
0.0027618408203125,
0.060546875,
-0.10595703125,
0.0791015625,
0.0234375,
-0... | 13,698,802 | 13698802 | |
Cube Calculator- Volume, Area and Diagonal of a Cube
Cube Calculator
Input the length and press calculate button to find the cube
Cube Calculator
Cube calculator is used to calculate the volume of the cubic shape by using the length of the one side with any specific unit. It also finds the surface area of the cube a... | 4 | [
0.055908203125,
-0.044677734375,
-0.08349609375,
-0.04296875,
-0.055908203125,
-0.0076904296875,
-0.0908203125,
0.03564453125,
0.054443359375,
-0.00982666015625,
-0.03271484375,
-0.0296630859375,
0.0028228759765625,
0.00121307373046875,
0.056640625,
-0.00433349609375,
-0.10986328125,... | 13,698,803 | 13698803 | |
Maths in Lean: Topological, uniform and metric spaces
Maths in Lean: Topological, uniform and metric spaces #
The TopologicalSpace typeclass is defined in mathlib, in Mathlib.Topology.Defs.Basic. There a lot of lines of code in topology,covering the basics of topological spaces, continuous functions,
topological group... | 4 | [
-0.021728515625,
-0.0546875,
-0.02587890625,
-0.01239013671875,
0.0096435546875,
0.01202392578125,
0.01129150390625,
-0.021484375,
0.06396484375,
-0.051513671875,
-0.07373046875,
0.00457763671875,
0.0157470703125,
-0.048828125,
0.05810546875,
-0.0732421875,
-0.009765625,
-0.0285644... | 13,698,804 | 13698804 | |
8.3 A Population Proportion
Introduction
Introduction
During an election year, we see articles in the newspaper that state confidence intervals in terms of proportions or percentages. For example, a poll for a particular candidate running for president
might show that the candidate has 40 percent of the vote within 3... | 5 | [
0.0301513671875,
-0.0419921875,
0.00799560546875,
0.04541015625,
0.0123291015625,
0.022705078125,
0.00701904296875,
0.043212890625,
0.04638671875,
-0.01312255859375,
-0.0169677734375,
-0.01220703125,
0.06103515625,
-0.10595703125,
0.045654296875,
-0.045654296875,
0.059814453125,
-0... | 13,698,805 | 13698805 | |
Introduction
Our Approach
Results
Conclusions
Learning Generalized Plans
Using Abstract Counting
Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein
Twenty Third Conference on Artificial Intelligence
17th July, 2008
Introduction
Our Approach
Results
Conclusions
Overview
Introduction
Our Approach
Abstraction Mechan... | 4 | [
-0.0159912109375,
0.0419921875,
-0.0242919921875,
-0.01336669921875,
-0.0205078125,
-0.0263671875,
0.028076171875,
0.017333984375,
-0.06640625,
-0.0086669921875,
-0.03271484375,
0.0284423828125,
0.0595703125,
0.060546875,
-0.0125732421875,
0.047607421875,
-0.0125732421875,
0.009155... | 13,698,806 | 13698806 | |
What is the derivative of f(x)=(1/x+lnx)^2? | Socratic
What is the derivative of #f(x)=(1/x+lnx)^2#?
1 Answer
Explanation:
Chain rule states that $\frac{\mathrm{dy}}{\mathrm{dx}} = \frac{\mathrm{dy}}{\mathrm{du}} \frac{\mathrm{du}}{\mathrm{dx}}$ and is used when it is not possible to directly derivate the function w... | 5 | [
-0.003173828125,
-0.00159454345703125,
0.12158203125,
0.0224609375,
0.0517578125,
-0.05712890625,
0.00830078125,
-0.0272216796875,
0.0308837890625,
0.03759765625,
0.09326171875,
0.05517578125,
0.033447265625,
0.038330078125,
-0.0283203125,
0.01171875,
-0.02685546875,
-0.0751953125,... | 13,698,807 | 13698807 | |
Solve : √3x 2 – 2√2x – 2√3 = 0
Using splitting middle term, the middle term of the general equation is divided in two such values that:
Product = a.c
For the given equation
using
=
And either of their sum or difference = b
=
Thus the two terms are
Difference =
Product = = - 6
√3 x(x-√6) + √2(x-√6) = 0
(√3 x ... | 4 | [
-0.046630859375,
-0.02587890625,
-0.0189208984375,
-0.0257568359375,
-0.048583984375,
0.083984375,
-0.029052734375,
0.02978515625,
0.00494384765625,
-0.0030517578125,
0.0279541015625,
-0.0269775390625,
0.00994873046875,
-0.03955078125,
0.0859375,
0.095703125,
-0.107421875,
0.007080... | 13,698,808 | 13698808 | |
Codebase64 wiki
base:multiplication_and_division
Table of Contents
Multiplication
The multiplication of two numbers can be done in various forms. The most common methods are “adding in a loop”, bit-shifting, table-based routines and using the floatingpoint-routines in the
c64-kernal. Which one is the best depends on... | 4 | [
-0.016845703125,
0.047119140625,
-0.09326171875,
-0.0693359375,
-0.1201171875,
-0.0625,
0.00726318359375,
0.06103515625,
-0.06689453125,
-0.0019989013671875,
0.00139617919921875,
-0.020263671875,
0.0322265625,
-0.0079345703125,
-0.01324462890625,
0.054931640625,
-0.109375,
0.166992... | 13,698,809 | 13698809 | |
TN Board 12th Economics Important Questions Chapter 12 Introduction to Statistical Methods and Econometrics
Students get through the TN Board 12th Economics Important Questions Chapter 12 Introduction to Statistical Methods and Econometrics which is useful for their exam preparation.
TN State Board 12th Economics Impo... | 4 | [
-0.0024261474609375,
0.0274658203125,
0.0947265625,
-0.00168609619140625,
-0.0595703125,
-0.0025482177734375,
0.0311279296875,
0.087890625,
-0.0201416015625,
0.026611328125,
0.09228515625,
0.0498046875,
0.059814453125,
-0.09326171875,
-0.04150390625,
-0.052734375,
0.0498046875,
-0.... | 13,698,810 | 13698810 | |
If each edge of a cube is doubled. How many times will its surface area increase? How many times will volume increase?
Hint: Let any variable be the side of the cube and the surface area and volume of the cube is 6 times side square and side cube respectively so use these concepts to reach the solution of the
question.... | 4 | [
0.0634765625,
-0.0123291015625,
-0.0264892578125,
-0.017578125,
-0.08349609375,
0.014404296875,
-0.015625,
0.011474609375,
-0.007232666015625,
-0.0186767578125,
-0.05712890625,
0.03759765625,
-0.00049591064453125,
0.048828125,
0.0400390625,
0.021240234375,
-0.0380859375,
0.09716796... | 13,698,811 | 13698811 | |
Posit AI Blog: Experimenting with autoregressive flows in TensorFlow Probability
In the first part of this mini-series on autoregressive flow models, we looked at bijectors in TensorFlow Probability (TFP), and saw how to use them for sampling and density estimation. We singled
out the affine bijector to demonstrate the... | 4 | [
-0.06787109375,
-0.09521484375,
0.049560546875,
-0.02099609375,
0.039306640625,
-0.044189453125,
0.038330078125,
-0.046142578125,
0.09033203125,
-0.020263671875,
-0.0303955078125,
-0.0419921875,
-0.035888671875,
0.05078125,
-0.07177734375,
-0.014404296875,
0.035400390625,
0.0668945... | 13,698,812 | 13698812 | |
17. Mechanism Dynamics
• Basically, things in motion required forces to accelerate to a velocity, and will apply forces to other objects as they slow down.
• Some basic topics to review,
• The basic topics of statics that should be well understood are,
free body diagrams/rigid body assumption
moment components in... | 4 | [
-0.039794921875,
-0.056396484375,
-0.02783203125,
-0.01068115234375,
-0.0126953125,
0.00439453125,
0.0086669921875,
0.054443359375,
0.0301513671875,
0.09814453125,
0.0625,
0.0059814453125,
-0.031494140625,
-0.0213623046875,
-0.1103515625,
0.1064453125,
-0.0419921875,
0.043212890625... | 13,698,813 | 13698813 | |
None
Solve to find s in terms of t. P=10=4s+3t s=(10-3t)/(4) Total area, A= area of square, s^(2), plus area of equilateral triangle, half * base (t) * height (t sin 60) A=s^(2)+(1)/(2)*t*((sqrt(3))/(2)t)
Substitute value of s found in step 1 A=((10-3t)/(4))^(2)+(sqrt(3))/(4)t^(2) Differentiate (dA)/(dt)=-30+9t+4sqrt(3... | 5 | [
-0.00909423828125,
0.0830078125,
-0.017333984375,
-0.0439453125,
-0.028564453125,
0.0306396484375,
-0.0458984375,
0.1591796875,
-0.01141357421875,
0.032958984375,
0.051513671875,
-0.03515625,
0.07080078125,
0.07373046875,
0.007110595703125,
0.0022125244140625,
-0.01153564453125,
0.... | 13,698,814 | 13698814 | |
Schedule Optimization Problem trying to present the solution in a better way - Python / Gekko
Optimizing Your Schedule: A Practical Guide with Python and Gekko
Imagine you're tasked with creating the perfect schedule for a busy team, juggling multiple projects with varying deadlines and resource constraints. This is a... | 5 | [
-0.08740234375,
0.056640625,
0.0157470703125,
0.0277099609375,
0.006683349609375,
-0.11376953125,
-0.055419921875,
-0.0145263671875,
-0.09033203125,
-0.0184326171875,
-0.08544921875,
-0.040771484375,
0.0135498046875,
0.11181640625,
-0.0022735595703125,
0.04541015625,
-0.048583984375,... | 13,698,815 | 13698815 | |
1. Recognize phenomena and applications of vibration in practice.
2. Model a vibrating system with mass, spring and damper elements.
3. Understand the concept of amplitude, frequency and phase.
1.4 Amplitude, frequency and phase
When we discuss about vibration, we are talking about a motion which fluctuates aro... | 5 | [
0.0152587890625,
0.000148773193359375,
0.016357421875,
-0.0556640625,
-0.10302734375,
0.0004787445068359375,
-0.017578125,
0.029541015625,
0.0150146484375,
-0.012939453125,
0.03662109375,
-0.00150299072265625,
0.04833984375,
-0.058349609375,
0.057861328125,
0.004486083984375,
0.09277... | 13,698,816 | 13698816 | |
Mackey-Glass equation
From Scholarpedia
Leon Glass and Michael Mackey (2010), Scholarpedia, 5(3):6908. doi:10.4249/scholarpedia.6908 revision #186443 [link to/cite this article]
The Mackey-Glass equation is the nonlinear time delay differential equation \[\tag{1} \frac{dx}{dt} = \beta \frac{ x_{\tau} }{1+{x_{\tau}}... | 4 | [
-0.12890625,
-0.0517578125,
0.0498046875,
0.05517578125,
-0.0017547607421875,
-0.0216064453125,
0.09423828125,
-0.0233154296875,
0.0634765625,
-0.060791015625,
-0.01336669921875,
-0.0267333984375,
-0.00897216796875,
0.0225830078125,
-0.0380859375,
0.043701171875,
0.006103515625,
-0... | 13,698,817 | 13698817 | |
How To Calculate Eigenvectors
Things Needed
• Calculator
• Introductory linear algebra text
It is sometimes necessary to find a nonzero vector that, when multiplied by a square matrix, will give us back a multiple of the vector. This nonzero vector is called an "eigenvector." Eigenvectors
are not only of intere... | 5 | [
-0.0045166015625,
-0.03662109375,
-0.01708984375,
-0.0322265625,
-0.00762939453125,
0.01177978515625,
-0.0234375,
-0.06787109375,
-0.01287841796875,
0.0213623046875,
0.1298828125,
0.00286865234375,
0.021728515625,
-0.0220947265625,
-0.047119140625,
0.03271484375,
-0.068359375,
0.01... | 13,698,818 | 13698818 | |
Eclipse Qrisp
Channelled Constrained Mixers#
This tutorial will teach you how to build and utilize channelled constrained mixers for QAOA. These mixers are a novel concept, introduced with Qrisp 0.3. A scientific publication will follow in the
near future.
Constraints in QAOA#
Real-world applications of combinatoria... | 4 | [
0.0242919921875,
0.044921875,
-0.025390625,
-0.0634765625,
-0.052490234375,
0.0712890625,
0.0712890625,
-0.0189208984375,
-0.0025482177734375,
0.03759765625,
0.0274658203125,
-0.042236328125,
0.037841796875,
-0.036376953125,
-0.0556640625,
0.08984375,
0.08544921875,
0.0147094726562... | 13,698,819 | 13698819 | |
Science:Math Exam Resources/Courses/MATH101/April 2013/Question 01 (c)
MATH101 April 2013
• Q1 (a) • Q1 (b) • Q1 (c) • Q2 (a) • Q2 (b) • Q2 (c) • Q3 (a) • Q3 (b) • Q3 (c) • Q4 (a) • Q4 (b) • Q5 (a) • Q5 (b) • Q6 (a) • Q6 (b) • Q7 (a) • Q7 (b) • Q8 • Q9 (a) • Q9 (b) • Q10 (a) • Q10 (b) •
Q11 • Q12 (a) • Q12 (b) • Q12 ... | 5 | [
0.0177001953125,
0.150390625,
0.061767578125,
-0.04541015625,
-0.06689453125,
0.058837890625,
-0.0037689208984375,
0.0260009765625,
-0.050537109375,
0.0289306640625,
-0.07763671875,
-0.0830078125,
0.00762939453125,
0.0498046875,
-0.059326171875,
0.028564453125,
-0.058349609375,
0.0... | 13,698,820 | 13698820 | |
Volume of a Prism - Formula, Derivation, Definition, Examples - Grade Potential Houston, TX
Volume of a Prism - Formula, Derivation, Definition, Examples
A prism is a vital shape in geometry. The figure’s name is derived from the fact that it is created by taking a polygonal base and expanding its sides as far as it c... | 4 | [
-0.0361328125,
-0.00665283203125,
0.0010223388671875,
-0.032958984375,
-0.0732421875,
-0.019775390625,
-0.01422119140625,
0.08837890625,
0.021484375,
0.01513671875,
-0.0908203125,
-0.042236328125,
0.04638671875,
0.07373046875,
0.00799560546875,
-0.0830078125,
-0.05908203125,
0.0011... | 13,698,821 | 13698821 | |
Code Golf: Challenge 1
Welcome to my first post about code golf! I am still working on SimX, but was recently challenged to do a code golf challenge in my computer science class covering Python.
As I write this post and its updates the code golf contest is ongoing, so this is published a week after I finished working ... | 5 | [
-0.020263671875,
0.0157470703125,
-0.01544189453125,
-0.059326171875,
-0.043212890625,
0.061279296875,
0.03515625,
0.0059814453125,
-0.11962890625,
0.02685546875,
0.0242919921875,
-0.0986328125,
0.0634765625,
0.029541015625,
0.0030670166015625,
0.01708984375,
-0.0111083984375,
-0.0... | 13,698,822 | 13698822 | |
ation
Conventions
States and Bases
Bases
A basis refers to a set of two eigenstates. The transition between these two states is said to be addressed by a channel that targets that basis. Namely:
Basis Eigenstates Channel type
ground-rydberg \(|g\rangle,~|r\rangle\) Rydberg
digital ... | 4 | [
-0.02099609375,
-0.042236328125,
-0.09033203125,
-0.03955078125,
-0.036376953125,
0.01708984375,
0.06494140625,
0.0108642578125,
0.032958984375,
-0.037353515625,
-0.0712890625,
-0.032958984375,
0.023193359375,
0.0133056640625,
0.033935546875,
-0.0439453125,
-0.03759765625,
-0.08544... | 13,698,823 | 13698823 | |
Giry monad
Context
Measure and probability theory
Measure theory
Probability theory
Information geometry
Thermodynamics
Theorems
Applications
Contents
Idea
The Giry monad (Giry 80, following Lawvere 62) is the monad on a category of suitable spaces which sends each suitable space $X$ to the space of suitable ... | 4 | [
-0.05859375,
-0.08984375,
-0.031494140625,
-0.046875,
-0.034423828125,
-0.007080078125,
0.1259765625,
-0.0238037109375,
0.045654296875,
-0.046630859375,
0.026123046875,
-0.0576171875,
0.027099609375,
0.0341796875,
0.002166748046875,
-0.08154296875,
0.054443359375,
0.051513671875,
... | 13,698,824 | 13698824 | |
Theorem 1 on circles and tangents
The tangent at any point of a circle is perpendicular to the radius through the point of contact.
Consider a circle with centre \(O\).
Let \(AB\) be the tangent to the circle at the point \(P\).
To prove:
The line \(OP\) is perpendicular to \(AB\).
Proof:
Take a point \(Q\) other... | 4 | [
-0.0859375,
0.0654296875,
0.02392578125,
0.00616455078125,
-0.033935546875,
0.033935546875,
0.08837890625,
0.06884765625,
0.09814453125,
-0.0024261474609375,
0.012451171875,
-0.003662109375,
0.04638671875,
0.0390625,
0.002960205078125,
0.0634765625,
-0.0230712890625,
0.02880859375,... | 13,698,825 | 13698825 | |
Graphs of the Secant and Cosecant Functions
Day 6 - Graphs of the Secant and Cosecant Functions
by Shannon Umberger
Introduction
Objectives: To determine... | 4 | [
0.004669189453125,
0.004486083984375,
-0.00110626220703125,
-0.0517578125,
-0.07470703125,
-0.0181884765625,
-0.0205078125,
0.04248046875,
0.00262451171875,
-0.007354736328125,
0.06884765625,
-0.07470703125,
-0.00885009765625,
0.04833984375,
0.06884765625,
-0.015869140625,
-0.0854492... | 13,698,826 | 13698826 | |
Review
NIPS 2017
Mon Dec 4th through Sat the 9th, 2017 at Long Beach Convention Center
Reviewer 1
The authors provide an algorithm which learns a provably accurate low-rank approximation to a PSD matrix in sublinear time. Specifically, it learns an approximation that has low additive error with
high probability by sa... | 4 | [
-0.0390625,
-0.0419921875,
-0.0634765625,
-0.00390625,
0.0177001953125,
-0.052490234375,
-0.03076171875,
0.0478515625,
0.00238037109375,
0.05126953125,
-0.061767578125,
0.09716796875,
-0.004058837890625,
-0.035400390625,
-0.08984375,
0.0184326171875,
0.052978515625,
0.044189453125,... | 13,698,827 | 13698827 | |
Reconstruction
Authors
Pierre Alliez, Laurent Saboret, Gaël Guennebaud
Introduction
This CGAL component implements a surface reconstruction method which takes as input point sets with oriented normals and computes an implicit function. We assume that the input points contain no
outliers and little noise. The outp... | 4 | [
-0.09130859375,
0.0595703125,
0.0478515625,
-0.0830078125,
-0.00372314453125,
-0.06005859375,
-0.00982666015625,
-0.018798828125,
0.0123291015625,
-0.033447265625,
-0.0400390625,
-0.0167236328125,
-0.0289306640625,
0.029052734375,
0.037841796875,
-0.08251953125,
-0.027587890625,
0.... | 13,698,828 | 13698828 | |
Percentage Formula Shortcut Tricks with Questions & Answers
Percentage questions are asked in many competitive examination including all of SSC, IBPS, class 5, class 6, class 7, class 8, class 9, class 10 etc. exams. Sometimes it is very time consuming to
solve percentage questions. To score more in competitive exams ... | 4 | [
0.01385498046875,
0.047607421875,
-0.02490234375,
-0.007781982421875,
0.00124359130859375,
0.027587890625,
0.0322265625,
0.07568359375,
-0.026611328125,
0.0458984375,
0.006378173828125,
-0.11767578125,
0.00872802734375,
0.054443359375,
0.06298828125,
0.07470703125,
-0.000115394592285... | 13,698,829 | 13698829 | |
My first mathematical discussion with ChatGPT-4
Zurab Janelidze March 17, 2023 No comments
Model: GPT-4
18 March 2022
Prove that 2^n is bigger than n, for every natural number n.
To prove that 2^n is greater than n for every natural number n, we can use mathematical induction. Mathematical induction is a techniqu... | 5 | [
-0.05859375,
0.033935546875,
0.0771484375,
0.025146484375,
0.05712890625,
-0.048828125,
-0.043212890625,
0.107421875,
0.0390625,
0.07177734375,
-0.142578125,
-0.00933837890625,
0.039306640625,
-0.029296875,
0.032470703125,
0.07177734375,
-0.042236328125,
0.04638671875,
-0.0190429... | 13,698,830 | 13698830 | |
A Network Traffic Prediction Algorithm Based on Prophet-EALSTM-GPR
1 School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China
2 Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology (CICAEET), Nanjing University of Informati... | 4 | [
-0.046875,
-0.0235595703125,
0.01507568359375,
0.032958984375,
0.044677734375,
-0.03466796875,
0.040771484375,
0.03076171875,
-0.0107421875,
0.043701171875,
-0.09521484375,
-0.025634765625,
0.00004696846008300781,
-0.039794921875,
0.004241943359375,
0.031982421875,
0.045654296875,
... | 13,698,831 | 13698831 | |
Spectral envelope normalization (speech processing)
Dear forum,
I created a synthetic speech signal x[n] of 256 samples assuming that the source signal u[n] is an impulse train (not a glottal flow signal) and also I assumed that there are no lips. The vocal tract
filter h[n] is an all pole filter of order 10. So, in f... | 4 | [
-0.025146484375,
-0.0235595703125,
-0.054443359375,
-0.061767578125,
-0.04443359375,
0.0230712890625,
-0.001922607421875,
-0.06494140625,
-0.04052734375,
-0.0341796875,
0.033447265625,
-0.05224609375,
-0.00640869140625,
-0.06396484375,
-0.02685546875,
-0.04248046875,
0.0177001953125,... | 13,698,832 | 13698832 | |
span of vectors over an extension field but with coefficients from the base field
span of vectors over an extension field but with coefficients from the base field
Hi all,
Assume I have a vector space with coefficients from a finite extension field. How can I make the sub space spanned by vectors over that extension... | 5 | [
-0.04638671875,
-0.0038604736328125,
-0.01373291015625,
0.031982421875,
0.06982421875,
-0.021240234375,
-0.0157470703125,
0.0130615234375,
-0.03662109375,
-0.0213623046875,
-0.048583984375,
0.00799560546875,
-0.034912109375,
-0.037353515625,
0.03271484375,
0.04541015625,
-0.127929687... | 13,698,833 | 13698833 | |
A corner store sells two kinds of baked goods: cakes and pies. A cake costs $14 and a pie costs $8. In one day, the store sold 12 baked goods for a total of $144. Tell me how many cakes did they sell
garnirativ8
Answered question
2022-10-07
A corner store sells two kinds of baked goods: cakes and pies. A cake cost... | 4 | [
0.05029296875,
0.1376953125,
-0.020263671875,
0.0205078125,
-0.10595703125,
0.05029296875,
0.07373046875,
-0.01104736328125,
-0.0208740234375,
0.00360107421875,
0.0810546875,
-0.03662109375,
0.0274658203125,
0.0032501220703125,
0.0260009765625,
-0.04541015625,
-0.00701904296875,
-0... | 13,698,834 | 13698834 | |
Implement Hardware-Efficient Real Burst Matrix Solve Using Q-less QR Decomposition with Tikhonov Regularization
This example shows how to use the Real Burst Matrix Solve Using QR Decomposition block to solve the regularized least-squares matrix equation
where A is an m-by-n matrix with m n, B is n-by-p, X is n-by-p, ... | 5 | [
-0.04443359375,
0.0263671875,
-0.05029296875,
-0.053955078125,
-0.03515625,
0.016357421875,
0.00628662109375,
-0.02197265625,
-0.01611328125,
0.0361328125,
0.017333984375,
0.0654296875,
0.041748046875,
0.0108642578125,
-0.0654296875,
0.04443359375,
0.00799560546875,
0.009033203125,... | 13,698,835 | 13698835 | |
Earth Radius by Latitude (WGS 84)
This online calculator calculates Earth radius at given latitude using WGS 84 reference ellipsoid
The calculator below calculates Earth radius at a given latitude. In fact, of course, it calculates the radius of WGS 84 reference ellipsoid at a given latitude, and if you want some the... | 4 | [
0.0269775390625,
-0.00726318359375,
-0.005523681640625,
-0.039306640625,
0.022216796875,
-0.07421875,
-0.0201416015625,
0.08544921875,
0.06494140625,
-0.0654296875,
0.01239013671875,
-0.0299072265625,
-0.0184326171875,
0.026611328125,
0.04443359375,
-0.091796875,
-0.064453125,
0.02... | 13,698,836 | 13698836 | |
Performance of derivatives of Ensemble problem
Hi everyone,
I’m working on simulating trajectories of a Geometric Brownian Motion (GBM) and calculating sensitivities using automatic differentiation. I’m comparing two approaches:
1. Custom GBM implementation where I directly simulate the solution.
2. Using Different... | 4 | [
-0.0810546875,
-0.130859375,
0.047607421875,
0.047607421875,
0.00860595703125,
-0.0712890625,
-0.08056640625,
0.050537109375,
0.027099609375,
-0.00128936767578125,
-0.06787109375,
-0.019775390625,
0.021728515625,
-0.099609375,
0.011474609375,
0.014404296875,
0.0361328125,
0.0378417... | 13,698,837 | 13698837 | |
Marginal Effects for Model Objects
The margins and prediction packages are a combined effort to port the functionality of Stata’s (closed source) margins command to (open source) R. These tools provide ways of obtaining common
quantities of interest from regression-type models. margins provides “marginal effects” summa... | 5 | [
-0.03173828125,
-0.0299072265625,
-0.03759765625,
0.07177734375,
0.08544921875,
0.04541015625,
-0.08447265625,
0.09228515625,
0.09619140625,
0.0654296875,
0.035888671875,
0.044921875,
0.0213623046875,
-0.00518798828125,
0.0245361328125,
-0.05712890625,
0.052978515625,
0.03015136718... | 13,698,838 | 13698838 | |
MultinomCI
# Multinomial distribution with 3 classes, from which a sample of 79 elements
# were drawn: 23 of them belong to the first class, 12 to the
# second class and 44 to the third class. Punctual estimations
# of the probabilities from this sample would be 23/79, 12/79
# and 44/79 but we want to build 95% simulta... | 4 | [
-0.01300048828125,
0.0206298828125,
-0.0020599365234375,
-0.05029296875,
-0.0712890625,
-0.061279296875,
-0.032470703125,
0.06494140625,
-0.012939453125,
-0.0498046875,
-0.0140380859375,
-0.111328125,
0.095703125,
-0.08984375,
0.0693359375,
-0.052734375,
-0.018798828125,
0.03247070... | 13,698,839 | 13698839 | |
Part IB, 2014, Paper 2
Jump to course
Analysis II
•
Define what is meant by a uniformly continuous function on a set $E \subset \mathbb{R}$.
If $f$ and $g$ are uniformly continuous functions on $\mathbb{R}$, is the (pointwise) product $f g$ necessarily uniformly continuous on $\mathbb{R}$ ?
Is a... | 4 | [
-0.0634765625,
0.007659912109375,
-0.043212890625,
-0.076171875,
0.033935546875,
0.04248046875,
0.16796875,
-0.02099609375,
-0.07177734375,
-0.0018157958984375,
0.007598876953125,
0.08740234375,
0.04931640625,
-0.06494140625,
0.0020599365234375,
-0.07177734375,
0.087890625,
-0.0932... | 13,698,840 | 13698840 | |
Simplifying Numerical Expressions Using Properties of Conjugates of Irrational Numbers
Question Video: Simplifying Numerical Expressions Using Properties of Conjugates of Irrational Numbers Mathematics • Second Year of Preparatory School
Simplify (12√5 − 23)/13√5 by rationalizing the denominator.
Video Transcript
Si... | 4 | [
-0.01373291015625,
0.078125,
0.00982666015625,
-0.00177001953125,
-0.042236328125,
-0.034912109375,
-0.052490234375,
0.0211181640625,
0.029296875,
0.00408935546875,
0.0166015625,
0.0380859375,
0.051025390625,
0.0537109375,
-0.004486083984375,
-0.01446533203125,
-0.0830078125,
0.088... | 13,698,841 | 13698841 | |
Figure 3.1 -ve goal attarcts +ve robot
A potential function can be constructed as a sum of attractive and repulsive potenials.
$U(q) = U_{att}(q) + U_{rep}(q)... | 4 | [
-0.05615234375,
0.005218505859375,
0.008544921875,
-0.044921875,
0.0228271484375,
0.0751953125,
-0.0140380859375,
0.10302734375,
-0.03857421875,
0.0238037109375,
0.0341796875,
0.00848388671875,
0.07470703125,
-0.01361083984375,
-0.0162353515625,
0.04345703125,
-0.0027618408203125,
... | 13,698,842 | 13698842 | |
Egyptian.html
One begins to wonder if...
Playing with more examples will make one wonder if one always gets a final representation , and one comes to realise that one particular approach (the ' greedy ' approach, first noted evidently by
Fibonacci, 1202AD) stands out: something rather special and fruitful happens if o... | 5 | [
-0.1416015625,
0.07666015625,
0.00640869140625,
-0.033203125,
0.005462646484375,
-0.0296630859375,
-0.06005859375,
-0.0152587890625,
0.0712890625,
0.061279296875,
-0.0634765625,
-0.041748046875,
0.06298828125,
0.048095703125,
0.012451171875,
-0.0703125,
0.0169677734375,
0.052246093... | 13,698,843 | 13698843 | |
TAKANEN2013_ONSETENHANCEMENT - Emphasize the onsets on direction analysis
function [thetaOut energyOut]= takanen2013_onsetenhancement(thetaIn,energyIn,fs,cfs)
%TAKANEN2013_ONSETENHANCEMENT Emphasize the onsets on direction analysis
% Usage: [thetaOut energyOut]=takanen2013_onsetenhancement(thetaIn,energyIn,fs);
%
% ... | 4 | [
0.05029296875,
-0.10009765625,
0.049072265625,
-0.0181884765625,
0.0169677734375,
0.052734375,
0.00836181640625,
0.032470703125,
0.08544921875,
-0.0269775390625,
0.0042724609375,
-0.0693359375,
-0.0201416015625,
0.00457763671875,
-0.0203857421875,
-0.049560546875,
0.04052734375,
0.... | 13,698,844 | 13698844 | |
Reference
Go to the first, previous, next, last section, table of contents.
This chapter describes the statistical functions in the library. The basic statistical functions include routines to compute the mean, variance and standard deviation. More advanced functions allow
you to calculate absolute deviations, ske... | 5 | [
-0.10791015625,
-0.0478515625,
0.00830078125,
0.0032806396484375,
-0.1015625,
-0.080078125,
-0.046630859375,
0.12060546875,
-0.005767822265625,
-0.0033721923828125,
-0.00188446044921875,
0.0240478515625,
0.000820159912109375,
-0.07958984375,
-0.03515625,
-0.09228515625,
-0.0166015625... | 13,698,845 | 13698845 | |
Capacitor Inductor Calculations – Homemade Circuit Projects
Inductors can be imagined as the opposite of capacitors. The main difference between a capacitor and an inductor is that a capacitor carries a protective dielectric between its plates, which inhibits
the conduction of current across its terminals. Here it acts... | 5 | [
-0.0294189453125,
0.0031890869140625,
-0.01611328125,
-0.0086669921875,
0.0576171875,
0.0031890869140625,
-0.0615234375,
0.091796875,
0.064453125,
0.03564453125,
0.002044677734375,
-0.06591796875,
0.04833984375,
0.0225830078125,
0.016357421875,
-0.06005859375,
-0.032958984375,
0.00... | 13,698,846 | 13698846 | |
Two pointer (also known as 'Sliding Window')
The two pointer method is a helpful technique to always keep in mind when working with strings and arrays questions. It's a clever optimization that can help reduce time complexity with no added
space complexity (a win-win!) by utilizing extra pointers to avoid repetitive op... | 5 | [
-0.000972747802734375,
0.0615234375,
0.01263427734375,
-0.0299072265625,
-0.006744384765625,
-0.031005859375,
-0.0031585693359375,
-0.0235595703125,
-0.054931640625,
-0.0517578125,
-0.1494140625,
0.01806640625,
0.00732421875,
0.01251220703125,
-0.08740234375,
0.061767578125,
-0.01324... | 13,698,847 | 13698847 | |
DUALSP05: F. Riesz Theorem
:: F. Riesz Theorem
:: by Keiko Narita , Kazuhisa Nakasho and Yasunari Shidama
::
:: Received August 30, 2017
:: Copyright (c) 2017-2021 Association of Mizar Users
definition
let
A be non
empty closed_interval Subset
of
REAL
;
existence
ex b[1] being non empty strict compact TopSpa... | 4 | [
-0.10595703125,
-0.05029296875,
0.0162353515625,
0.005645751953125,
-0.046875,
0.08837890625,
0.08984375,
0.0196533203125,
-0.0019073486328125,
-0.043701171875,
-0.031494140625,
0.00250244140625,
0.05322265625,
-0.013916015625,
0.0172119140625,
0.00008344650268554688,
-0.04150390625,... | 13,698,848 | 13698848 | |
How do solve the following linear system?: 5x + y = 9 , 10x - 7y = -18 ? | Socratic
How do solve the following linear system?: #5x + y = 9 , 10x - 7y = -18 #?
1 Answer
$y = 9 - 5 x , 10 x - 7 \left(9 - 5 x\right) = - 18$
$10 x - 63 + 35 x = - 18$
$45 x = 45 , x = 1 , y = 4$
Explanation:
One way to solve the system ... | 4 | [
-0.054443359375,
0.0003986358642578125,
-0.00058746337890625,
-0.01434326171875,
0.0625,
0.041015625,
0.001495361328125,
0.0240478515625,
-0.08642578125,
0.004150390625,
0.08740234375,
0.061767578125,
0.05517578125,
0.0751953125,
-0.0400390625,
0.056396484375,
-0.091796875,
-0.0244... | 13,698,849 | 13698849 | |
Applicable Two-Sample Tests and Sample Size Computation
The SEQDESIGN procedure provides sample size computation for two-sample tests: the test for the difference between two normal means, tests for binomial proportions, and the log-rank test for two
survival distributions. These tests for binomial proportions includ... | 4 | [
0.0654296875,
-0.0003910064697265625,
0.01373291015625,
0.0146484375,
0.054931640625,
-0.041259765625,
-0.07763671875,
0.1318359375,
0.041015625,
0.003570556640625,
0.021484375,
-0.1005859375,
0.01434326171875,
-0.0247802734375,
0.011962890625,
-0.0206298828125,
-0.015869140625,
0.... | 13,698,850 | 13698850 | |
Introduction to Business Math
For this section you will need the following:
Symbols Used
• [latex]\%C=[/latex] percent change
• [latex]V_\textrm{i}=[/latex] original value
• [latex]V_\textrm{f}=[/latex] updated value
• [latex]RoC=[/latex] rate of change
• [latex]n=[/latex] total number of time periods
Form... | 4 | [
0.030029296875,
0.0096435546875,
0.00176239013671875,
-0.0005950927734375,
0.043212890625,
-0.0087890625,
-0.0703125,
0.1201171875,
0.04541015625,
0.0247802734375,
0.052001953125,
-0.07763671875,
-0.0244140625,
0.04638671875,
0.00250244140625,
0.05029296875,
-0.055908203125,
0.0490... | 13,698,851 | 13698851 | |
On PLONK & plookup | Zero-Knowledge cryptography research at METASTATE
PLONK is a SNARK (Succinct Non-interactive Argument of Knowledge) that can verify a computation done by an arithmetic circuit, meaning you might have a circuit $C$ that on input $x$ outputs $C(x) =
y$, and a PLONK proof (generated by the prover) wil... | 4 | [
-0.07763671875,
0.0194091796875,
-0.049072265625,
-0.07177734375,
0.033935546875,
-0.021240234375,
-0.0654296875,
0.09912109375,
0.0712890625,
0.018310546875,
-0.044677734375,
0.021240234375,
0.031005859375,
0.0302734375,
-0.03173828125,
-0.0022735595703125,
-0.04638671875,
0.12304... | 13,698,852 | 13698852 | |
There are many ways and stories about color space transformation
Ask how something can be done rather than say it can't be done. — Bo Bennett
Why is there a difference between technicians
There is a huge gap between technicians. The first time I felt this was in 2006.
At that time, I was still in graduate school. I ... | 4 | [
-0.0281982421875,
0.0201416015625,
0.07080078125,
0.04296875,
-0.05224609375,
-0.034423828125,
0.0079345703125,
0.0157470703125,
-0.022216796875,
-0.05419921875,
-0.09130859375,
0.0244140625,
0.032470703125,
0.0079345703125,
-0.062255859375,
0.003631591796875,
0.038330078125,
-0.03... | 13,698,853 | 13698853 | |
Attractor
From Scholarpedia
John W. Milnor (2006), Scholarpedia, 1(11):1815. doi:10.4249/scholarpedia.1815 revision #186525 [link to/cite this article]
Roughly speaking, an attracting set for a dynamical system is a closed subset \(A\) of its phase space such that for "many" choices of initial point the system will... | 4 | [
-0.09375,
-0.058349609375,
0.037109375,
-0.005401611328125,
-0.003021240234375,
0.03662109375,
0.01953125,
-0.0235595703125,
0.134765625,
0.001434326171875,
0.049072265625,
-0.0228271484375,
0.07373046875,
-0.054443359375,
0.078125,
0.0361328125,
-0.06396484375,
-0.06494140625,
0... | 13,698,854 | 13698854 | |
ar
249 research outputs found
We study the inhomogeneous 8-vertex model (or equivalently the XYZ Heisenberg spin-1/2 chain) with all kinds of integrable quasi-periodic boundary conditions: periodic, $\sigma^x$-twisted, $\sigma^y$
-twisted or $\sigma^z$-twisted. We show that in all these cases but the periodic one w... | 4 | [
-0.11181640625,
-0.032470703125,
-0.009765625,
0.033203125,
0.037353515625,
0.00189208984375,
-0.037841796875,
0.01019287109375,
-0.0247802734375,
-0.04736328125,
0.0615234375,
0.0306396484375,
-0.046142578125,
-0.01336669921875,
0.062255859375,
-0.0029754638671875,
-0.026611328125,
... | 13,698,855 | 13698855 | |
Classical Sets | Brilliant Math & Science Wiki
There are some special sets that are often used to group specific types of numbers. It is easy to write out a set containing even numbers from 1 to 10, \(\{2,4,6,8,10\}\), but it is more difficult to
write out sets that have infinitely many elements. Fortunately, there are... | 5 | [
-0.044677734375,
-0.03271484375,
-0.041259765625,
0.07177734375,
-0.07763671875,
0.03564453125,
0.032470703125,
0.0654296875,
0.04296875,
-0.07080078125,
-0.0303955078125,
-0.019775390625,
0.021240234375,
0.045166015625,
-0.051025390625,
-0.08447265625,
0.011474609375,
-0.048095703... | 13,698,856 | 13698856 | |
AP Board 8th Class Maths Solutions Chapter 12 Factorisation Ex 12.1
AP State Syllabus AP Board 8th Class Maths Solutions Chapter 12 Factorisation Ex 12.1 Textbook Questions and Answers.
AP State Syllabus 8th Class Maths Solutions 12th Lesson Factorisation Exercise 12.1
Question 1.
Find the common factors of the giv... | 4 | [
-0.00616455078125,
-0.036376953125,
0.01318359375,
-0.046630859375,
0.01806640625,
0.040771484375,
0.044189453125,
-0.03369140625,
-0.138671875,
0.003753662109375,
0.1083984375,
-0.0208740234375,
0.04248046875,
0.022705078125,
0.031982421875,
0.1025390625,
-0.07470703125,
-0.026000... | 13,698,857 | 13698857 | |
Let f : R → R : f(x) =2 x . Find (i) range (f) (ii) {x : f(x) = 1}. (iii) Find out whether f(x + y) = f(x). f(y) for all x, y ϵ R.
Given that f: R → R such that f(x) = 2^x
To find: (i) Range of x
Here, f(x) = 2^x is a positive real number for every x ∈ R because 2^x is positive for every x ∈ R.
Moreover, for every p... | 4 | [
0.018798828125,
0.0235595703125,
-0.0556640625,
0.064453125,
0.031982421875,
0.0203857421875,
0.09228515625,
0.06298828125,
-0.0269775390625,
-0.057861328125,
-0.041015625,
-0.08740234375,
0.038818359375,
0.0322265625,
0.06982421875,
0.01806640625,
-0.1064453125,
-0.024658203125,
... | 13,698,858 | 13698858 | |
0% Plagiarism Guaranteed & Custom Written
Assignment Brief
Module Title Individual Cohort Module Code
Computational Fluid Dynamics September ... | 5 | [
-0.0859375,
-0.0174560546875,
-0.01483154296875,
0.010986328125,
0.005584716796875,
0.0169677734375,
-0.06396484375,
0.055419921875,
-0.0252685546875,
-0.00494384765625,
0.041259765625,
-0.044677734375,
-0.0439453125,
0.0079345703125,
-0.11083984375,
-0.0654296875,
-0.053955078125,
... | 13,698,859 | 13698859 | |
How do you use the first and second derivatives to sketch y= 3x^4 - 4x^3? | HIX Tutor
How do you use the first and second derivatives to sketch #y= 3x^4 - 4x^3#?
Answer 1
Given: #f(x) = y = 3x^4 - 4x^3 = x^3(3x - 4)#
Find the first derivative and set #y' = 0# to find the critical points:
# " "y' = 12x^3 - 12x^2 = 0... | 4 | [
0.091796875,
-0.05859375,
-0.0947265625,
-0.049560546875,
-0.05859375,
-0.006011962890625,
0.0019683837890625,
0.048828125,
0.0157470703125,
-0.0216064453125,
0.047119140625,
0.04248046875,
0.07763671875,
0.002716064453125,
-0.00159454345703125,
0.029541015625,
-0.0228271484375,
-0... | 13,698,860 | 13698860 | |
Cox regression assignment solution
1. Cox regression homework solution
Interpreting Cox Regression
Here we will use cox regression to estimate survival time for cancer patients in relation to the stage.
Question 1
Kardaun (1983) reports data on 90 males diagnosed with cancer of the larynx during the period 1970 — ... | 5 | [
0.016845703125,
0.01470947265625,
-0.038818359375,
-0.06982421875,
0.028564453125,
0.0703125,
-0.08154296875,
0.08984375,
0.01397705078125,
-0.038818359375,
-0.01043701171875,
0.01141357421875,
0.0133056640625,
0.0257568359375,
-0.078125,
-0.023681640625,
-0.080078125,
-0.086425781... | 13,698,861 | 13698861 | |
Topological Classification of Vittorio Giorgini’s Sculptures | Visual Computing Lab
Topological Classification of Vittorio Giorgini’s Sculptures
Abstract
The 19th century saw the development of a new branch of mathematics, topology, which studies the properties of geometrical objects that are invariant under continuo... | 4 | [
-0.0291748046875,
0.0238037109375,
-0.00469970703125,
-0.03125,
-0.109375,
-0.03515625,
0.0120849609375,
0.01708984375,
0.0234375,
-0.0172119140625,
-0.0634765625,
-0.0302734375,
0.052978515625,
0.041748046875,
-0.055419921875,
-0.0791015625,
-0.044677734375,
0.08056640625,
0.019... | 13,698,862 | 13698862 | |
numpy.gradient
numpy.gradient¶
numpy.gradient(f, *varargs, **kwargs)[source]¶
Return the gradient of an N-dimensional array.
The gradient is computed using second order accurate central differences in the interior points and either first or second order accurate one-sides (forward or backwards) differences a... | 4 | [
-0.01434326171875,
-0.0771484375,
-0.0240478515625,
-0.06591796875,
-0.017578125,
-0.0264892578125,
-0.045166015625,
-0.041259765625,
-0.01495361328125,
-0.06787109375,
-0.0888671875,
0.032470703125,
0.01300048828125,
0.0021820068359375,
0.0194091796875,
0.015380859375,
-0.0456542968... | 13,698,863 | 13698863 | |
TCS CodeVita
Hours to prove your mettle
Global Ranking List to top coders
About Us
Get ready to unlock the world of programming excitement with CodeVita!
Launched in 2012, TCS CodeVita is a global programming competition designed to identify top coders around the world. It's a dynamic contest that unites people fro... | 5 | [
-0.08251953125,
-0.04052734375,
-0.0162353515625,
-0.053466796875,
0.0009002685546875,
0.0211181640625,
-0.034912109375,
0.00162506103515625,
-0.0615234375,
0.01239013671875,
-0.06787109375,
-0.031494140625,
0.0458984375,
0.00384521484375,
-0.04541015625,
-0.08642578125,
-0.001205444... | 13,698,864 | 13698864 | |
\overline z $ represent adjacent vertices of a regular polygon of $n$ sides with centre at origin and if $\
Hint:
First of all we should know that a regular polygon is a polygon that has equal sides and equal angles. In this question we should know that we have complex numbers. We can assume that ${z_1} = x +
iy$, the... | 5 | [
-0.0439453125,
0.06689453125,
-0.0020294189453125,
0.0172119140625,
-0.06494140625,
-0.033203125,
0.0830078125,
0.06787109375,
-0.0081787109375,
-0.05419921875,
-0.01446533203125,
-0.017822265625,
0.0198974609375,
0.061279296875,
0.031494140625,
-0.04541015625,
-0.0228271484375,
-0... | 13,698,865 | 13698865 | |
Circles
Circle:
The collection of all points in a plane which are at a fixed distance from a fixed point in the plane is called a circle.
Chord -
The line segment within the circle joining any 2 points on the circle is called the chord.
Diameter
– A Chord passing through the centre of the circle is called the di... | 4 | [
0.00946044921875,
-0.0172119140625,
-0.1044921875,
0.033935546875,
0.0027923583984375,
-0.054443359375,
0.0128173828125,
0.09814453125,
0.1162109375,
-0.0810546875,
0.00909423828125,
-0.007171630859375,
0.043701171875,
0.047119140625,
0.0302734375,
-0.07666015625,
-0.01806640625,
-... | 13,698,866 | 13698866 | |
Generalized Associative Law for Groups
•
• Thread starter sammycaps
• Start date
•
Tags
In summary, The proof is outlined in D & F. Prove the Generalized Associative Law for Groups (i.e. a finite sum of elements can be bracketed in any way).
Prove the Generalized Associative Law for Groups (i.e. a fini... | 4 | [
-0.09033203125,
0.0279541015625,
0.044921875,
-0.045166015625,
-0.076171875,
-0.00665283203125,
0.06005859375,
-0.11865234375,
0.00762939453125,
0.02880859375,
-0.053466796875,
0.018798828125,
-0.0076904296875,
-0.0277099609375,
0.0206298828125,
0.06884765625,
0.0341796875,
0.05273... | 13,698,867 | 13698867 | |
Dense evaluation on the Handy dataset – Figure 4.9
4.3 Online model calibration
4.4.5 Dense evaluation on the Handy dataset – Figure 4.9
Another way to evaluate the quality of tracking/calibration is to compare the depth mapDn
(i.e. sensor point cloud) to the tracking model depth map ¯D^(θ,β) (i.e. model point cloud... | 4 | [
-0.07177734375,
-0.07666015625,
0.0228271484375,
-0.0166015625,
0.126953125,
-0.0211181640625,
0.0311279296875,
0.01214599609375,
0.06689453125,
-0.0201416015625,
0.021240234375,
-0.07421875,
0.01312255859375,
-0.00762939453125,
-0.01708984375,
-0.05517578125,
0.1181640625,
0.01147... | 13,698,868 | 13698868 | |
Students can access the CBSE Sample Papers for Class 10 Maths Basic with Solutions and marking scheme Set 4 will help students in understanding the difficulty level of the exam. BEL Pivot Point
Calculator
CBSE Sample Papers for Class 10 Maths Basic Set 4 with Solutions
Maximum Marks: 80
Time Allowed: 3 hours
Genera... | 4 | [
-0.006103515625,
0.01141357421875,
0.03759765625,
-0.059326171875,
-0.04443359375,
0.07177734375,
-0.025146484375,
0.11669921875,
-0.02685546875,
0.045166015625,
-0.026123046875,
-0.08544921875,
0.049072265625,
0.010009765625,
0.004913330078125,
-0.03759765625,
-0.0306396484375,
-0... | 13,698,869 | 13698869 | |
Quadratic equations Homework Help, Questions with Solutions - Kunduz
Quadratic equations Questions and Answers
Algebra
Quadratic equations
Simple Interest Heather plans to invest 5 000 for 8 years Capitol Bank offers an 8 year CD at an annual rate of 5 using simple interest How much is his investment worth at the en... | 4 | [
-0.00144195556640625,
0.0380859375,
-0.0186767578125,
-0.07861328125,
-0.08984375,
0.0654296875,
-0.06103515625,
0.06884765625,
-0.043212890625,
0.015869140625,
0.0157470703125,
-0.05224609375,
-0.0174560546875,
-0.0146484375,
-0.060546875,
0.028076171875,
-0.0272216796875,
-0.0308... | 13,698,870 | 13698870 | |
Texas Go Math Grade 8 Lesson 2.1 Answer Key Scientific Notation with Positive Powers of 10
Refer to our Texas Go Math Grade 8 Answer Key Pdf to score good marks in the exams. Test yourself by practicing the problems from Texas Go Math Grade 8 Lesson 2.1 Answer Key Scientific Notation with
Positive Powers of 10.
Texa... | 4 | [
-0.00689697265625,
0.07080078125,
0.060791015625,
0.01019287109375,
-0.043701171875,
-0.0206298828125,
0.05859375,
0.078125,
-0.0277099609375,
0.0693359375,
0.01141357421875,
-0.09912109375,
0.08935546875,
0.078125,
-0.0458984375,
0.06396484375,
-0.01953125,
0.010009765625,
-0.09... | 13,698,871 | 13698871 | |
CRL Task 1: Generalised Policy Learning
In the previous blog post we developed some ideas and theory needed to discuss a causal approach to reinforcement learning. We formalised notions of multi-armed bandits (MABs), Markov Decision
Processes (MDPs), and some causal notions. In this blog post we’ll finally get to dev... | 4 | [
-0.09912109375,
-0.01019287109375,
0.03466796875,
-0.037353515625,
0.06787109375,
0.0201416015625,
0.07958984375,
-0.0281982421875,
-0.0230712890625,
0.0732421875,
-0.040283203125,
0.00179290771484375,
0.055908203125,
0.02490234375,
-0.0291748046875,
-0.01409912109375,
-0.00011157989... | 13,698,872 | 13698872 | |
College Algebra Foundations
Learning Objectives
• Define square root
• Find square roots
We know how to square a number:
[latex]5^2=25[/latex] and [latex]\left(-5\right)^2=25[/latex]
Taking a square root is the opposite of squaring so we can make these statements:
• 5 is the nonngeative square root of 25
•... | 4 | [
0.00151824951171875,
0.017333984375,
0.0169677734375,
0.033447265625,
-0.05029296875,
-0.032470703125,
-0.0155029296875,
0.04345703125,
0.091796875,
-0.006103515625,
0.023193359375,
0.06640625,
0.087890625,
0.08056640625,
-0.01318359375,
-0.006317138671875,
-0.0035858154296875,
-0.... | 13,698,873 | 13698873 | |
Novel Fractional Operators with Three Orders and Power-Law, Exponential Decay and Mittag–Leffler Memories Involving the Truncated M-Derivative
^1
Tecnológico Nacional de México/CENIDET, Interior Internado Palmira S/N, Col. Palmira, Cuernavaca 62490, Mexico
^2
CONACyT-Tecnológico Nacional de México/CENIDET, Interior... | 5 | [
-0.06396484375,
0.006805419921875,
0.06396484375,
0.0322265625,
0.049072265625,
-0.083984375,
-0.09130859375,
0.0031890869140625,
0.04150390625,
0.033447265625,
0.0712890625,
-0.0263671875,
-0.003875732421875,
0.0174560546875,
0.046875,
0.0069580078125,
-0.046630859375,
0.046630859... | 13,698,874 | 13698874 | |
Maximum Flow Problems
Introduction
In optimization theory, Maximum Flow problems involve finding the maximum flow (or traffic) that can be sent from one place to another, subject to certain constraints. In this post, we will look at
Maximum Flow algorithms applied to Networking and the questions they can help answer.... | 5 | [
0.0230712890625,
-0.0030364990234375,
-0.0029296875,
-0.03076171875,
0.031005859375,
0.007537841796875,
-0.038330078125,
0.06591796875,
-0.0211181640625,
0.0419921875,
-0.11474609375,
0.053466796875,
0.015380859375,
0.11083984375,
-0.0279541015625,
0.08642578125,
0.0712890625,
0.00... | 13,698,875 | 13698875 | |
How do you simplify (7x^4y^3)/(5xy)*(2xy^7)/(21y^5)? | HIX Tutor
How do you simplify #(7x^4y^3)/(5xy)*(2xy^7)/(21y^5)#?
Answer 1
See the entire simplification process below:
First, use these rules of exponents to multiply the numerators and denominators:
#a = a^color(red)(1)# and #x^color(red)(a) xx x^color(blue)(b... | 4 | [
0.0018768310546875,
0.0235595703125,
0.0189208984375,
0.0269775390625,
-0.019775390625,
-0.0224609375,
-0.003936767578125,
-0.08984375,
-0.0162353515625,
0.0023193359375,
0.0038299560546875,
-0.0157470703125,
0.0546875,
0.06689453125,
0.024658203125,
0.16796875,
-0.10498046875,
0.0... | 13,698,876 | 13698876 | |
None
var redirect_url, page_hash; if (window === window.top) { // Redirect // redirect_url = "../helpintro.html#page/content/cmatrix-Matrix_Expressions.html"; if (window.document.location.hash.length > 1)
{ // Sanitize and append it // page_hash = window.document.location.hash.substring(1); page_hash = page_hash.replac... | 4 | [
-0.0302734375,
0.0673828125,
-0.07763671875,
-0.03271484375,
0.005584716796875,
-0.017822265625,
-0.056640625,
-0.00103759765625,
0.0240478515625,
0.049560546875,
-0.00885009765625,
0.06689453125,
0.052490234375,
-0.0196533203125,
-0.00897216796875,
0.08740234375,
-0.0869140625,
0.... | 13,698,877 | 13698877 | |
Project Euler 5: Smallest Multiple - Project Euler Detailed Solutions
Project Euler 5: Smallest Multiple
Problem
2520 is the smallest number that can be divided by each of the numbers from 1 to 10 without any remainder.
What is the smallest positive number that is evenly divisible by all of the numbers from 1 to 20?... | 4 | [
-0.00096893310546875,
0.041748046875,
-0.031005859375,
-0.09375,
0.055419921875,
-0.004730224609375,
0.0245361328125,
0.08447265625,
-0.09375,
0.025634765625,
0.001617431640625,
0.0218505859375,
0.10498046875,
0.06494140625,
0.01544189453125,
0.00665283203125,
-0.05908203125,
0.066... | 13,698,878 | 13698878 | |
[GAP Forum] Encode Homomorphism Between Groups
Jeffrey Rolland rollandj at uwm.edu
Sat Jan 23 21:05:15 GMT 2010
-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA1
Hello, all!
I am a GAP newbie. I am trying to create a semidirect product in GAP,
and I am having a little trouble encoding the homomorphism.
The semidirect ... | 4 | [
-0.07958984375,
0.046142578125,
-0.07275390625,
-0.053466796875,
0.055419921875,
0.072265625,
0.056396484375,
-0.08984375,
-0.054931640625,
-0.07470703125,
0.0654296875,
-0.0439453125,
0.0152587890625,
-0.04638671875,
0.0380859375,
0.054443359375,
-0.0751953125,
0.0115966796875,
... | 13,698,879 | 13698879 | |
Airbag Fabric Porosity
Porosity of airbag material is modeled by the addition of a porosity card /LEAK/MAT to /MAT/LAW58 card.
Generic /TYPE7 and TYPE11 contacts between airbag and housing (kg, mm, ms)
#---1----|----2----|----3----|----4----|----5----|----6----|----7----|----8----|----9----|---10----|
/MAT/LAW58/1
... | 4 | [
-0.056396484375,
0.0263671875,
-0.0439453125,
0.037353515625,
0.1162109375,
-0.10400390625,
0.16015625,
0.083984375,
0.00537109375,
-0.00115203857421875,
0.023193359375,
-0.0137939453125,
0.033203125,
0.052978515625,
-0.050048828125,
-0.00019931793212890625,
-0.0186767578125,
-0.00... | 13,698,880 | 13698880 | |
Theory and Implementation of the Test
Implementing the Test
The function testunknown(x, pvector, k) implements the test of multivariate normality of the n x p matrix, x. The input parameters will be discussed more fully in the next paragraphs.
The matrix x is assumed to be a sample of n observations on the unknown p-... | 4 | [
0.009033203125,
-0.04931640625,
-0.033447265625,
-0.0184326171875,
0.036376953125,
-0.007415771484375,
0.0308837890625,
-0.038818359375,
0.0084228515625,
0.0654296875,
0.0390625,
0.062255859375,
0.07666015625,
-0.000011086463928222656,
-0.055908203125,
-0.06396484375,
0.08349609375,
... | 13,698,881 | 13698881 | |
Chebyshev's Inequality
LearnDataSci is reader-supported. When you purchase through links on our site, earned commissions help support our team of writers, researchers, and designers at no extra cost to you.
What is Chebyshev's Inequality
Chebyshev's inequality is a theory describing the maximum number of extreme val... | 5 | [
0.029541015625,
0.015869140625,
0.0047607421875,
-0.0020751953125,
0.01025390625,
-0.020751953125,
0.0299072265625,
0.138671875,
0.04931640625,
0.058837890625,
0.01300048828125,
0.0576171875,
0.1259765625,
-0.0634765625,
-0.005218505859375,
-0.057373046875,
0.095703125,
-0.03540039... | 13,698,882 | 13698882 | |
Structural and Practical Identifiability Analysis of Goodwin Enzymetic Oscillator
In this tutorial we will show a classical model of oscillations in enzyme kinetics proposed by Goodwin in 1965 (^[1],^[2]). It is a good-benchmarking example for comparing the performance of several
structural identifiability methods, con... | 4 | [
-0.11376953125,
-0.11962890625,
-0.08203125,
-0.03369140625,
-0.02099609375,
0.0242919921875,
-0.022216796875,
0.00579833984375,
-0.0194091796875,
-0.054931640625,
0.0576171875,
-0.0269775390625,
0.01336669921875,
-0.031494140625,
-0.0220947265625,
0.052978515625,
-0.0224609375,
-0... | 13,698,883 | 13698883 | |
8.6 Image Formation by Mirrors
Learning Objectives
Learning Objectives
By the end of this section, you will be able to do the following:
• Illustrate image formation in a flat mirror
• Explain with ray diagrams the formation of an image using spherical mirrors
• Determine focal length and magnification given r... | 5 | [
0.051025390625,
-0.00958251953125,
0.0537109375,
-0.04931640625,
-0.054931640625,
-0.099609375,
-0.03369140625,
0.04345703125,
-0.034912109375,
0.06494140625,
0.0400390625,
-0.01397705078125,
0.0137939453125,
0.054443359375,
-0.0301513671875,
-0.01513671875,
-0.001312255859375,
0.0... | 13,698,884 | 13698884 | |
tion
Particle Merging¶
Be careful when using this module and read carefully the documentation.
Note that the nomenclature might change
The ability to merge macro-particles can speed-up the code efficiency and reduce the memory footprint in some specific simulation scenarii:
• When macro-particles accumula... | 4 | [
-0.0888671875,
-0.0732421875,
-0.035888671875,
0.0296630859375,
0.0128173828125,
-0.03271484375,
-0.00799560546875,
0.09130859375,
-0.038818359375,
0.01055908203125,
0.0693359375,
-0.0118408203125,
-0.044677734375,
-0.006927490234375,
-0.009765625,
0.028076171875,
-0.053466796875,
... | 13,698,885 | 13698885 | |
Algebra 2 Honors
General Course Information and Notes
Version Description
In Algebra 2 Honors, instructional time will emphasize six areas: (1) developing understanding of the complex number system, including complex numbers as roots of polynomial equations; (2) extending
arithmetic operations with algebraic express... | 5 | [
0.0003604888916015625,
0.0050048828125,
0.005615234375,
-0.0120849609375,
-0.1328125,
-0.055419921875,
-0.025634765625,
0.038818359375,
-0.0257568359375,
-0.00982666015625,
-0.015625,
-0.0301513671875,
0.0036468505859375,
0.049072265625,
0.03466796875,
0.0101318359375,
0.002655029296... | 13,698,886 | 13698886 | |
mn.HT: Horvitz-Thompson estimator for the missing-data setup in iWeigReg: Improved Methods for Causal Inference and Missing Data Problems
This function implements the Horvitz-Thompson estimator of the mean outcome in the presence of missing data.
y A vector or a matrix of outcomes with missing data.
tr A vector of... | 4 | [
-0.029052734375,
0.0166015625,
-0.06640625,
0.05419921875,
0.115234375,
0.027587890625,
0.0159912109375,
0.0595703125,
-0.0157470703125,
0.04931640625,
0.047119140625,
0.041015625,
0.041748046875,
-0.0096435546875,
-0.00201416015625,
0.00885009765625,
-0.02392578125,
-0.04760742187... | 13,698,887 | 13698887 | |
Projectile Motion Calculator
Last updated: Jul 28, 2022
Welcome to the projectile motion calculator, a kinematic tool that will help you to solve projectile equations in physics and calculate distance, maximum height, time of flight, and many more
projectile parameters!
To learn more about the theory behind and solv... | 4 | [
0.019287109375,
0.04150390625,
-0.019775390625,
-0.06396484375,
-0.06201171875,
0.036865234375,
-0.11572265625,
0.1318359375,
-0.0277099609375,
0.08154296875,
0.0162353515625,
0.054443359375,
0.004119873046875,
0.08935546875,
-0.052734375,
0.0771484375,
-0.0439453125,
0.05908203125... | 13,698,888 | 13698888 | |
Linear Algebra/Topic: Voting Paradoxes - Wikibooks, open books for an open world
Imagine that a Political Science class studying the American presidential process holds a mock election. Members of the class are asked to rank, from most preferred to least preferred, the nominees
from the Democratic Party, the Republican... | 5 | [
-0.0191650390625,
-0.10791015625,
-0.0185546875,
-0.05712890625,
-0.01397705078125,
0.09130859375,
-0.0169677734375,
-0.0181884765625,
-0.0115966796875,
0.10205078125,
0.039306640625,
0.1142578125,
0.068359375,
-0.0341796875,
-0.07275390625,
0.0361328125,
-0.0079345703125,
-0.00332... | 13,698,889 | 13698889 | |
$n$-Harmonic Mappings between Annuli: The Art of Integrating Free Lagrangianssearch
Item Successfully Added to Cart
An error was encountered while trying to add the item to the cart. Please try again.
Please make all selections above before adding to cart
$n$-Harmonic Mappings between Annuli: The Art of Integrating ... | 4 | [
-0.08251953125,
0.0272216796875,
0.01806640625,
-0.044921875,
-0.046875,
-0.0011138916015625,
-0.07470703125,
0.06591796875,
-0.0107421875,
0.033447265625,
0.0341796875,
-0.01092529296875,
-0.0250244140625,
-0.08349609375,
0.032470703125,
0.06787109375,
-0.02294921875,
0.0269775390... | 13,698,890 | 13698890 | |
zlatrs: solves one of the triangular systems A * x = s*b, A**T * x = s*b, or A**H * x = s*b, - Linux Manuals (l)
zlatrs (l) - Linux Manuals
zlatrs: solves one of the triangular systems A * x = s*b, A**T * x = s*b, or A**H * x = s*b,
NAME
ZLATRS - solves one of the triangular systems A * x = s*b, A**T * x = s*b, or... | 4 | [
-0.09375,
0.034912109375,
-0.140625,
-0.05224609375,
0.01153564453125,
-0.0859375,
-0.049560546875,
0.07666015625,
-0.051025390625,
-0.043701171875,
0.0294189453125,
-0.01165771484375,
0.091796875,
0.01531982421875,
-0.00201416015625,
0.033447265625,
-0.040283203125,
0.051513671875... | 13,698,891 | 13698891 | |
Measuring neutrino mass imprinted on the anisotropic galaxy clustering - PDF Free Download
Idea Transcript
Measuring neutrino mass imprinted on the anisotropic galaxy clustering Minji Oh & Yong-Seon Song arXiv: 1607.01074 Accepted (JCAP)
Contents I. Background Physics – How Massive Neutrino affect Galaxy Clustering ... | 4 | [
-0.1337890625,
-0.00927734375,
0.0284423828125,
0.1181640625,
0.0308837890625,
0.0145263671875,
0.01007080078125,
0.09619140625,
0.003204345703125,
-0.037353515625,
0.03955078125,
-0.09521484375,
-0.054443359375,
0.038330078125,
0.0260009765625,
-0.08349609375,
0.023681640625,
0.02... | 13,698,892 | 13698892 | |
The Generalized Lebesgue Dominated Convergence Theorem
The Generalized Lebesgue Dominated Convergence Theorem
Theorem (The Generalized Lebesgue Dominated Convergence Theorem): Let $(f_n(x))_{n=1}^{\infty}$ be a sequence of Lebesgue measurable functions defined on a Lebesgue measurable set $E$, and let $(g_n
(x))_{n=1... | 4 | [
-0.0595703125,
-0.02880859375,
0.02099609375,
-0.033447265625,
0.09130859375,
0.028564453125,
0.115234375,
0.049072265625,
-0.099609375,
-0.0255126953125,
0.00579833984375,
0.055908203125,
0.0257568359375,
-0.0517578125,
0.019775390625,
-0.09619140625,
0.051513671875,
-0.0407714843... | 13,698,893 | 13698893 | |
An Introduction to Randomized Sketching
In this post, I will make an introductory presentation about sketching, a statistical technique to handle large datasets. First, I will give the intuitive idea behind sketching, which is also the
most important and valuable part of this post. Then, I will describe the various sk... | 4 | [
-0.06103515625,
-0.0206298828125,
0.043212890625,
-0.05078125,
0.000125885009765625,
-0.02392578125,
-0.0034027099609375,
0.000484466552734375,
-0.00147247314453125,
0.05029296875,
-0.068359375,
0.03369140625,
0.048095703125,
0.0189208984375,
-0.0546875,
-0.016357421875,
0.0883789062... | 13,698,894 | 13698894 | |
OSIRIS - Onderwijsaanbod GEO3-1320 2017
• Students have learned to perform modelling experiments derived from a science (physics, chemistry, hydrology or geology) problem context;
• Students have acquired basic skills in program development using the (modern) Fortran language. This includes analysis of relatively s... | 4 | [
-0.09619140625,
0.07177734375,
-0.0015106201171875,
-0.0208740234375,
-0.052001953125,
-0.193359375,
-0.1044921875,
0.0810546875,
-0.0196533203125,
-0.0390625,
-0.0027008056640625,
-0.0908203125,
0.03125,
-0.0264892578125,
-0.0240478515625,
-0.033447265625,
-0.072265625,
0.02770996... | 13,698,895 | 13698895 | |
[GAP Forum] Cohomology of nontrivial G-modules?
Ellis, Grahamj graham.ellis at nuigalway.ie
Wed Nov 11 22:09:30 GMT 2015
Hi Benoit,
On Wed, Nov 11, 2015 at 10:52:29AM -0500, Benoit Jacob wrote:
> > I need to compute cohomology groups of the form
> >
> > H^n(G, A)
> >
> > where G is a finite group and A is a nont... | 5 | [
-0.10595703125,
0.043212890625,
-0.025390625,
0.031494140625,
0.01275634765625,
0.01025390625,
-0.027099609375,
-0.08251953125,
-0.08251953125,
-0.0869140625,
0.08349609375,
-0.06640625,
-0.0517578125,
-0.07568359375,
0.03076171875,
0.007293701171875,
-0.02880859375,
0.0419921875,
... | 13,698,896 | 13698896 | |
Contraction (operator theory)
From Encyclopedia of Mathematics
contracting operator, contractive operator, compression
A bounded linear mapping $T$ of a Hilbert space $H$ into a Hilbert space $H _ { 1 }$ with $\| T \| \leq 1$. For $H = H _ { 1 }$, a contractive operator $T$ is called completely non-unitary if it is
... | 4 | [
-0.047607421875,
-0.01251220703125,
-0.0498046875,
-0.05419921875,
-0.05810546875,
0.0301513671875,
-0.0145263671875,
-0.03857421875,
0.00518798828125,
-0.02783203125,
0.025634765625,
0.0186767578125,
0.000659942626953125,
0.0264892578125,
-0.0556640625,
-0.00118255615234375,
0.00817... | 13,698,897 | 13698897 | |
Statistics – Class 9 /Maths.
Chapter 14 of NCERT/CBSE Class 9 Maths is about Statistics. Herein this lesson you can find out practice problems for this chapter.
CBSE CLASS 9 MATHEMATICS
Statistics – Chapter 14 / Sample paper.
Fill in the blanks:
1. Facts or figures collected with a definite purpose are called ————
... | 4 | [
-0.001861572265625,
0.041259765625,
0.050048828125,
-0.045166015625,
-0.0003604888916015625,
0.07275390625,
0.03759765625,
0.142578125,
-0.0252685546875,
0.06494140625,
0.0218505859375,
0.0291748046875,
0.08447265625,
-0.021240234375,
-0.0419921875,
-0.0478515625,
-0.019287109375,
... | 13,698,898 | 13698898 | |
How-to
How-to use Dyson and Magnus based solvers#
Warning
This is an advanced topic — utilizing perturbation-theory based solvers requires detailed knowledge of the structure of the differential equations involved, as well as manual tuning of the solver
parameters. See the DysonSolver and MagnusSolver documentation ... | 5 | [
-0.09326171875,
-0.0213623046875,
-0.0213623046875,
0.0181884765625,
-0.00787353515625,
-0.126953125,
-0.1396484375,
0.06201171875,
0.0079345703125,
-0.030029296875,
0.027587890625,
-0.034423828125,
0.064453125,
-0.032470703125,
-0.004119873046875,
0.02880859375,
0.033935546875,
0.... | 13,698,899 | 13698899 |