content string | quality_label int64 | meta string | all-MiniLM-L6-v2_embedding list | doc_id int64 | unique_id string |
|---|---|---|---|---|---|
An Overview of Tactics
An Overview of Tactics
In this chapter, we quickly introduce several of the main concepts underlying Meta-F* and its use in writing tactics for proof automation. The goal is to get you quickly up to speed on basic uses of
tactics. Subsequent chapters will revisit the concepts covered here in mo... | 5 | [
-0.10009765625,
0.10791015625,
-0.017822265625,
-0.00191497802734375,
0.0859375,
-0.04833984375,
0.0038299560546875,
0.068359375,
-0.03759765625,
0.053466796875,
-0.0673828125,
-0.068359375,
0.042724609375,
0.060546875,
0.046875,
-0.034912109375,
-0.06298828125,
0.033447265625,
-... | 13,700,700 | 13700700 | |
Flashcards - Chemistry 3 Exam Review-1.txt
1. What is the equation that relates the speed of light to its frequency and wavelength?
□ c = v • λ
□ (p. 270)
2. What is the speed of light in m/s?
c = 3.0 •10^8 m/s
3. What is Planck's Constant?
h = 6.626 •10^-34 J•s
4. What are the four quantum... | 4 | [
-0.00145721435546875,
0.0107421875,
-0.0751953125,
0.0186767578125,
-0.041015625,
0.10546875,
0.002716064453125,
0.03076171875,
-0.0308837890625,
-0.00396728515625,
0.01904296875,
-0.0908203125,
-0.036865234375,
-0.031005859375,
0.021240234375,
0.031982421875,
0.005889892578125,
-0... | 13,700,701 | 13700701 | |
(2m+1)x^2+2(m+3)x+(m+5)=0
Analyzing the Quadratic Equation: (2m+1)x^2 + 2(m+3)x + (m+5) = 0
This article explores the quadratic equation (2m+1)x^2 + 2(m+3)x + (m+5) = 0, examining its properties and potential solutions based on the value of the parameter 'm'.
Understanding the Equation
The equation is a quadratic eq... | 4 | [
-0.07861328125,
-0.0079345703125,
0.0186767578125,
0.013427734375,
0.01904296875,
0.099609375,
0.005645751953125,
0.028564453125,
0.0013275146484375,
-0.025390625,
0.12060546875,
-0.09326171875,
-0.000171661376953125,
0.00189208984375,
-0.0242919921875,
0.06298828125,
0.033203125,
... | 13,700,702 | 13700702 | |
Maharashtra Board Class 12 Chemistry Solutions Chapter 6 Chemical Kinetics
Balbharti Maharashtra State Board 12th Chemistry Textbook Solutions Chapter 6 Chemical Kinetics Textbook Exercise Questions and Answers.
Maharashtra State Board Class 12 Chemistry Solutions Chapter 6 Chemical Kinetics
1. Choose the most corre... | 5 | [
-0.0810546875,
-0.02490234375,
-0.01287841796875,
-0.035888671875,
-0.007476806640625,
0.0306396484375,
0.02392578125,
0.007110595703125,
0.042236328125,
0.037841796875,
0.072265625,
-0.0306396484375,
-0.0162353515625,
-0.01348876953125,
-0.005096435546875,
0.0712890625,
0.0101318359... | 13,700,703 | 13700703 | |
Maharashtra Board 10th Class Maths Part 2 Practice Set 3.1 Solutions Chapter 3 Circle
Balbharti Maharashtra State Board Class 10 Maths Solutions covers the Practice Set 3.1 Geometry 10th Class Maths Part 2 Answers Solutions Chapter 3 Circle.
Practice Set 3.1 Geometry 10th Std Maths Part 2 Answers Chapter 3 Circle
Qu... | 4 | [
-0.05859375,
0.038330078125,
-0.030029296875,
-0.041748046875,
0.00982666015625,
0.0849609375,
0.032958984375,
0.0888671875,
0.06787109375,
-0.029052734375,
0.10009765625,
-0.1318359375,
0.01904296875,
-0.04052734375,
-0.0264892578125,
-0.019775390625,
-0.11328125,
-0.0322265625,
... | 13,700,704 | 13700704 | |
Parametric Curves - Definition, Graphs, and Examples (2024)
parametric curves will give us one more with special attributes (time to be specific). There are instances when modeling quantities using parametric curves is more helpful than graphing them in the
coordinate systems that we know – rectangular and polar coordi... | 5 | [
-0.09912109375,
-0.08203125,
-0.09326171875,
-0.0673828125,
-0.045166015625,
-0.01104736328125,
-0.0615234375,
0.0849609375,
0.029052734375,
0.017822265625,
0.0260009765625,
0.00042724609375,
-0.00897216796875,
0.09033203125,
0.064453125,
-0.0284423828125,
-0.08349609375,
-0.026977... | 13,700,705 | 13700705 | |
Contest Results
(Analysis by Dhruv Rohatgi )
In this problem, we are asked to find all sliding-window minima in an array, for some fixed-length window. We are given two passes through the array. The catch is that we are given only $O(\sqrt{N})$
memory.
Let $f(i)$ be the location of the smallest element in the range $... | 4 | [
0.01904296875,
0.06298828125,
-0.028076171875,
0.01373291015625,
-0.0279541015625,
0.060302734375,
0.031494140625,
-0.004302978515625,
0.0086669921875,
-0.039794921875,
-0.1220703125,
0.039306640625,
0.02978515625,
-0.0068359375,
-0.07861328125,
0.052734375,
-0.0177001953125,
0.046... | 13,700,706 | 13700706 | |
Total expense of Manu for the first 9 months = 9 × 3500 = Rs. 31,500
Total expense of Manu for the last 3 months = 3 × 3700 = 11,100
⇒ Yearly expense of Manu = 11,100 + 31,500 = Rs. 42,600
Monthly income of Manu = Rs. 4,000
⇒ Income of Manu for first 9 months = 9 × 4000 = Rs. 36,000
⇒ Manu’s income for last 3 months... | 4 | [
0.040283203125,
0.08203125,
-0.0185546875,
-0.039306640625,
-0.07177734375,
0.038818359375,
0.0133056640625,
0.083984375,
-0.032470703125,
0.0986328125,
0.04833984375,
-0.0771484375,
0.06494140625,
0.0361328125,
0.013916015625,
-0.040771484375,
-0.08935546875,
-0.049072265625,
0.... | 13,700,707 | 13700707 | |
Statistics for Data Science: Visualising Conditional Probability
Image by Author
I have been thinking of writing an article about the visual representation of the Bayes Theorem for some time. However, when I sat down to write it, I found that breaking the article into two is
better, as it was getting too long. In th... | 4 | [
-0.005615234375,
-0.004364013671875,
0.052490234375,
-0.0255126953125,
0.061279296875,
0.01385498046875,
0.0311279296875,
0.02001953125,
0.11669921875,
0.0277099609375,
-0.01043701171875,
-0.0267333984375,
0.09521484375,
0.01470947265625,
-0.01025390625,
0.0181884765625,
-0.001373291... | 13,700,708 | 13700708 | |
Paper Abstract: 2010a
Title: Local controllability of affine distributions (68 pages)
Author(s): César O. Aguilar
Detail: PhD Thesis, Queen's University
Original manuscript: 2010/01/21
In this thesis, we develop a feedback-invariant theory of local controllability for affine distributions. We begin by developing an u... | 4 | [
-0.058349609375,
-0.038818359375,
-0.0262451171875,
0.032470703125,
0.007659912109375,
0.040283203125,
0.103515625,
0.00579833984375,
0.060302734375,
-0.013671875,
0.05908203125,
-0.021484375,
0.020751953125,
0.00616455078125,
-0.04638671875,
-0.006256103515625,
0.12255859375,
0.02... | 13,700,709 | 13700709 | |
Package for Bayesian Model Averaging and Variable Selection
Using the Bayesian Adaptive Sampling (BAS) Package for Bayesian Model Averaging and Variable Selection
Merlise A Clyde
2024-09-17
The BAS package provides easy to use functions to implement Bayesian Model Averaging in linear models and generalized linear mo... | 4 | [
-0.06982421875,
-0.0966796875,
0.10009765625,
0.001983642578125,
0.05419921875,
0.0245361328125,
-0.05029296875,
0.06591796875,
0.0257568359375,
0.01312255859375,
0.05322265625,
0.018310546875,
0.01409912109375,
-0.05322265625,
0.0019378662109375,
-0.0013275146484375,
0.05322265625,
... | 13,700,710 | 13700710 | |
Foundations of Data Science / Python - Introductory Graduation / Hands-on: Python - Introductory Graduation
Python - Introductory Graduation
Overview
Questions:
□ What all did I learn up until now?
Objectives:
□ Recap all previous modules.
□ Use exercises to ensure that all previous kn... | 5 | [
-0.0869140625,
-0.01708984375,
0.0296630859375,
0.00138092041015625,
-0.03515625,
-0.07958984375,
-0.05908203125,
0.04833984375,
-0.08544921875,
0.0078125,
0.032958984375,
-0.04052734375,
0.07080078125,
-0.036865234375,
0.0203857421875,
-0.005401611328125,
-0.02880859375,
0.0028533... | 13,700,711 | 13700711 | |
Laboratory Techniques and Measurements
Lab 1 “Laboratory Techniques and Measurements”
A. Water boils at 100C at sea level. If the water in this experiment did not boil at 100 C, what could be the reason?
* We’re not at sea level; the pressure could be lower or higher.
B. While heating two different samples of water... | 4 | [
-0.004486083984375,
0.0218505859375,
-0.00009584426879882812,
0.03759765625,
0.0096435546875,
-0.1279296875,
0.0556640625,
0.0296630859375,
-0.0125732421875,
0.020263671875,
-0.02880859375,
-0.1513671875,
0.033203125,
0.035400390625,
-0.0272216796875,
-0.03125,
-0.04248046875,
0.01... | 13,700,712 | 13700712 | |
ordinal subdivision
nLab ordinal subdivision
Idea
The most usual method of subdivision for a simplicial complex as used in elementary algebraic and geometric topology is the barycentric subdivision. There is however another very well structured
subdivision construction encountered which can be useful. The basic geome... | 4 | [
0.023681640625,
0.017578125,
0.05029296875,
-0.09765625,
-0.12451171875,
0.0179443359375,
-0.1015625,
0.02197265625,
0.042236328125,
-0.0137939453125,
0.024658203125,
-0.046630859375,
-0.06396484375,
0.0306396484375,
0.0233154296875,
-0.0673828125,
-0.0244140625,
0.059326171875,
... | 13,700,713 | 13700713 | |
线性最小二乘法的矩阵解法——以求电阻为例
The problem is originally from an assignment, given by the professor of my summer international course Machine Learning for Autonomous Driving, who is an extraordinary, excellent, kind and
talented person.
Introduction
Using a multimeter, you measure the voltage drop across the resistor ... | 5 | [
-0.0537109375,
0.057861328125,
0.06298828125,
-0.0206298828125,
0.026123046875,
-0.0128173828125,
-0.0235595703125,
0.032470703125,
-0.039306640625,
0.0302734375,
-0.00653076171875,
-0.0341796875,
0.0390625,
0.042724609375,
0.007049560546875,
0.05126953125,
-0.04248046875,
0.050292... | 13,700,714 | 13700714 | |
Fundamentals of Electric Power Measurements
Basic Electrical Power Measurements
Understanding power generation, power loss, and the different types of power measured can be intimidating. Below is an overview of basic electric and mechanical power measurements.
Electric Current, Voltage, and Resistance
Any discussion... | 4 | [
-0.0169677734375,
0.091796875,
-0.005126953125,
0.040771484375,
0.001739501953125,
-0.0361328125,
0.013427734375,
-0.041748046875,
0.09814453125,
0.046142578125,
0.025146484375,
-0.07666015625,
0.035888671875,
0.00830078125,
-0.04833984375,
-0.025390625,
-0.035400390625,
0.07470703... | 13,700,715 | 13700715 | |
ag
About
Double pendulum with external drive
The simulation demonstrates a frictionless, mathematical double pendulum that either:
1. starts passively from given initial conditions,
2. or is driven periodically by an external source.... | 4 | [
-0.06884765625,
-0.068359375,
-0.018310546875,
0.00823974609375,
-0.0712890625,
-0.0277099609375,
-0.07470703125,
0.10546875,
0.040771484375,
0.044189453125,
0.051025390625,
0.010498046875,
0.0216064453125,
-0.1015625,
-0.057861328125,
0.08154296875,
-0.01080322265625,
-0.029174804... | 13,700,716 | 13700716 | |
Thermodynamics
Maharashtra Board-Class-12th-Physics-Chapter-4
Solutions
Question 1.
Choose the correct option.
i) A gas in a closed container is heated with 10J of energy, causing the lid of the container to rise 2m with 3N of force. What is the total change in energy of the system?
(A) 10J (B) 4J
(... | 4 | [
-0.09423828125,
0.042724609375,
-0.037353515625,
0.051025390625,
0.06494140625,
0.052734375,
0.04638671875,
0.037841796875,
0.06494140625,
0.0693359375,
-0.03076171875,
-0.064453125,
-0.0203857421875,
0.00360107421875,
0.0439453125,
-0.01312255859375,
-0.0031280517578125,
0.0208740... | 13,700,717 | 13700717 | |
OS-V: 0370 Simply-Supported Thick Square Plate Harmonic Forced Vibration Response
Test 21H OptiStruct is used to investigate the Peak Displacement in z-direction and extreme fiber bending stress at undamped Natural Frequency (at the center of the plate).
Figure 1. FE Model with Boundary Conditions and Loadcases
... | 5 | [
-0.05078125,
0.07373046875,
-0.00738525390625,
-0.0096435546875,
-0.016357421875,
-0.064453125,
-0.030517578125,
0.07080078125,
-0.09375,
-0.07080078125,
0.05224609375,
0.0216064453125,
-0.061279296875,
0.029541015625,
-0.000446319580078125,
0.02197265625,
0.0634765625,
0.019042968... | 13,700,718 | 13700718 | |
How do you find the definite integral of sqrt(y+1)*dy from [-1, 0]? | HIX Tutor
How do you find the definite integral of #sqrt(y+1)*dy# from #[-1, 0]#?
Answer 1
#int_{-1)^0 dy qquad sqrt(y+1)#
this is simply the power rule ie #int du qquad u^n = n^{n+1}/(n+1)#
#=[2/3 (y+1)^(3/2)]_{-1)^0#
#=[2/3 (0+1)^(3/2)] - [2/3... | 5 | [
-0.041259765625,
-0.00025177001953125,
-0.0196533203125,
0.007720947265625,
-0.0179443359375,
-0.10107421875,
-0.041259765625,
0.00482177734375,
0.0057373046875,
-0.023681640625,
-0.0005035400390625,
0.0296630859375,
-0.0244140625,
0.04833984375,
-0.04541015625,
-0.038818359375,
-0.0... | 13,700,719 | 13700719 | |
Log
Lesson 14
Coordinate Proof
14.1: Which One Doesn’t Belong: Coordinate Quadrilaterals (5 minutes)
Warm-up
This warm-up prompts students to compare the graphs of four quadrilaterals. It gives students a reason to use language precisely (MP6). It gives the teacher an opportunity to hear how students use
terminolo... | 4 | [
0.036865234375,
0.0615234375,
0.01611328125,
-0.059814453125,
0.040283203125,
-0.02392578125,
0.036376953125,
-0.04345703125,
0.0673828125,
0.06787109375,
0.061279296875,
-0.0206298828125,
0.08984375,
0.0269775390625,
0.021484375,
-0.004180908203125,
-0.0137939453125,
-0.0173339843... | 13,700,720 | 13700720 | |
ca
PROBLEMAS EVOLUTIVOS EN FISICA E INGENIERIA: TECNICAS DE RESOLUCION ANALITICAS Y NUMERICAS
Nombre agencia financiadora Agencia Estatal de Investigación
Acrónimo agencia financiadora AEI
Programa Programa Estatal de Fomento de la Investigación Científica y Técnica de Excelencia
Subprograma Subprograma Estatal de ... | 4 | [
-0.05078125,
-0.043701171875,
-0.031982421875,
-0.056884765625,
-0.0106201171875,
-0.042236328125,
-0.02392578125,
0.00958251953125,
-0.011962890625,
-0.0042724609375,
0.0255126953125,
-0.02392578125,
0.07568359375,
-0.00165557861328125,
-0.001678466796875,
0.036865234375,
-0.0229492... | 13,700,721 | 13700721 | |
Wireless Sensor Network, 2012, 4, 264-272
http://dx.doi.org/10.4236/wsn.2012.411038 Published Online November 2012 (http://www.SciRP.org/journal/wsn)
A Practical Target Tr acking Technique in Sensor Network
Using Clustering Algorithm
Luke K. Wang, Chien-Chang Wu
Department of Electrical Engineering, National Kaoh... | 4 | [
-0.054931640625,
-0.01519775390625,
-0.0263671875,
0.061767578125,
0.126953125,
-0.056884765625,
0.0986328125,
-0.0537109375,
-0.0283203125,
0.0107421875,
0.0169677734375,
0.00958251953125,
0.03857421875,
-0.0888671875,
-0.044677734375,
-0.0174560546875,
0.0888671875,
-0.0317382812... | 13,700,722 | 13700722 | |
3 Reduction to a once-punctured torus
(1)
Geometry &Topology GGGG GG
GGG GGGGGG T T TTTTTTT TT
TT TT Volume 6 (2002) 541{562
Published: 24 November 2002
Virtual Betti numbers of genus 2 bundles
Joseph D Masters
Mathematics Department, Rice University Houston, TX 77005-1892, USA Email: mastersj@math.rice.edu
Abs... | 4 | [
-0.0869140625,
0.09765625,
0.034423828125,
-0.034423828125,
0.037353515625,
0.014892578125,
0.01904296875,
0.01202392578125,
-0.0244140625,
0.03564453125,
0.0673828125,
-0.0419921875,
-0.0654296875,
-0.00034332275390625,
0.0052490234375,
-0.04833984375,
-0.054931640625,
0.034912109... | 13,700,723 | 13700723 | |
How do you solve (x-1) /3 - (x-1) /2 = 6? | HIX Tutor
How do you solve #(x-1) /3 - (x-1) /2 = 6#?
Answer 1
The easiest method to use to solve equations of this form is to use a common denominator, which in this case is 6. Multiply each individual term in the equation by 6 and then simplify the equation
and solve for... | 4 | [
-0.0732421875,
-0.0255126953125,
0.00112152099609375,
-0.029052734375,
-0.0252685546875,
-0.046142578125,
-0.0272216796875,
-0.00750732421875,
-0.03173828125,
0.01531982421875,
0.04296875,
-0.060546875,
0.033935546875,
-0.045166015625,
-0.023193359375,
0.0037078857421875,
-0.10644531... | 13,700,724 | 13700724 | |
Verify the set with addition and multiplication is a field - Solutions to Linear Algebra Done Right
Verify the set with addition and multiplication is a field
Solution to Linear Algebra Hoffman & Kunze Chapter 1.2 Exercise 1.2.5
Solution: We must check the nine conditions on pages 1-2:
1. An operation is commutativ... | 4 | [
-0.0242919921875,
0.025634765625,
-0.021484375,
0.01190185546875,
-0.03662109375,
-0.042236328125,
0.11279296875,
-0.06787109375,
-0.03515625,
-0.0279541015625,
-0.00604248046875,
-0.0322265625,
0.020263671875,
-0.0361328125,
-0.04638671875,
0.056396484375,
-0.0272216796875,
-0.021... | 13,700,725 | 13700725 | |
er
Problem Model Prompt
P_Inequality_13 GPT-4 Problem C w/o H
Ground Truth Answer: -9
Use in Code
import champ_dataset # "pip install champ-dataset" if necessary
dataset = champ_dataset.load('v0')
problem = dataset['P_Inequality_13']
messages = problem.conversations['GPT-4|Problem C w/o H'].messages
fo... | 5 | [
-0.031982421875,
0.080078125,
0.020263671875,
-0.005767822265625,
-0.02294921875,
0.0203857421875,
0.06396484375,
0.0771484375,
-0.059326171875,
-0.0341796875,
0.03466796875,
-0.023193359375,
0.043701171875,
-0.0194091796875,
-0.03857421875,
0.05322265625,
0.022705078125,
-0.044921... | 13,700,726 | 13700726 | |
The Implementation of Vedic Mathematics to Algebra and Geometry
Contributed by:
This PDF contains :
Abstract,
Keywords,
I. Introduction,
II. Implementation of Vedic Mathematics in algebra,
III. Conclusion
1. IOSR Journal of Mathematics (IOSR-JM)
e-ISSN: 2278-5728, p-ISSN:2319-765X. Volume 10, Issue 2 Ver. VII (Mar-Ap... | 4 | [
-0.07373046875,
0.0218505859375,
-0.029541015625,
-0.060546875,
-0.1796875,
-0.02392578125,
-0.013427734375,
0.01055908203125,
0.005401611328125,
0.051513671875,
-0.00138092041015625,
0.02685546875,
0.023681640625,
0.018310546875,
0.058349609375,
-0.041015625,
-0.0537109375,
0.0324... | 13,700,727 | 13700727 | |
Duckworth/Lewis/Stern made Easy?
Duckworth-Lewis Made Easy?
The Duckworth/Lewis system was invented by two statisticians, Frank Duckworth and Tony Lewis in an attempt to solve the perennial problem of creating a fair target for the si... | 4 | [
0.004852294921875,
0.038818359375,
-0.035888671875,
0.0302734375,
0.07421875,
-0.07421875,
-0.07177734375,
0.0021820068359375,
0.009521484375,
0.046142578125,
-0.09912109375,
-0.0166015625,
0.034912109375,
0.09033203125,
0.0264892578125,
-0.0184326171875,
-0.064453125,
-0.076171875... | 13,700,728 | 13700728 | |
Maple
DEtools[rifsimp] Common Options
Calling Sequence
rifsimp(system, options)
rifsimp(system, vars, options)
Parameters
system - list or set of polynomially nonlinear PDEs or ODEs (may contain inequations)
vars - (optional) list of the main dependent variables
opt... | 5 | [
-0.12060546875,
-0.052001953125,
0.016845703125,
0.020751953125,
0.009521484375,
-0.050048828125,
-0.038818359375,
0.03173828125,
0.006256103515625,
-0.01806640625,
0.07177734375,
0.060546875,
-0.0274658203125,
0.05078125,
0.03125,
0.00201416015625,
-0.05517578125,
0.00921630859375... | 13,700,729 | 13700729 | |
The Nonlinear Integer/Continuous Programming Solver Applied to Return on Investment Problem
Jsun Yui Wong
The computer program listed below seeks to solve the following equation taken from Rice [16, p. 385]:
20/Y^15+36/Y^25+40/Y^33+475/Y^40-1.12*(Y^40-1)/(X(1)*Y^40)-6/Y^4-3/Y^8-4.5 =0,
where Y=1+X(1)
0 REM DEFDBL A-... | 4 | [
-0.083984375,
0.03662109375,
-0.035400390625,
0.01556396484375,
-0.0546875,
0.0004024505615234375,
-0.0023193359375,
0.0025482177734375,
-0.046142578125,
0.042724609375,
0.044677734375,
-0.0120849609375,
0.042236328125,
0.02685546875,
-0.015380859375,
0.0703125,
-0.06005859375,
0.0... | 13,700,730 | 13700730 | |
When we calculate metrics for our machine learning algorithm, there’s no doubt we study the confusion matrix likelihood ratios as a part of it. In machine learning, a confusion matrix, which is also
known as an error matrix, is a specific matrix-like layout that allows visualization of the performance of the algorithm... | 4 | [
0.037109375,
-0.09423828125,
-0.039306640625,
-0.047607421875,
-0.024658203125,
-0.09375,
0.00311279296875,
0.030517578125,
0.07421875,
-0.02783203125,
0.025146484375,
-0.024658203125,
0.030517578125,
-0.030517578125,
-0.07177734375,
-0.0206298828125,
0.00112152099609375,
0.0683593... | 13,700,731 | 13700731 | |
Get Expert Poker Advice from a Professional
Conditional Probability
I was reading an article recently about the enormous Powerball Jackpot which said that you are 25 times more likely to win an Academy Award(25 million to 1) then to win the Powerball Jackpot (175
million to 1). I dislike it when writers use statistic... | 4 | [
0.017333984375,
0.02197265625,
-0.01055908203125,
-0.024658203125,
-0.042236328125,
0.046142578125,
0.037353515625,
0.057861328125,
0.04150390625,
0.021484375,
-0.1162109375,
-0.08935546875,
0.08935546875,
0.00836181640625,
-0.0228271484375,
0.01171875,
0.033447265625,
-0.061523437... | 13,700,732 | 13700732 | |
scale analysis
Multiple scale analysis
From Scholarpedia
Carson C. Chow (2007), Scholarpedia, 2(10):1617. doi:10.4249/scholarpedia.1617 revision #153174 [link to/cite this article]
Multiple-scale analysis is a global perturbation scheme that is useful in systems characterized by disparate time scales, such as weak ... | 5 | [
-0.03955078125,
0.000759124755859375,
0.0169677734375,
0.011474609375,
-0.031494140625,
-0.0294189453125,
-0.1103515625,
0.0537109375,
0.107421875,
-0.0712890625,
0.02978515625,
0.0087890625,
-0.04248046875,
0.05615234375,
-0.0103759765625,
-0.0281982421875,
-0.1044921875,
0.134765... | 13,700,733 | 13700733 | |
Understanding Statistical Analysis and Modeling
February 2018 | 440 pages | SAGE Publications, Inc
Understanding Statistical Analysis and Modeling is a text for graduate and advanced undergraduate students in the social, behavioral, or managerial sciences seeking to understand the logic of
statistical analysis. Rober... | 4 | [
0.07080078125,
-0.04931640625,
0.0177001953125,
0.032470703125,
-0.032470703125,
-0.005706787109375,
0.0167236328125,
0.0810546875,
0.0869140625,
0.056396484375,
-0.0023040771484375,
0.021728515625,
0.04150390625,
-0.047119140625,
-0.0107421875,
-0.06689453125,
-0.024658203125,
-0.... | 13,700,734 | 13700734 | |
How to use the ISPMT function
What is the ISPMT function?
The ISPMT function calculates the interest paid during a specific period of an investment.
1. Introduction
What is the difference between the IPMT function and the ISPMT function?
The IPMT function lets you also specify a future value [fv] and when the payme... | 5 | [
-0.05078125,
0.025146484375,
0.0172119140625,
-0.0361328125,
0.028076171875,
-0.0247802734375,
0.0108642578125,
0.1259765625,
0.078125,
0.05810546875,
-0.0191650390625,
0.0111083984375,
-0.0615234375,
-0.0076904296875,
0.000583648681640625,
0.004302978515625,
-0.06298828125,
-0.027... | 13,700,735 | 13700735 | |
Despite the title which is a bit obscure, this talk has been very clear and entertaining. The speaker Jarek Ratajski (@jarek000000) who defines himself as a functional programmer, wizard, and
anarchitect, definitively knows his art and how to make an engaging speech.
Btw, an anarchitect is a person that breaks the ru... | 5 | [
-0.03271484375,
0.0272216796875,
-0.0037994384765625,
-0.053466796875,
-0.030517578125,
-0.044921875,
0.051025390625,
-0.0238037109375,
-0.0537109375,
0.018798828125,
-0.062255859375,
-0.06005859375,
-0.06005859375,
0.062255859375,
-0.0019683837890625,
0.03955078125,
0.006591796875,
... | 13,700,736 | 13700736 | |
Complement of a Set - Definition, Properties, Examples
A day full of math games & activities. Find one near you.
A day full of math games & activities. Find one near you.
A day full of math games & activities. Find one near you.
A day full of math games & activities. Find one near you.
Complement of a Set
The comp... | 4 | [
0.0052490234375,
0.060302734375,
0.078125,
-0.037109375,
-0.04931640625,
0.01007080078125,
0.1259765625,
0.051025390625,
0.00689697265625,
0.020751953125,
-0.03759765625,
-0.1103515625,
0.0517578125,
-0.10595703125,
0.087890625,
0.0013427734375,
0.046142578125,
-0.050048828125,
-... | 13,700,737 | 13700737 | |
Knowing and understanding these terms help you to speak the same language as your lender. They help you to succeed at decoding the requirements of your lenders, and offer you different insights into
what you need to change in order to make yourself more appealing to them.
Debt Coverage Ratio – DCR
The properties in ... | 4 | [
0.0020904541015625,
-0.0390625,
-0.072265625,
-0.02001953125,
0.00897216796875,
-0.018798828125,
-0.05712890625,
0.043212890625,
-0.0284423828125,
-0.012939453125,
-0.00537109375,
-0.0576171875,
-0.040283203125,
0.021728515625,
-0.0067138671875,
0.035400390625,
0.014892578125,
0.03... | 13,700,738 | 13700738 | |
VLSI Concepts
Static Timing analysis is divided into several parts:
Now the question is: What is Wire Load Models (WLM).
Wire loading models
• Used to estimate the interconnect wire delay during pre-layout in a design cycle.
• Wire load information is based on statistics from physical layout parasitic
... | 4 | [
0.0262451171875,
0.0771484375,
-0.0036468505859375,
0.0703125,
0.01953125,
-0.019287109375,
-0.0361328125,
0.06103515625,
0.0673828125,
-0.036865234375,
0.017578125,
0.0059814453125,
-0.00994873046875,
-0.032958984375,
-0.0216064453125,
-0.003814697265625,
0.083984375,
-0.018310546... | 13,700,739 | 13700739 | |
How do you use the definition of continuity and the properties of limits to show the function is continuous F(x)= (x^2-8)^8 on the interval (-inf, inf)? | Socratic
How do you use the definition of continuity and the properties of limits to show the function is continuous #F(x)= (x^2-8)^8# on the interval (-inf, inf)?
... | 4 | [
0.0185546875,
0.042236328125,
-0.005889892578125,
0.0128173828125,
-0.041748046875,
0.07421875,
0.01544189453125,
0.130859375,
-0.004119873046875,
-0.0186767578125,
0.1044921875,
0.0208740234375,
0.036865234375,
0.04541015625,
-0.0185546875,
0.044677734375,
0.0262451171875,
-0.0776... | 13,700,740 | 13700740 | |
A coil of inductance 300mh and resistance 2Omega is connected to a sou
A coil of inductance 300mh and resistance 2Ω is connected to a source of voltage 2V. The current reaches half of its steady state value is
The correct Answer is:D
i=i0(1−e−t/τ)
τ=LR=300×10−32=0.15
⇒i02=i0(1−e−t/0.15)
⇒e−t0.15=12⇒−t0.15ln (e) =ln(1... | 5 | [
-0.053466796875,
0.11767578125,
-0.048828125,
-0.02978515625,
0.0634765625,
-0.007293701171875,
0.000782012939453125,
0.080078125,
0.0028076171875,
0.0142822265625,
0.0693359375,
-0.07177734375,
0.037353515625,
0.0135498046875,
0.00543212890625,
0.0634765625,
-0.044677734375,
-0.00... | 13,700,741 | 13700741 | |
Tarjans Algorithm - The Algorithms
package com.thealgorithms.datastructures.graphs;
import java.util.ArrayList;
import java.util.List;
import java.util.Stack;
/**
* Java program that implements Tarjan's Algorithm to find Strongly Connected Components (SCCs) in a directed graph.
*
* <p>
* Tarjan's algorithm is a l... | 4 | [
-0.045654296875,
0.0125732421875,
-0.0498046875,
-0.0118408203125,
0.07373046875,
-0.08740234375,
-0.046875,
0.0133056640625,
-0.03369140625,
-0.00994873046875,
-0.04833984375,
0.042236328125,
0.0299072265625,
-0.012451171875,
-0.0211181640625,
0.0118408203125,
0.028564453125,
0.06... | 13,700,742 | 13700742 | |
None
added this pointer:
• Dai Tamaki, Akira Kono, Section 3.9 in: Generalized Cohomology, Translations of Mathematical Monographs, American Mathematical Society, 2006 (ISBN: 978-0-8218-3514-2)
diff, v8, current
Next, I’d like to refine this statement to finite-stage orientations:
It ought to be true that a quate... | 4 | [
-0.08251953125,
0.06005859375,
0.06689453125,
-0.019775390625,
-0.0263671875,
0.07080078125,
-0.04931640625,
0.0184326171875,
0.00787353515625,
-0.08056640625,
0.1376953125,
-0.0208740234375,
-0.028076171875,
-0.049560546875,
-0.0108642578125,
0.0228271484375,
-0.10595703125,
0.026... | 13,700,743 | 13700743 | |
Which Of The Following Equations Results In No Solutions? A 3(v + 5) = 2v - 4 + V B 3(v + 5) = 2v + 15
Answer:
[tex]\boxed{\sf A) \:3(v + 5) = 2v - 4 + v}[/tex]
Step-by-step explanation:
[tex]\sf A )\:3(v + 5) = 2v - 4 + v[/tex]
Combine like terms:
[tex]\sf 3\left(v+5\right)=3v-4[/tex]
Expand:
[tex]\sf 3v+15=3v-... | 4 | [
-0.09912109375,
0.0712890625,
-0.005523681640625,
0.02099609375,
0.052978515625,
0.068359375,
-0.0625,
-0.06396484375,
0.032958984375,
-0.018310546875,
0.04833984375,
-0.099609375,
-0.03466796875,
0.054443359375,
-0.006622314453125,
0.01507568359375,
-0.0966796875,
0.0262451171875,... | 13,700,744 | 13700744 | |
(a+b)^2=a^2+b^2 Matrix Find A And B
Finding Matrices A and B given (A+B)^2 = A^2 + B^2
This problem explores a special case in matrix algebra where the square of the sum of two matrices equals the sum of their squares. It's important to understand that this doesn't hold true for all
matrices, unlike in regular algebra... | 5 | [
-0.049560546875,
0.018310546875,
-0.053955078125,
0.0654296875,
-0.0478515625,
0.0218505859375,
-0.004608154296875,
-0.1259765625,
0.0040283203125,
-0.0228271484375,
0.056884765625,
0.006072998046875,
0.003692626953125,
0.04443359375,
0.0137939453125,
0.06201171875,
-0.0693359375,
... | 13,700,745 | 13700745 | |
roup
A brief introduction to fractional calculus
Disclaimer: what follows assumes familiarity with calculus (in particular with derivatives and integrals). This is also no substitute for a proper textbook, as we will be very hand-weavy and skip a
lot of details. If you are looking for a more complete and rigorous intr... | 4 | [
-0.04833984375,
-0.0546875,
0.056640625,
0.045166015625,
-0.048583984375,
-0.036865234375,
-0.03759765625,
0.020751953125,
0.0244140625,
0.0546875,
0.03173828125,
0.07080078125,
-0.0390625,
-0.00164794921875,
-0.061279296875,
-0.01708984375,
-0.0274658203125,
0.072265625,
-0.0317... | 13,700,746 | 13700746 | |
Modeling and Experimental Tools with Prof. Magnes
Gauss-Seidel Method Applications: Fluid Flow
My Computational Physics final project models fluid flow by relying on the analogous relationship between Electric Potential and Velocity Potential as solved through Laplace’s Equation. I used the
Gauss-Seidel Method to mode... | 4 | [
-0.1318359375,
-0.034912109375,
0.0693359375,
-0.046875,
0.0140380859375,
-0.035400390625,
-0.0017242431640625,
0.0419921875,
-0.006988525390625,
-0.10498046875,
-0.06884765625,
-0.0223388671875,
0.03173828125,
-0.0032501220703125,
-0.08251953125,
-0.04736328125,
-0.0556640625,
0.0... | 13,700,747 | 13700747 | |
How do you solve -3 + \frac{1}{x+1}=\frac{2}{x} by finding the least common multiple? | Socratic
How do you solve #-3 + \frac{1}{x+1}=\frac{2}{x}# by finding the least common multiple?
1 Answer
Explanation:
Given that
$- 3 + \frac{1}{x + 1} = \frac{2}{x}$
$- 3 + \frac{1}{x + 1} - \frac{2}{x} = 0$
$\frac{- 3 x \le... | 4 | [
-0.06591796875,
-0.04345703125,
0.03955078125,
0.035400390625,
0.036376953125,
0.021240234375,
-0.00421142578125,
0.028564453125,
0.03955078125,
-0.026123046875,
0.039306640625,
-0.0673828125,
0.07568359375,
0.029296875,
-0.056884765625,
-0.0927734375,
0.00213623046875,
-0.03491210... | 13,700,748 | 13700748 | |
NECO Mathematics Questions And Answers For 2023 | Theories And Objectives - Emonprime
NECO Mathematics Questions And Answers For 2023 | Theories And Objectives
NECO Mathematics Questions and Answers for 2023 Theories and Objectives.
This article is all about the 2023 NECO Mathematics questions and answers; the kind o... | 4 | [
-0.07861328125,
-0.0037994384765625,
0.0181884765625,
-0.03662109375,
-0.07470703125,
-0.024658203125,
-0.043212890625,
0.05615234375,
-0.059814453125,
0.031982421875,
-0.0390625,
-0.056396484375,
-0.020263671875,
0.059814453125,
-0.0079345703125,
-0.03466796875,
0.0025634765625,
-... | 13,700,749 | 13700749 | |
Find the zeros of the function.Enter the solutions - Asksia.ai
Answer from Sia
Posted 6 months ago
Solution by Steps
step 1
To find the zeros of the function $g(x) = -10x^2 + 490$, set the function equal to zero: $-10x^2 + 490 = 0$
step 2
Divide both sides of the equation by $-10$ to simplify: $x^2 - 49 = 0$
ste... | 4 | [
-0.08447265625,
0.0439453125,
0.042236328125,
0.016357421875,
-0.006683349609375,
0.055419921875,
-0.0220947265625,
0.047607421875,
-0.02392578125,
0.048095703125,
0.07666015625,
0.00347900390625,
0.0301513671875,
0.04248046875,
-0.0201416015625,
-0.0164794921875,
-0.0322265625,
0.... | 13,700,750 | 13700750 | |
None
A recent thread compared the capability of the HP-67 and the SR-52. While looking through the HP-67 Owner's Handbook and Programming Guide I found the following statement on page 109
Quote: "..Unlike storage register arithmetic, the Sum+ function allows overflows (i.e., numbers whose magnitudes are greater th... | 5 | [
-0.05712890625,
-0.0283203125,
-0.08740234375,
0.021240234375,
-0.07568359375,
0.0150146484375,
-0.07470703125,
0.103515625,
-0.02001953125,
-0.007781982421875,
-0.030029296875,
0.030029296875,
0.0086669921875,
-0.0198974609375,
-0.0220947265625,
-0.06005859375,
-0.0400390625,
-0.0... | 13,700,751 | 13700751 | |
First and Second Piola Kirchhoff Stress Tensors
Stress: First and Second Piola Kirchhoff Stress Tensors
Definitions
The Cauchy stress tensor defined previously, related area vectors n to traction vectors Nanson’s formula:
The blue vectors in Figure 1 show a schematic of two undeformed unit area vectors
Using Nanson... | 5 | [
-0.0869140625,
-0.051025390625,
-0.03173828125,
-0.026123046875,
0.038818359375,
0.033203125,
0.00830078125,
0.054931640625,
0.014404296875,
-0.041748046875,
0.034423828125,
-0.048583984375,
-0.004852294921875,
0.018310546875,
-0.0028228759765625,
-0.01171875,
-0.11767578125,
0.047... | 13,700,752 | 13700752 | |
Subnetting IP Networks
It sometimes amazes me that people get so worked up about subnetting, because it really is quite simple. First of all, you need to recognize that in order to really understand subnetting (at least
starting off), looking at the numbers in decimal notation makes very little sense. You need to be l... | 4 | [
0.08154296875,
-0.029541015625,
0.0167236328125,
-0.0361328125,
-0.0517578125,
-0.01336669921875,
-0.01080322265625,
-0.01531982421875,
0.0223388671875,
-0.056640625,
-0.08447265625,
-0.031005859375,
0.0361328125,
-0.0301513671875,
-0.06201171875,
0.031494140625,
-0.052734375,
-0.0... | 13,700,753 | 13700753 | |
Square Root of 576 - Methods to Find Square Root, Solved Examples and Important FAQs
What is the Square Root of 576?
In Mathematics, the square root of 576 is a value which when multiplied by itself gives the number 576. For example, 24 × 24 = 576. Accordingly, the square root of 576 is 24. Therefore, we can say
the v... | 4 | [
0.0216064453125,
0.040771484375,
-0.06396484375,
0.062255859375,
-0.044921875,
0.050048828125,
-0.0673828125,
0.0693359375,
0.00811767578125,
0.0537109375,
0.02099609375,
0.1181640625,
0.003173828125,
-0.0130615234375,
-0.016357421875,
-0.05908203125,
-0.1728515625,
0.038330078125,... | 13,700,754 | 13700754 | |
Theorem 6.2 - Class 9 - Alternate interior angles are equal
Theorem 6.2 - Chapter 6 Class 9 Lines and Angles
Last updated at April 16, 2024 by Teachoo
Transcript
Theorem 6.2 :- If a transversal intersects two parallel lines, then each pair of alternate interior angles are equal. Given :- Two parallel lines AB and CD... | 4 | [
-0.134765625,
0.0224609375,
0.05615234375,
-0.0201416015625,
-0.0791015625,
0.03662109375,
0.0654296875,
0.037841796875,
-0.00604248046875,
0.034912109375,
0.0078125,
-0.05224609375,
0.0458984375,
-0.01416015625,
0.0289306640625,
-0.018310546875,
-0.10791015625,
-0.006439208984375,... | 13,700,755 | 13700755 | |
Contents
Five transformations for frequency data, including species abundances, have been described by
Legendre and Gallagher (2001)
. The program (distribution: see below) converts a matrix of species abundances in such a way that the Euclidean distance among rows of the transformed matrix is equal to one of the f... | 5 | [
0.057373046875,
0.016357421875,
-0.0986328125,
-0.04345703125,
-0.08203125,
0.0277099609375,
-0.07080078125,
-0.0654296875,
-0.040771484375,
0.043212890625,
0.1318359375,
-0.10498046875,
-0.0146484375,
0.03759765625,
-0.0240478515625,
0.05224609375,
-0.002960205078125,
-0.006011962... | 13,700,756 | 13700756 | |
ross-validated direct forecasting model
cvpredict
Predict response using cross-validated direct forecasting model
Since R2023b
Description
predictedY = cvpredict(CVMdl) predicts the test data response using the cross-validated direct forecasting model CVMdl. For each partition window in CVMdl.Partition and each hor... | 5 | [
-0.052978515625,
-0.0498046875,
-0.012451171875,
0.08056640625,
0.09765625,
-0.015380859375,
-0.10107421875,
0.07421875,
-0.044189453125,
-0.044677734375,
-0.1416015625,
-0.07421875,
-0.024169921875,
0.0233154296875,
-0.051025390625,
-0.08642578125,
-0.052978515625,
-0.018188476562... | 13,700,757 | 13700757 | |
Partial derivatives | JustToThePointPartial derivatives
And yet despite the look on my face, you’re still talking and thinking that I care, Anonymous
Recall
Definition. A vector $\vec{AB}$ is a geometric object or quantity that has both magnitude (or length) and direction. Vectors in an n-dimensional Euclidean sp... | 5 | [
-0.002105712890625,
-0.061279296875,
-0.031005859375,
-0.0634765625,
-0.0054931640625,
-0.04443359375,
-0.058349609375,
0.02392578125,
0.07568359375,
0.07958984375,
0.048095703125,
0.059326171875,
0.0247802734375,
-0.0234375,
-0.08447265625,
0.006866455078125,
-0.028076171875,
-0.0... | 13,700,758 | 13700758 | |
Inverse Square Law
What is Inverse Square Law?
Wikipedia describes Inverse Square Law as this:
“ In physics, an inverse-square law is any physical law stating that a specified physical quantity or intensity is inversely proportional to the square of the distance from the source of that „
physical quantity.
A... | 5 | [
0.0517578125,
0.095703125,
0.009521484375,
0.072265625,
-0.01263427734375,
-0.12158203125,
-0.004180908203125,
0.056396484375,
0.050537109375,
0.0181884765625,
-0.038330078125,
0.002685546875,
0.01708984375,
0.019287109375,
-0.0220947265625,
-0.00102996826171875,
0.076171875,
0.045... | 13,700,759 | 13700759 | |
Science:Math Exam Resources/Courses/MATH103/April 2014/Question 10 (b)
MATH103 April 2014
• Q1 (a) • Q1 (b) i • Q1 (b) ii • Q1 (c) i • Q1 (c) ii • Q1 (c) iii • Q1 (d) i • Q1 (d) ii • Q1 (d) iii • Q1 (e) i • Q1 (e) ii • Q2 (a) • Q2 (b) • Q3 (a) • Q3 (b) • Q3 (c) • Q4 (a) • Q4 (b) • Q4 (c)
• Q5 (a) • Q5 (b) • Q5 (c) • ... | 5 | [
-0.03857421875,
-0.0247802734375,
0.01373291015625,
-0.0306396484375,
-0.0791015625,
0.04638671875,
-0.04296875,
-0.00726318359375,
-0.00457763671875,
0.045654296875,
-0.0654296875,
-0.050048828125,
-0.004119873046875,
0.0732421875,
-0.062255859375,
0.015625,
-0.07275390625,
0.0336... | 13,700,760 | 13700760 | |
Killing vector field explained
In mathematics, a Killing vector field (often called a Killing field), named after Wilhelm Killing, is a vector field on a Riemannian manifold (or pseudo-Riemannian manifold) that preserves the
metric. Killing fields are the infinitesimal generators of isometries; that is, flows generat... | 4 | [
-0.03515625,
-0.0111083984375,
0.053955078125,
-0.078125,
0.01055908203125,
0.0030975341796875,
0.04248046875,
-0.056884765625,
0.09033203125,
0.016845703125,
0.001556396484375,
0.06103515625,
-0.07177734375,
-0.04296875,
-0.029541015625,
0.017578125,
-0.07080078125,
0.055908203125... | 13,700,761 | 13700761 | |
Task 1: (5 marks)
Identify the numbers and buttons you would press on your calculator. Showing the steps in reaching your answer (2 decimal places), explain in words how you would calculate the following:
1. 2.96= Step 1= Pressing the first numeral 2 on the calculator.
Step 2= Identification and pressing of th... | 4 | [
-0.01104736328125,
0.0203857421875,
-0.006500244140625,
-0.0205078125,
-0.0279541015625,
-0.056640625,
-0.0263671875,
0.07470703125,
0.006927490234375,
0.0166015625,
0.035888671875,
-0.1015625,
0.060302734375,
0.001983642578125,
-0.000675201416015625,
0.03515625,
-0.10302734375,
0.... | 13,700,762 | 13700762 | |
IntroductionChaotic Mapping for Image Encryption2D-SIMM ModelCharacteristics of Chaotic MapLyapunov ExponentPhase DiagramPhase diagram of 2D-SIMMStructure of the Secret KeySecret key structuresChaotic Shift TransformProposed Image Encryption AlgorithmEncryption flowchart for one roundRow EncryptionColumn EncryptionDecr... | 4 | [
0.01495361328125,
0.046875,
-0.042724609375,
-0.052734375,
-0.05419921875,
-0.03662109375,
-0.03515625,
0.035400390625,
0.056396484375,
-0.0283203125,
0.00958251953125,
-0.0181884765625,
0.09619140625,
-0.00946044921875,
-0.031494140625,
-0.052734375,
-0.1005859375,
0.05517578125,
... | 13,700,763 | 13700763 | |
How to Solve Equations Using Particle, Volume, and Mass Conversion - dummies
Real reagents (reactants) tend to be measured in units of mass or volume. Real products are measured in the same way. So you need to be able to use mole-mass, mole-volume, and mole-particle
conversion factors to translate between these differ... | 4 | [
0.0439453125,
-0.06005859375,
-0.0079345703125,
0.0771484375,
-0.031494140625,
0.049072265625,
0.00909423828125,
0.0289306640625,
0.01806640625,
0.004791259765625,
-0.004119873046875,
-0.09326171875,
0.0223388671875,
0.04248046875,
-0.0284423828125,
-0.0167236328125,
-0.07080078125,
... | 13,700,764 | 13700764 | |
Diversification: The Market’s “Gift”
Overview
Diversification is generally understood, but the math is often lost on the less informed. This installment attempts to explain the math involved and point out the flaws in some “rule-of-thumb”
approaches or, perhaps even more flawed, the “look-through approach.”
Some His... | 5 | [
0.033935546875,
0.0186767578125,
0.0458984375,
0.029296875,
0.058349609375,
0.0283203125,
0.03125,
0.012451171875,
-0.06103515625,
-0.010498046875,
-0.0205078125,
0.10107421875,
0.0712890625,
0.00482177734375,
-0.06494140625,
0.0123291015625,
-0.10498046875,
-0.013916015625,
-0.0... | 13,700,765 | 13700765 | |
Project Euler 117
I enjoy solving Project Euler problems in my downtime. Problem 117 is one that I’ve looked at multiple times, but never came up with a good solution. The premise is easy enough, but, as with most
Euler problems, the scale of the problem presents issues.
Using a combination of grey square tiles a... | 4 | [
-0.02001953125,
0.1064453125,
0.01708984375,
-0.103515625,
-0.078125,
-0.0458984375,
-0.01153564453125,
-0.015869140625,
-0.08447265625,
0.038330078125,
-0.04931640625,
-0.052490234375,
0.0245361328125,
0.08544921875,
-0.068359375,
-0.0031280517578125,
-0.029541015625,
0.0673828125... | 13,700,766 | 13700766 | |
bbempoisson
This function is not yet fully documented. This is a transcript of the text-formatted help.
bbempoisson Solve a non-negative system with Poisson noise
X=bbempoisson(A,B) use the iterative Expectation Maximization (EM)
algorithm of K. Lange and R. Carson to find a Maximum Likelihood (ML)
solution... | 4 | [
-0.0172119140625,
-0.03466796875,
0.0257568359375,
-0.0216064453125,
-0.06689453125,
-0.095703125,
0.05322265625,
-0.057861328125,
0.050048828125,
-0.009765625,
0.0257568359375,
0.025634765625,
0.11083984375,
-0.00015735626220703125,
-0.0341796875,
0.03466796875,
0.080078125,
0.013... | 13,700,767 | 13700767 | |
Classify the following number as rational and irrational. \
Hint: Here, we will find the number whether rational or irrational. First we will find the square root of the given number and then we will use the definition to find whether the number is rational
or irrational. A rational number is defined as a number which ... | 4 | [
0.072265625,
0.03564453125,
-0.04541015625,
0.01226806640625,
-0.0771484375,
-0.0024566650390625,
0.044921875,
0.0130615234375,
0.01318359375,
-0.056640625,
-0.05029296875,
-0.03369140625,
0.0859375,
0.09130859375,
0.0072021484375,
-0.0771484375,
-0.033203125,
0.0174560546875,
-0... | 13,700,768 | 13700768 | |
[This issue is not complete: submissions are welcome until September 1st, 2024]
In this paper we systematically consider various ways of generating integrable and separable Hamiltonian systems in canonical and in non-canonical representations from algebraic curves on the
plane. In particular, we consider Stäc... | 4 | [
-0.11328125,
-0.07470703125,
0.00885009765625,
0.03662109375,
-0.05126953125,
0.00445556640625,
-0.002288818359375,
0.00009918212890625,
0.03955078125,
-0.09814453125,
0.0859375,
-0.033447265625,
-0.046630859375,
0.049072265625,
0.035400390625,
0.0556640625,
-0.1279296875,
0.016601... | 13,700,769 | 13700769 | |
What is the error in the students reasoning below ? describe-Turito
Are you sure you want to logout?
Question
What is the error in the student’s reasoning below ? Describe how to correct the statement ?
When the difference between 2 consecutive output values (y values) for a given constant change in the input values... | 4 | [
-0.037841796875,
0.030029296875,
-0.03369140625,
-0.0150146484375,
-0.0264892578125,
-0.03857421875,
-0.03759765625,
-0.0242919921875,
0.0016021728515625,
0.04541015625,
0.12109375,
0.033447265625,
0.036865234375,
0.01556396484375,
-0.0250244140625,
0.046142578125,
-0.06396484375,
... | 13,700,770 | 13700770 | |
How to Find Amplitude and Period of sine and cosine Functions
HOW TO FIND AMPLITUDE AND PERIOD OF SINE AND COSINE FUNCTIONS
A periodic function is one which repeats itself over and over in horizontal direction.
What is period ?
The period of a periodic function is the length of one repetition or cycle
What is ampli... | 4 | [
-0.06591796875,
-0.0184326171875,
0.02587890625,
-0.0947265625,
-0.046875,
0.10009765625,
0.0002727508544921875,
-0.00360107421875,
0.0252685546875,
-0.0230712890625,
0.057373046875,
-0.068359375,
0.027587890625,
-0.004974365234375,
0.034912109375,
0.04541015625,
-0.06396484375,
-0... | 13,700,771 | 13700771 | |
ent
Highlights
□ Analytical models developed using field traffic data can be utilized with acceptable confidence to reliably represent, predict, and evaluate the operational characteristics of the highway
systems.
□ Establishing a model to estimate the stochastic evolution of traffic conditions is ... | 4 | [
0.01287841796875,
-0.09375,
0.107421875,
-0.0101318359375,
-0.02001953125,
-0.022216796875,
-0.002716064453125,
0.054931640625,
-0.00885009765625,
-0.01458740234375,
-0.02978515625,
0.0213623046875,
0.037109375,
0.004486083984375,
0.0023956298828125,
0.008544921875,
0.031005859375,
... | 13,700,772 | 13700772 | |
Mathematical geometrical fitting: Automatic measurement algorithm case studies
In this post, practical case studies of algorithm implementations for automatic geometrical perpendicularity and cutting tool measurements are presented.
In this post, practical case studies of algorithm implementations for automatic geome... | 4 | [
-0.07080078125,
0.037841796875,
0.02978515625,
-0.078125,
-0.10546875,
-0.0810546875,
-0.0133056640625,
-0.031005859375,
0.0245361328125,
0.030029296875,
-0.00360107421875,
-0.0301513671875,
-0.03076171875,
0.0869140625,
-0.0771484375,
-0.033203125,
-0.04052734375,
0.06005859375,
... | 13,700,773 | 13700773 | |
Find the area bounded by the ellipse and the ordinates x = ae and x = 0, where b 2 = a 2 (1 - e 2 ) and e<1.
Given equations are:
...... (1)
And x = ae, x = 0 ...... (2)
equation (1) represents an eclipse that is symmetrical about the x - axis and also about the y - axis, with center at origin and passes through (±a... | 5 | [
0.040283203125,
0.064453125,
0.09375,
-0.0654296875,
0.00970458984375,
-0.09326171875,
0.00518798828125,
0.01806640625,
0.021728515625,
-0.06103515625,
0.04541015625,
-0.035400390625,
-0.023681640625,
-0.00994873046875,
0.05224609375,
0.07421875,
-0.0057373046875,
0.025146484375,
... | 13,700,774 | 13700774 | |
Skolits Corp. issued 15-year bonds 2 years ago at a coupon rate
of 8.8 percent. The...
Skolits Corp. issued 15-year bonds 2 years ago at a coupon rate of 8.8 percent. The...
Skolits Corp. issued 15-year bonds 2 years ago at a coupon rate of 8.8 percent. The bonds make semiannual payments. If these bonds currently sell... | 5 | [
-0.060302734375,
0.0301513671875,
-0.09033203125,
-0.064453125,
0.0264892578125,
-0.0986328125,
-0.0322265625,
0.16015625,
-0.000751495361328125,
-0.039794921875,
0.087890625,
-0.04052734375,
-0.07568359375,
0.07080078125,
0.0556640625,
0.0118408203125,
-0.034423828125,
0.009277343... | 13,700,775 | 13700775 | |
PPT - Energy, Energy, Energy PowerPoint Presentation, free download - ID:1526948
1. Energy, Energy, Energy • Worldwide efforts to reduce energy consumption • People can conserve. Large percentage savings possible, but each individual has small total impact • Industry can
conserve. Larger potential impact because o... | 4 | [
-0.06884765625,
0.0556640625,
0.048583984375,
0.07958984375,
0.01708984375,
-0.09228515625,
-0.0164794921875,
0.06640625,
-0.052734375,
0.06298828125,
-0.0712890625,
0.0179443359375,
0.017578125,
0.00933837890625,
0.037109375,
0.05517578125,
0.045166015625,
-0.07275390625,
0.0054... | 13,700,776 | 13700776 | |
Efficient solvers for Richards' equation
Master thesis
Utgivelsesdato
2023-01-20
Sammendrag
In this thesis we have sought to solve Richards’ equation. In time we applied a backward Euler discretization and in space we used a continuous Galerkin finite element discretization. The focal point
was how to efficiently ... | 4 | [
-0.0927734375,
0.08984375,
-0.01043701171875,
0.03564453125,
0.0186767578125,
-0.037841796875,
-0.01458740234375,
0.00494384765625,
-0.0277099609375,
0.0247802734375,
-0.00168609619140625,
-0.0191650390625,
0.021484375,
-0.03466796875,
-0.030517578125,
-0.0216064453125,
-0.0375976562... | 13,700,777 | 13700777 | |
Chapter 1 Linear Models
Example A.1.1.
Steve bought a Blu-Ray player for $269 and a number of discs at $14 each. Write an expression for Steve’s total bill, \(B\) (before tax), in terms of the number of discs he bought, \(d\text{.}\)
Solution.
We want an equation of the form
\begin{equation*} B = \text{starting val... | 4 | [
-0.026123046875,
0.048583984375,
0.004852294921875,
-0.044677734375,
-0.0302734375,
0.10693359375,
0.0045166015625,
0.064453125,
0.019287109375,
0.146484375,
0.119140625,
-0.0283203125,
0.08984375,
0.05029296875,
0.00012302398681640625,
0.10302734375,
-0.04736328125,
-0.02319335937... | 13,700,778 | 13700778 | |
Introduction to the WRI Package
Matthew Coleman, Lucy Liu and Alexander Petersen
The Wasserstein Regression Inference (WRI) package performs statistical inference in density regression, in which the response is a one-dimensional probability density and predictors are scalars. The
package implements methods proposed i... | 5 | [
-0.0125732421875,
-0.09765625,
-0.0169677734375,
0.0859375,
0.042236328125,
0.006683349609375,
-0.012451171875,
0.0306396484375,
-0.030029296875,
-0.027099609375,
0.0164794921875,
-0.09228515625,
-0.0281982421875,
0.04833984375,
-0.07763671875,
-0.04150390625,
0.052734375,
-0.04980... | 13,700,779 | 13700779 | |
. Suppose an economy is represented by the following
equations.
Consumption
function &nb
. Suppose an economy is represented by the following equations. Consumption function &nb
. Suppose an economy is represented by the following equations.
Consumption function C = 200 + 0.8Yd
Planned inv... | 5 | [
0.00262451171875,
0.0108642578125,
0.01904296875,
-0.0230712890625,
0.047119140625,
0.00726318359375,
0.0439453125,
0.1201171875,
0.01190185546875,
0.0751953125,
-0.0026702880859375,
-0.0164794921875,
0.055419921875,
-0.056396484375,
0.023681640625,
0.017333984375,
0.0294189453125,
... | 13,700,780 | 13700780 | |
Design
Finite-Element Structural Analysis:
A New Tool for Bicycle Frame Design
The Strain Energy Design Method
by Leisha A. Peterson and Kelly J. Londry
Scanned and OCR from:
Bike Tech
Bicycling Magazine's Newsletter for the Technical Enthusiast
SUMMER 1986 VOLUME 5, NUMBER 2
IN THIS ISSUE
DESIGN
The structural desi... | 4 | [
-0.046142578125,
0.146484375,
-0.0081787109375,
-0.00013637542724609375,
-0.0030670166015625,
-0.055908203125,
-0.0067138671875,
0.00909423828125,
-0.052001953125,
-0.0174560546875,
-0.0966796875,
0.04736328125,
0.060302734375,
-0.0201416015625,
-0.09375,
0.002197265625,
0.0047607421... | 13,700,781 | 13700781 | |
Laplace Transform of sin2t/t - Mathstoon
The Laplace transform of sin2t/t is equal to tan^-1(2/s). In this article, we will learn how to find the Laplace of sin2t/t. The Laplace transform formula of sin2t/t is given as follows:
L{sin2t/t} = tan^-1(2/s).
To evaluate the Laplace trasform of sin2t divided by t, we will ... | 5 | [
-0.04736328125,
0.047119140625,
0.057861328125,
-0.006988525390625,
0.1689453125,
0.052978515625,
-0.09765625,
0.06494140625,
0.05908203125,
0.06005859375,
0.1220703125,
-0.022705078125,
-0.052734375,
0.0089111328125,
-0.0062255859375,
-0.0286865234375,
-0.003387451171875,
-0.02136... | 13,700,782 | 13700782 | |
Essay About: Beta Of The Project And Equity Betas Of The Proxy Companies
Essay About Beta Of The Project And Equity Betas Of The Proxy Companies
Essay, Pages 1 (1222 words)
Latest Update: April 3, 2021
//= get_the_date(); ?>
Views: 195
//= gt_get_post_view(); ?>
Related Topics:
Ameritrade Case
Essay Preview: Amer... | 4 | [
-0.0576171875,
0.0244140625,
-0.055419921875,
-0.00927734375,
-0.0111083984375,
-0.01251220703125,
0.0257568359375,
0.06103515625,
0.039794921875,
0.03515625,
0.0086669921875,
0.0791015625,
0.03369140625,
-0.010009765625,
-0.06640625,
0.032470703125,
0.02880859375,
0.00369262695312... | 13,700,783 | 13700783 | |
New Study of the Stability of Fluid Flow in a Porous Channel under Effects of Magnetic Field and Radiation
New Study of the Stability of Fluid Flow in a Porous Channel under Effects of Magnetic Field and Radiation ()
1. Introduction
The stability became very important and a study axis for many researchers in past las... | 4 | [
-0.0091552734375,
-0.008544921875,
0.0196533203125,
0.0146484375,
0.08056640625,
-0.058349609375,
-0.0010986328125,
-0.016357421875,
0.002716064453125,
-0.0234375,
-0.049560546875,
0.06298828125,
0.07568359375,
-0.05908203125,
-0.0235595703125,
-0.029296875,
-0.05615234375,
0.01940... | 13,700,784 | 13700784 | |
Finding paths between users in social network graph.
For some time I'm working at Grono.net the biggest Polish social networking website (over 1.3mln registered users). Like in other networking sites, our users have the list of friends which they know.
We have interesting feature of finding the shortest path between ... | 4 | [
0.0120849609375,
-0.04150390625,
-0.01068115234375,
0.0006866455078125,
-0.0478515625,
-0.061279296875,
-0.034912109375,
0.01104736328125,
0.003997802734375,
-0.0286865234375,
-0.005340576171875,
0.0498046875,
-0.0062255859375,
0.05029296875,
0.03173828125,
-0.0272216796875,
0.003540... | 13,700,785 | 13700785 | |
┌┬──────────────────────────────────────────┐
││ Cut The Knot! │
││ │
││ An interactive column using Java applets │
││ by Alex Bogomolny │
└┴──────────────────────────────────────────┘
The Complete Quadrilateral
December 2002
... | 5 | [
-0.045166015625,
0.07568359375,
-0.035400390625,
-0.051025390625,
-0.11962890625,
-0.0712890625,
0.02099609375,
0.0096435546875,
-0.053955078125,
0.022705078125,
0.04833984375,
0.02734375,
-0.048828125,
0.021240234375,
-0.01226806640625,
0.052001953125,
-0.11083984375,
0.0493164062... | 13,700,786 | 13700786 | |
Google OR-Tools - Part 2
Here, i am back again with a new blog post on Google OR-Tools. Today, I am going to discuss yet another problem statement and a member in optimization algorithms i.e. Constraint Programming.
Introduction
Constraint Programming is a technique used to solve combinatorial problems and is widely ... | 5 | [
-0.1171875,
-0.0076904296875,
-0.0361328125,
-0.025634765625,
-0.0020751953125,
-0.031494140625,
-0.05029296875,
-0.01361083984375,
-0.024169921875,
0.058349609375,
-0.043212890625,
0.006195068359375,
0.08837890625,
0.0157470703125,
-0.007781982421875,
-0.0164794921875,
0.0576171875,... | 13,700,787 | 13700787 | |
Consequences Galois: Fundamental Theorem of Algebra | JustToThePointConsequences Galois: Fundamental Theorem of Algebra
Lemma. Every nonnegative real number has a real square root.
Suppose f(x) = x^2 -a with a > 0. f(0) < 0, f(u) > 0 for u sufficient large. ⇒ [Intermediate value theorem. If f is a continuous function ... | 5 | [
-0.017822265625,
0.029541015625,
-0.03515625,
0.036865234375,
-0.045166015625,
0.09716796875,
-0.0164794921875,
0.0250244140625,
0.07470703125,
-0.0164794921875,
0.09130859375,
0.029296875,
0.038818359375,
0.07080078125,
-0.0033416748046875,
-0.036865234375,
-0.051513671875,
-0.067... | 13,700,788 | 13700788 | |
Plot I-V Characteristics of Photovoltaic Cell Module and Find Out the Solar Cell Parameters - Free Electrical Notebook - Theory and Practical
Plot I-V Characteristics of Photovoltaic Cell Module and Find Out the Solar Cell Parameters
Experiment No.: 1
Experimemt Name :
Plot I-V Characteristics of Photovoltaic Cell M... | 4 | [
0.02783203125,
0.109375,
-0.0294189453125,
-0.002197265625,
0.034423828125,
-0.015625,
0.031494140625,
0.0810546875,
0.000537872314453125,
0.0272216796875,
0.04736328125,
-0.0118408203125,
0.041015625,
0.0145263671875,
0.09423828125,
0.04736328125,
-0.00154876708984375,
0.044921875... | 13,700,789 | 13700789 | |
CFA Level I: Sampling, Estimation and Hypothesis Testing
Sampling
The sampling and estimation reading focuses on two things. The first is how to determine quality samples and perform sampling to obtain a good estimator for population description. The second focus
of the reading is to build on what we know about confi... | 4 | [
0.0283203125,
-0.025634765625,
-0.06640625,
0.0849609375,
0.10009765625,
0.05322265625,
0.004241943359375,
0.0057373046875,
-0.01458740234375,
0.00848388671875,
-0.00110626220703125,
-0.05126953125,
-0.034423828125,
-0.078125,
-0.00035858154296875,
-0.078125,
0.0439453125,
-0.01782... | 13,700,790 | 13700790 | |
9.4 Full Hypothesis Test Examples - Introductory Business Statistics 2e | OpenStax
Tests on Means
Problem
Jeffrey, as an eight-year old, established a mean time of 16.43 seconds for swimming the 25-yard freestyle, with a standard deviation of 0.8 seconds. His dad, Frank, thought that Jeffrey could swim
the 25-yard fr... | 5 | [
0.06005859375,
0.064453125,
0.09619140625,
-0.044677734375,
0.031005859375,
-0.02392578125,
-0.041259765625,
0.07080078125,
0.00152587890625,
0.059814453125,
0.07666015625,
-0.046142578125,
-0.0380859375,
0.060791015625,
0.00201416015625,
-0.033447265625,
0.029541015625,
-0.0703125... | 13,700,791 | 13700791 | |
Anahtarcı, Berkay and Djakov, Plamen Borissov (2015) Asymptotics of spectral gaps of 1D Dirac operator whose potential is a linear combination of two exponential terms. Asymptotic Analysis, 92 (1-2).
pp. 141-160. ISSN 0921-7134 (Print) 1875-8576 (Online)
Full text not available from this repository. (
Request a copy... | 4 | [
-0.08837890625,
0.01495361328125,
0.0021820068359375,
0.0390625,
0.0264892578125,
0.035888671875,
0.05859375,
-0.0181884765625,
-0.0186767578125,
-0.023193359375,
0.0966796875,
-0.05810546875,
-0.0224609375,
-0.000804901123046875,
0.07275390625,
-0.07568359375,
0.006134033203125,
-... | 13,700,792 | 13700792 | |
A Simulation-Based Method to Determine Model Misspecification: Examples using Natural Mortality and Population Dynamics Models
How to translate text using browser tools
1 April 2012 A Simulation-Based Method to Determine Model Misspecification: Examples using Natural Mortality and Population Dynamics Models
Kevin R. ... | 4 | [
0.0019378662109375,
-0.0291748046875,
-0.031005859375,
0.06689453125,
0.0032806396484375,
-0.04541015625,
-0.0654296875,
-0.00970458984375,
0.03515625,
0.01495361328125,
0.050537109375,
-0.08154296875,
0.04541015625,
0.03515625,
-0.0498046875,
-0.0732421875,
-0.036865234375,
0.0138... | 13,700,793 | 13700793 | |
ati
Lesson 12
Standard Deviation
• Let’s learn about standard deviation, another measure of variability.
12.1: Notice and Wonder: Measuring Variability
What do you notice? What do you wonder?
mean: 10, MAD: 1.56, standard deviation: 2
mean: 10, MAD: 2.22, standard deviation: 2.58
mean: 10, MAD: 2.68, stand... | 4 | [
-0.0086669921875,
-0.026123046875,
-0.025146484375,
-0.03173828125,
0.0164794921875,
-0.02099609375,
-0.03271484375,
0.0634765625,
-0.0150146484375,
-0.0194091796875,
-0.00299072265625,
-0.01416015625,
0.005615234375,
-0.05810546875,
0.03515625,
-0.04248046875,
-0.0130615234375,
-0... | 13,700,794 | 13700794 | |
AQA A Level Maths: Year 1 / AS Level: Bridging Edition
The publisher has enabled DRM protection, which means that you need to use the BookFusion iOS, Android or Web app to read this eBook. This eBook cannot be used outside of the BookFusion platform.
Description
Contents
Reviews
Approved by AQA, this Student Book ... | 4 | [
-0.09716796875,
-0.0208740234375,
0.00885009765625,
-0.003448486328125,
-0.041748046875,
0.03125,
-0.062255859375,
0.01904296875,
-0.04931640625,
-0.0128173828125,
0.040771484375,
-0.00189208984375,
0.07275390625,
0.04150390625,
-0.01708984375,
0.09423828125,
-0.0167236328125,
0.05... | 13,700,795 | 13700795 | |
Search results for: Fractional Brownian motion
Commenced in January 2007
Search results for: Fractional Brownian motion
829 Derivation of Fractional Black-Scholes Equations Driven by Fractional G-Brownian Motion and Their Application in European Option Pricing
Authors: Changhong Guo, Shaomei Fang, Yong He
Abstract:... | 4 | [
-0.046875,
-0.057861328125,
0.0250244140625,
0.038818359375,
-0.006072998046875,
0.0289306640625,
-0.02978515625,
-0.01092529296875,
0.0849609375,
-0.044921875,
-0.040283203125,
0.0052490234375,
-0.07177734375,
-0.0130615234375,
-0.003570556640625,
0.00994873046875,
-0.00047302246093... | 13,700,796 | 13700796 | |
Control Systems/State-Space Equations - Wikibooks, open books for an open world
Time-Domain Approach
edit
The "Classical" method of controls (what we have been studying so far) has been based mostly in the transform domain. When we want to control the system in general, we represent it using the Laplace
transform (Z-... | 4 | [
-0.16796875,
-0.01434326171875,
0.06396484375,
0.018310546875,
0.0625,
0.0400390625,
-0.01611328125,
0.00775146484375,
0.07080078125,
0.06591796875,
0.016845703125,
0.020263671875,
0.061279296875,
-0.06787109375,
-0.03173828125,
-0.004302978515625,
0.025146484375,
0.000846862792968... | 13,700,797 | 13700797 | |
In statistical mechanics, a canonical ensemble is the statistical ensemble that represents the possible states of a mechanical system in thermal equilibrium with a heat bath at a fixed temperature.^[
1] The system can exchange energy with the heat bath, so that the states of the system will differ in total energy.
Th... | 4 | [
-0.0238037109375,
-0.046142578125,
0.053955078125,
0.042236328125,
0.05078125,
0.02587890625,
-0.0181884765625,
0.07861328125,
0.10009765625,
0.062255859375,
-0.0208740234375,
-0.001739501953125,
0.09765625,
-0.0235595703125,
-0.00970458984375,
-0.08544921875,
-0.0172119140625,
0.0... | 13,700,798 | 13700798 | |
Here What Is The Integral Of Sec going viral - Todays News
Here What Is The Integral Of Sec going viral
What is the Integral of sec x?
That’s a great question! The integral of sec x is a common integral that can be found using a variety of techniques. In this blog post, we’ll explore what the integral of sec x is, ho... | 5 | [
-0.0250244140625,
0.027099609375,
0.0260009765625,
-0.0089111328125,
0.01165771484375,
0.0045166015625,
0.004638671875,
0.032958984375,
0.045166015625,
-0.007171630859375,
0.050048828125,
0.043212890625,
0.0013885498046875,
0.052734375,
0.0208740234375,
-0.0634765625,
0.0341796875,
... | 13,700,799 | 13700799 |