content string | quality_label int64 | meta string | all-MiniLM-L6-v2_embedding list | doc_id int64 | unique_id string |
|---|---|---|---|---|---|
tion
sepa_convexproj.h File Reference
Detailed Description
convexproj separator
Author
Felipe Serrano
This separator receives a point \( x_0 \) to separate, projects it onto a convex relaxation of the current problem and then generates gradient cuts at the projection.
In more detail, the separators builds and ... | 4 | [
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Log Calculator
Log Calculator (Logarithm)
Please provide any two values to calculate the third in the logarithm equation log[b]x=y. It can accept "e" as a base input.
What is Log?
The logarithm, or log, is the inverse of the mathematical operation of exponentiation. This means that the log of a number is the number ... | 4 | [
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What is the equivalent pressure of 0.743 atm in units of mm Hg? | Socratic
What is the equivalent pressure of 0.743 atm in units of mm Hg?
1 Answer
Explanation:
The problem wants you to use a known conversion factor to go from pressure expressed in atmospheres, $\text{atm}$, to pressure expressed in millimeter of me... | 4 | [
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Relations and Functions: Definition, Types, and Examples - Turito
Comparing two numbers is finding the relation between them. Relations and Functions between any two entities gives us the link between them. Special relations in Mathematics obtain a precise
correspondence between any two entities. These special relation... | 4 | [
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An Introduction to Bayesian Statistics
Bayesian statistics has emerged as a powerful methodology for making decisions from data in the applied sciences.
Credit: Technology Networks
Want to listen to this article for FREE?
Complete the form below to unlock access to ALL audio articles.
Read time: 4 minutes
What is... | 5 | [
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Galerkin finite element approximation of a stochastic semilinear fractional subdiffusion with fractionally integrated additive noise
Galerkin finite element approximation of a stochastic semilinear fractional subdiffusion with fractionally integrated additive noise
Affiliation
Lvliang University; University of Ch... | 4 | [
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IntroductionMethods: the proposed approach (RHO_LAMBDA)Rappbode ReservoirAssessmentsDiscussionConclusionsData availabilityMeasurement of samples taken for this studyCorrections of original chemical analyses for charge
balanceApplication of the TEOS10 algorithm in the assessmentPreparation of synthetic solutionsSoftware... | 4 | [
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A sum of Rs.$800$ is in the form of denominations of Rs. $10$ and Rs.$20$.If the total number of notes is $50$, then find the number of notes of each type.
Hint: Assume the number of notes of Rs. $10$ be y then since the total number of notes is $50$ , so the number of notes of Rs. $20$will be $50 - {\text{x}}$.Here to... | 4 | [
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Analytic workflow: Assessing model fit
Source:
vignettes/workflow_performance.rmd
workflow_performance.rmd
This vignette shows how to use the performance package to check the fit of a model, how to detect misspecification and how to improve your model. The basic workflow of the performance package can be
summarized... | 4 | [
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Binary-Output RS Decoder
Decode Reed-Solomon code to recover binary vector data
Libraries:
Communications Toolbox / Error Detection and Correction / Block
Description
The Binary-Output RS Decoder block recovers a binary message vector from a binary Reed-Solomon codeword vector. For proper decoding, the parameter va... | 5 | [
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Finding Mode of Ungrouped Data Worksheet
FINDING MODE OF UNGROUPED DATA WORKSHEET
Question 1 :
In a factory, seven labors are receiving the daily wages of $500, $600, $600, $800, $800, $800 and $1000, find the modal wage.
Question 2 :
Find the mode for the set of values :
17, 18, 20, 20, 21, 21, 22, 22
Questio... | 4 | [
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Linear Regression with Elastic Net in Machine Learning with scikit-learn
Posted on by webmaster
Elastic Net is a linear regression technique that adds a regularization term by combining both the L1 penalty (as in Lasso regression) and the L2 penalty (as in ridge regression). So, it is based on
the linear regress... | 5 | [
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Understanding Gamma: A Deep Dive into Options Greek
Gamma is a crucial metric for options traders more particularly as it helps them to quantify the rate at which the delta of an option changes in relation to the underlying asset's price. Delta
measures the option's sensitivity to changes in the underlying asset's pric... | 5 | [
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How do you solve and write the following in interval notation: x^2 + 6x + 5 >= 0? | HIX Tutor
How do you solve and write the following in interval notation: #x^2 + 6x + 5 >= 0#?
Answer 1
The interval notation is #] -oo,-5 ] uu [-1,+oo[#
Let's factorise the equation #y=x^2+6x+5>=0# #=>##(x+1)(x+5)>=0# Let's do a s... | 4 | [
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On the Impact of Hardware Impairments on Massive MIMO
Ulf Gustavsson∗ , Cesar Sanchéz-Perez§ , Thomas Eriksson‡ , Fredrik Athley† ,
Giuseppe Durisi‡ , Per Landin‡ , Katharina Hausmair‡ , Christian Fager§ and Lars Svensson¶
∗ Ericsson
AB
Research
‡ Communication Systems Group, Dept. of Signals and System... | 4 | [
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An object with a mass of 6 kg is pushed along a linear path with a kinetic friction coefficient of u_k(x)= 1+cotx . How much work would it take to move the object over x in [(pi)/8, (3pi)/8], where x is in meters? | HIX Tutor
An object with a mass of #6 kg# is pushed along a linear path with a kinetic friction coeff... | 5 | [
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He Mass On A Spring Mass System Hangs Motionless From The Spring. When The Mass Is Pulled Down, The Sum (2024)
Answers
Answer 1
The sum of gravitational and elastic potential energies of the system increases as the mass is pulled down in a spring-mass system.
When the mass is pulled down in a spring-mass system, two... | 5 | [
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If z = x – i y and z^1/3 = p+ iq , then
Solution
B.
-2
D.
-1
(x - iy) = (p + iq)
^3
⇒ (x - iy) = p
^3
+(iq)
^3
+ 3p
^2
qi + 3pq
^2
i
^2
⇒ (x - iy) = p
^3
- iq
^3
+ 3p
^2
qi - 3pq
^2
⇒ (x - iy) = (p
^3
- 3pq
^2
) + i (3p
^2
q - q
^3
) On comparing both sides, we get
⇒ x = (p
^3
- 3... | 5 | [
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A restaurant claims the customers receive their food in less
than 16 minutes. A random sample...
A restaurant claims the customers receive their food in less than 16 minutes. A random sample...
A restaurant claims the customers receive their food in less than 16 minutes. A random sample of 39 customers finds a mean wa... | 5 | [
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This exercise addresses the following questions:
• What moment arises when a force is shifted parallel to its effective direction?
• How can you calculate the moment for a force acting at an angle?
• How do you calculate the lever arm of an attacking force?
Task
The force F shall be shifted into point P. Whic... | 5 | [
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Calculating interest rate given present and future value
Present value: The current worth of a future sum of money or stream the payments are invested at a given rate of interest.
6 Jun 2019 Calculation Formulas. Simple Interest Rate. Given a present value and a future value based on simple interest, interest rate ca... | 4 | [
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Use Cases and Examples for matsindf
Introduction
Matrices are important mathematical objects, and they often describe networks of flows among nodes. Example networks are given in the following table.
Ecological nutrients organisms
Manufacturing materials factories
Economic money economic sectors
The p... | 5 | [
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Filter Design
Minimax FIR Filter Design
This example shows how to use some of the key features of the generalized Remez FIR filter design function. This function provides all the functionality included in firpm plus many additional
features showcased here.
Weighted-Chebyshev Design
The following is an illustration o... | 4 | [
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Distance Formula
Coordinate Geometry
Distance Formula
NCERT Exercise
7.1 Part 2
Question 2: Find the distance between the points (0, 0) and (36, 15). Can you now find the distance between the two towns A and B discussed in section 7.2 and shown in following figure.
Answer: In particular, the distance of a point (x... | 4 | [
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How do you factor 27x^3 + 54 x^2 + 36x +8 by grouping? | HIX Tutor
How do you factor # 27x^3 + 54 x^2 + 36x +8# by grouping?
Answer 1
Note that the first and last terms are perfect cubes and find:
$27 {x}^{3} + 54 {x}^{2} + 36 x + 8 = {\left(3 x + 2\right)}^{3}$
Notice that the ratio between the first and seco... | 4 | [
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Linear and Non-Linear Relations
6.1 Linear and Non-Linear Relations
┌───────────────────────────────────────────────────────────────────────────────────────────────────────────────────┐
│ Definition │
├─────────... | 4 | [
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Linear Equations in One Variable with Examples - Science-QWSA
Definition of Linear Equation in One Variable:
A linear equation in one variable is an equation that can be written in the form ax+b =0. Here a and b are real numbers.
Linear equations also happen to be first-degree equations because the exponent on the va... | 4 | [
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Error-based or target-based? A unified framework for learning in recurrent spiking networks
Abstract
The field of recurrent neural networks is over-populated by a variety of proposed learning rules and protocols. The scope of this work is to define a generalized framework, to move a step forward
towards the unificatio... | 4 | [
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AI Linear Equation Solver - Step By Step Math Problem Solver | MathCrave
AI Linear Equation Solver
AI Linear Equation Solver
1. Solving Linear Equations with Arithmetic Operations
Definition:
– A linear equation is an equation of the form \( ax + b = c \), where \( x \) is the unknown, and \( a \), \( b \), and ... | 4 | [
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0.018310546875,
0.0185546875,
0.024658203125,
0.04931640625,
-0.119140625,
0.0932617187... | 13,700,328 | 13700328 | |
How to convert lux to watts
How to convert illuminance in lux (lx) to electric power in watts (W).
You can calculate watts from lux, luminous efficacy and surface area.
Lux and watt units represent different quantities, so you can't convert lux to watts.
Lux to watts calculation formula
Lux to watts calculation wi... | 4 | [
0.078125,
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0.1337890625,
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0.010009765625,
-0.15136... | 13,700,329 | 13700329 | |
Cool Math Stuff
Though pi day passed a few weeks ago, my brother made the interesting observation that this month is "Pi Month." It is March of 2014, or 3/14. Since I spent the month focused on trigonometry, I never
had a chance to honor this joyous occasion until today.
Interestingly, pi does play a huge role in trig... | 4 | [
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0.083984375,
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0.02... | 13,700,330 | 13700330 | |
spreadbyfd
Main Content
spreadbyfd
Price European or American spread options using finite difference method
Description
Price = spreadbyfd(RateSpec,StockSpec1,StockSpec2,Settle,Maturity,OptSpec,Strike,Corr) returns the price of European or American call or put spread options using the Alternate Direction Implicit
(... | 5 | [
-0.0361328125,
-0.005096435546875,
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0.05224609375,
-0.07763671875,
-0.106445... | 13,700,331 | 13700331 | |
DOI : 10.17577/IJERTCONV3IS14034
Download Full-Text PDF Cite this Publication
Gautham B A, Aditya Agarwal, 2015, F.A.R Framework, INTERNATIONAL JOURNAL OF ENGINEERING RESEARCH & TECHNOLOGY (IJERT) NCACCT – 2015 (Volume 3 – Issue 14),
• Open Access
•
• Total Downloads : 13
• Authors : Gautham B A, Aditya Ag... | 4 | [
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-0... | 13,700,332 | 13700332 | |
Understanding motion energy is crucial in physics. Kinetic energy measures the energy an object possesses due to its motion. This concept applies to everything from a rolling ball to speeding
vehicles. It plays a vital role in various fields, including engineering, sports, and daily life.
Accurate calculations of kin... | 4 | [
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0.12304... | 13,700,333 | 13700333 | |
ubset
Job Scheduling
Suppose you’ve got two processors, and ten jobs to run on them. You know the amount of time each job needs to complete, and your goal is to minimize the makespan of the jobs (that is, the time
it takes to get all the jobs finished). How would you do it?
It doesn’t take much tho... | 4 | [
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0.0003871917724609375,
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... | 13,700,334 | 13700334 | |
Art Archives - Page 2 of 5 - good fibrations
Spectra come from the need for negative dimensional spheres — the need for a category where suspension has an inverse and not just an adjoint!
If you want a fantastic introduction to the stable category of spectra, and the context of various topological theorems calling for... | 4 | [
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• A bike travels the first one-third of a certain distance with a speed of 10 km/hr, the
next one-third distance with a speed of 20 km/hr, and the last one-third distance with
a speed of 60 km/hr. What is the average speed of the bike for the whole journey?
• 1 Reply
•
Helpful
Up
0
... | 4 | [
0.00640869140625,
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... | 13,700,336 | 13700336 | |
5.2. Loops – Exam Problems
Chapter 5.2 Loops - Exam Problems
In the previous chapter, we learned how to run a command block more than once. That's why we implemented for loop and covered some of its main applications. Our task in the current chapter is to hone
our knowledge by solving a couple of more complex problem... | 4 | [
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0.04... | 13,700,337 | 13700337 | |
Zhao, Xi, and Chen’s well-filtered, non-sober dcpo
There are several known examples of dcpos that are well-filtered, but not sober, and I have mentioned a few ones here, where I have made a detailed description of one due to Xiaodong Jia. I would
like to explain another one, due to Dongsheng Zhao, Xiaoyong Xi, and Yix... | 4 | [
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... | 13,700,338 | 13700338 | |
Compute and Interpret Quality of Functional
3.1. Compute functional spaces and associated quality metrics
We now compute varying number of functional space from 1 to 9 dimensions based on a PCoA as well as an UPGMA dendrogram using mFD::quality.fspaces() function. We also compute 4 quality metrics (= all
combinations... | 4 | [
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NCERT Solutions for Class 7 Maths Chapter 7 Congruence of Triangles InText Questions
These NCERT Solutions for Class 7 Maths Chapter 7 Congruence of Triangles InText Questions and Answers are prepared by our highly skilled subject experts.
NCERT Solutions for Class 7 Maths Chapter 7 Congruence of Triangles InText Qu... | 4 | [
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-0.... | 13,700,340 | 13700340 | |
Project Euler in Haskell #3
Problem Description
Link to Project Euler problem 3
The prime factors of 13195 are 5, 7, 13 and 29.
What is the largest prime factor of the number 600851475143?
WARNING Solution ahead. Don’t read more if you want to enjoy the benefits of Project Euler and you haven’t already solved the p... | 4 | [
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0.0019073486328125,
-0.018432617... | 13,700,341 | 13700341 | |
CTGSY2 - Linux Manuals (3)
CTGSY2 (3) - Linux Manuals
NAME
ctgsy2.f -
SYNOPSIS
Functions/Subroutines
subroutine ctgsy2 (TRANS, IJOB, M, N, A, LDA, B, LDB, C, LDC, D, LDD, E, LDE, F, LDF, SCALE, RDSUM, RDSCAL, INFO)
CTGSY2 solves the generalized Sylvester equation (unblocked algorithm).
Function/Subroutine Docume... | 4 | [
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-0.005218505859375,
-0.0517578125,
0.0... | 13,700,342 | 13700342 | |
WOLFRAM
Re: Re: Trouble with a system of equations
• To: mathgroup at smc.vnet.net
• Subject: [mg77666] Re: [mg77596] Re: Trouble with a system of equations
• From: Andrzej Kozlowski <akoz at mimuw.edu.pl>
• Date: Thu, 14 Jun 2007 06:15:53 -0400 (EDT)
• References: <f4lb44$fvv$1@smc.vnet.net> <200706131142.H... | 5 | [
-0.16015625,
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-0.0223388671875,
-0.0451... | 13,700,343 | 13700343 | |
Uncertainty and Standard Errors
• Documentation version: 1.2.0
Uncertainty and Standard Errors¶
Parameter estimation (also referred to as “model fitting”) aims to find a solution in parameter space that has a likelihood at least as good as all other nearby solutions. We know that a locally
optimal solution has been... | 4 | [
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... | 13,700,344 | 13700344 | |
A block slides down an inclined plane, starting from rest and
being pushed with a constant...
A block slides down an inclined plane, starting from rest and being pushed with a constant...
A block slides down an inclined plane, starting from rest and being pushed with a constant acceleration of 5.25 m/s2 over a distanc... | 4 | [
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Computing Digits of $\pi$
announced the latest record for the number of digits of $\pi$ that have been computed. They have computed roughly 62.8 trillion digits using a supercomputer.
The work was done at the Zentrum für Data Analytics, Visualization and Simulation (DAViS). Prof. Dr. Heiko Rölke is the leader of DAV... | 4 | [
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Building a Neural Network from First Principles using Free Categories and Para(Optic)
Introduction
Category theory for machine learning has been a big topic recently, both with Bruno’s thesis dropping, and the paper on using the Para construction for deep learning.
In this post we will look at how dependent types ca... | 4 | [
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ICT110 Introduction to Data Science Assignment Help
Avail ICT110 Introduction to Data Science Assignment Help At Affordable Prices!!
Home Course Previous
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ORDER NEW COPY OF ICT110 INTRODUCTION TO DATA SCIENCE ASSIGNMENT AND SECURE HIGHER MARKS!
ICT110 Introduction to Data Science - University of the S... | 5 | [
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Basics of a Two-Variable Regression Model: Explained
In continuation of the previous Regression blog, here we are back again to discuss the basics of a two-variable regression model. To read the first blog from the Regression series, click here
www.dexlabanalytics.com/blog/a-regression-line-is-the-best-fit-for-the-give... | 4 | [
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Business Finance Essentials
33
Dr. Kevin Bracker, Dr. Fang Lin and Jennifer Pursley
Question 1
$1 received today is worth more than $1 received one year today because as soon as we have the money we can start making it work for us earning a positive rate of return. If I earn 5% interest, then
having the $1 today mea... | 5 | [
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Lesson Outline and Objective
Algebra tiles are a powerful tool for helping students make the connection between symbolic manipulation and geometrical representation using area models. In this activity, students can explore
completing the square using the Polypad Algebra tiles, and get a sense of why the process is ca... | 4 | [
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A Regional Model for Predicting Tropospheric Delay and Weighted Mean Temperature in China Based on GRAPES_MESO Forecasting Products
^1
School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China
^2
College of Geomatics and Geoinformation, Guilin University of Technology, Guilin 541004, China
^*
Author ... | 4 | [
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Python with Mathematics and Sequences - PART 2 & tricky cool Integer calculations - Abhilash Shukla
Python with Mathematics and Sequences – PART 2 & tricky cool Integer calculations
Here we will see some known and easy way of computing different mathematical and sequential things.
NOTE: This post is in continuati... | 5 | [
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... | 13,700,353 | 13700353 | |
Question: problem solving heat equation with radiative boundary
Tags are words are used to describe and categorize your content. Combine multiple words with dashes(-), and seperate tags with spaces.
I'm seeing strange behavior when I try to numerically solve the heat equation with radiative boundary conditions (heat... | 4 | [
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no graph, but i labeled steps to draw the graph
#1
0
+1
2
1
As shown in the graph, the area of regular hexagon ABCDEF is 72, P is the midpoint of EF. What is the area of the shadow?
Graph: Step 1: Draw regular hexagon ABCDEF. Step 2: Connect AD. Step 3: Mark the midpoint of EF as P, and connect BP. Name the inter... | 4 | [
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-0.0140991... | 13,700,355 | 13700355 | |
Coloring the Vertices of a Square
Section15.1Coloring the Vertices of a Square¶ permalink
Let's begin by coloring the vertices of a square using white and gold. If we fix the position of the square in the plane, there are \(2^4=16\) different colorings. These colorings are shown in
Figure 15.1.
Figure15.1The \(16\)... | 4 | [
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0.0... | 13,700,356 | 13700356 | |
The Broyden, Fletcher, Goldfarb, and Shanno, or BFGS Algorithm, is a local search optimization algorithm.
It is a type of second-order optimization algorithm, meaning that it makes use of the second-order derivative of an objective function and belongs to a class of algorithms referred to as Quasi-Newton
methods that... | 5 | [
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Finding the Limit of a Rational Function at a Point
Question Video: Finding the Limit of a Rational Function at a Point Mathematics • Second Year of Secondary School
Find lim_(𝑥 → −7) (𝑥² − 49)/(3𝑥³ + 24𝑥² + 13𝑥 − 56).
Video Transcript
Find the limit as 𝑥 approaches negative seven of 𝑥 squared minus 49 divide... | 5 | [
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Paper Insight: Image-to-image translation - Pix2pix and Cycle GAN
Paper insights are short overviews of selected papers, read by and presented by our team members. Academic credit goes to the original authors.
Many problems in computer graphics are a translation of an input image into a corresponding output image. For... | 4 | [
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Origin | Definition & Meaning
Origin|Definition & Meaning
Origin is referred to as the first point or the starting point from which we begin our calculations or measurements in mathematics, particularly in the area of coordinate geometry.
The 0 on a ruler is the point at which we begin taking measurements; as such, i... | 4 | [
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hap
from math import pi # given data epsilon_r=2.5 epsilon_o=8.854*10**-12 d=.2*10**-3 # in m A=20*10**-4 # in m**2 omega=2*pi*10**6 # in radians/s f=10**6 tan_delta=4*10**-4 C=epsilon_o*epsilon_r*A/d #
in F print "Capicitance is : ",(C*10**12)," miu miu F" # Formula P=V**2/R, so # R=V**2/P and P= V**2*2*pi* f * C * ta... | 5 | [
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Spline Interpolation - history, theory and implementation
Introduction
There are many implementations of interpolation schema based on the Bezier curve around the web, but they all seem to be either specifically oriented about one curve, or have functions that are not
general enough for a wide variety of curves.
The ... | 4 | [
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Gas Laws
Pressure
Concepts
Pressure ( P ) is the ratio of the force ( F ) exerted upon a surface to the surface area ( A ): P = F / A
A manometer is an device employed to measure pressure. There are a variety of manometer designs. A simple, common design is to seal a length of glass tubing and bend the glass tube... | 4 | [
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Ma
Matrix Inverse
Inverse refers to a matrices multiplicitive inverse. For example 0.2 is the multiplicitive inverse of 5, 2.2 * 5 = 1. Multiplying a scalar value by it's multiplicitive inverse results in one.
Multiplying a matrix by its multiplicitive inverse results in the identity matrix.
Not all matrices have an ... | 4 | [
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In logistic regression, we just assume the probability of x to be classified as 1 is :
P( y = 1 | x ) = 1 / ( 1 + exp ( -w^T x) ) = hw(x)
w is the parameter vector that we need to learn and optimize from the training sets.
This is the key to understand the logistic regression/classification, that function is the o... | 4 | [
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Triangle with Fubini - Solving Integral Problem
•
• Thread starter Faust90
• Start date
•
Tags
In summary, the conversation is about showing the following statement: for a subset D of R^2 that forms a triangle with vertices at (0,0), (1,0), and (0,1), and a steady function g, the double
integral of g(x+... | 5 | [
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Generalizing Shannon entropy with q-logs
The most common way to quantify entropy is Shannon entropy. That’s what people usually mean when they say “entropy” without further qualifications. A while back I wrote about Renyi entropy as a
generalization of Shannon entropy. This time I’ll explore a different generalizatio... | 5 | [
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A boy throws up a ball in a stationary lift and the ball returns to his hands in $10$ s. Now if the lift starts moving up at a speed of $5$ m
Hint:For a body thrown from a point and it returns to the same point then the Displacement of the object is equal to zero. We need to solve the problem keeping in mind the frame,... | 4 | [
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earning.
Cooperative learning. Work with a group to write a quadratic equation that has each given pair of solutions. a) \(3+\sqrt{5}, 3-\sqrt{5}\) b) \(4-2 i, 4+2 i\) c) \(\frac{1+i \sqrt{3}}{2}, \frac{1-i \
sqrt{3}}{2}\)
Short Answer
Expert verified
a) \ x^2 - 6x + 4 = 0 \; b) \ x^2 - 8x + 20 = 0 \; c) \ x^2 - x ... | 4 | [
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How do you determine whether the function f(x) = abs(x-3) satisfies the hypotheses of the mean value theorem on the indicated interval (a,b), and if so how do you find all numbers c on [0,4] ? | Socratic
How do you determine whether the function #f(x) = abs(x-3)# satisfies the hypotheses of the mean value theorem on th... | 4 | [
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Heat Transfer Modelling of Plate Heat Exchanger in Solar Heating System
Heat Transfer Modelling of Plate Heat Exchanger in Solar Heating System ()
1. Introduction
The availability of resources and energy is a serious problem of the whole world. Because of the environment, resources and energy crisis in recent years, ... | 4 | [
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Basic Math/Algebra
So yes, we do expect you to be able to do basic math and algebra. We will not make you do calculus or differential equations - just some plain ol' algebra. This means you might memorize an equation
with some variables in it and we tell you a few of them - then you calculate for the missing one. Her... | 4 | [
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Algebrarules.com
Algebra Rule 15
A fraction raised to a negative exponent equals the inverse of the fraction raised to a positive exponent
```\left({a \over b}\right)^{-n} = \left({b\over a}\right)^n```
Description:
The reciprocal of a fraction is the fraction turned on its head: the reciprocal of ``{2 \over 3}``... | 4 | [
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AVirtualMachineForExploringSpaceTimeAndBeyond
: The quaternionic Julia set -degree=2- computed -pseudo-addition and pseudo-multiplication in C- with A=(-0.581514...,+0.635888...,0,0) -tridimensional cross-section- (L'ensemble de Julia -degre=2- dans le corps des quaternions calcule -pseudo-addition et pseudo-multiplic... | 4 | [
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Present Value of a Series of Cash Flow
The present value of a series of cash flow is used to obtain the initial/current worth of a series of cash flow to be invested for some years at a prevalent rate of interest. In other words, it is
the amount required to be invested today at a certain rate of interest to meet futur... | 5 | [
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None
1. UNCERTAINTY
To act rationally under uncertainty we must be able to evaluate how likely certain things are. With FOL a fact F is only useful if it is known to be true or false. But we need to be able to evaluate
how likely it is that F is true. By weighing likelihoods of events (probabilities) we can develop me... | 4 | [
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The number of magic squares of order 6
defintion_of_subsets
Table of Contents
Definition of subsets
We introduce some terminologies here to divide the whole set of magic squares into small subsets.
A magic series and its binary representation
• A magic series of order n is a set of n distinct integers in the ran... | 4 | [
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• In each task, briefly tell us how you calculate them, theory, formula, implementation, or other details you think necessary,
• then report your answer directly in tables, lists, figures or other kinds of forms that can clearly deliver your results.
• In the end, illustrate your opinions, analysis or findings.
... | 4 | [
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Chi-square test in Power BI - Ben's Blog
Chi-square test in Power BI
Chi-square test in Power BI
In this post, we will see how we can implement the Chi-square test in Power BI using DAX only.
There are three main types of chi-square tests but in this post, we will focus only on the chi-square test for independence.
... | 4 | [
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-0.03222656... | 13,700,379 | 13700379 | |
Digital Signal Processing: The Essentials that You Need to Know. Theory to Practice
Appendix B: Analog Filter Design
Analog Filters
Dwight Day
Appendix B: Analog Filter Design
In this chapter we will be developing filters that employ feedback of the output. These filters are commonly called Infinite Impulse Respons... | 4 | [
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[Strategic Theory of Probability Thinking] 1. Introduction to Probability Theory and Mathematical Explanation of Preferences
Preparation
In textbooks, calculations are mainly performed by Excel functions. Although Excel has an excellent GUI, it does not have enough API libraries to connect to external web systems or d... | 5 | [
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Atomic Number Density | Definition & Examples | nuclear-power.com
Atomic Number Density
The atomic number density (N; atoms/cm^3) is the number of atoms of a given type per unit volume (V; cm^3) of the material. The atomic number density (N; atoms/cm^3) of a pure material having an
atomic or molecular weight (M; grams... | 5 | [
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Friday the 13ths
How to find the number of Friday the 13ths in a given year
This was a thing I did for a high school number theory assignment, which I then turned into a JavaScript program.
(I wrote this in terms of pencil-and-paper arithmetic; my intent at the time was to make it in a similar style to certain "math ... | 4 | [
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0.0747... | 13,700,383 | 13700383 | |
A regression example: linear models – Machine Learning – Mathigon
Machine LearningA regression example: linear models
A very common approach to estimating the regression function for a particular joint distribution is to assume that it takes a particular form. For example, to perform a linear regression, we posit
that... | 5 | [
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16.3 [Excursion] Central Limit Theorem | An Introduction to Data Analysis
16.3 [Excursion] Central Limit Theorem
The previous sections expanded on the notion of a \(p\)-value and showed how to calculate \(p\)-values for different kinds of research questions for data from repeated Bernoulli trials (= coin
flips). We s... | 4 | [
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Classification
edge
Classification edge for generalized additive model (GAM)
Since R2021a
Description
e = edge(Mdl,Tbl,ResponseVarName) returns the Classification Edge (e) for the generalized additive model Mdl using the predictor data in Tbl and the true class labels in Tbl.ResponseVarName.
e = edge(Mdl,Tbl,Y) ... | 5 | [
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Chapter 01.07: Taylor Theorem Revisited | Numerical Methods with Applications
Chapter 01.07: Taylor Theorem Revisited
Learning Objectives
After successful completion of this lesson, you should be able to:
1) recall the formula for Taylor’s theorem (pre-requisite to course), express Taylor’s theorem in plain langu... | 5 | [
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Hierarchy Builder devs & users
Trying out a simple chain of structures seems to fail with a strange error message:
Error:
parameter illtyped: In environment
A : indexed Type
The term "id_phant" has type
"phantom (indexed Type) A -> phantom (indexed Type) A"
while it is expected to have type
"unify (indexed Type) Typ... | 4 | [
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As alluded to in my previous post in this series, one of the most straight forward ways to test if a PRNG is generating good random sequences is by examining the frequency of 0's and 1's. This is
just a couple lines in Maple using Statistics:
(**) r1 := rand(0..1):L := [seq(r1(), i=1..10000)]:
(**) n := nops(L); tall... | 5 | [
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Introduction to Probability | Red & White Matter Classes
Introduction to Probability
Probability - In layman terms, we can say that it is an attempt to quantify our prediction about the future events, i.e. it is the estimate of the likelihood of occurrence of an event.
Before we dive into Probability and try to defin... | 4 | [
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Intermediate Example of the Principle of Weak Mathematical Induction
Intermediate Example of the Principle of Weak Mathematical Induction
We will now look at an intermediate example of the principle of weak mathematical induction.
Example 1
Prove that $n^2 < 2^n$ for each positive integer $n \geq 5$.
Let $P(n)$ be... | 5 | [
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Comment by shopdog for <p>When you make a vague request (e.g. 'simplify'), there is a risk that the answer will change if you ask it again.</p>
<p>Unfortunately I don't know what has changed or why. Maybe e.g. using <code>git blame</code> someone can find it out.</p>
<p>I am guessing that you are interested in the ex... | 4 | [
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Statistical Process Control
Is a tool for
achieving process stability
improving capability by reducing variability
Variability can be due to
chance causes (relatively small)
assignable causes (generally large
compared to background noise)
1
Control Charts
UCL
CL
LCL
UCL = mW + ksW
CL = mW
LCL = mW – ks... | 5 | [
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This week we will be tackling things that reduce to a bunch of simple harmonic oscillators. Any system that classically reduces to a set of normal modes each with its own frequency falls in this
category. We will start with just an ordinary simple harmonic oscillator, and will move on to look at radiation (photons) an... | 5 | [
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A219540 - OEIS
COMMENTS
R. Mestrovic conjectures that, for n >= 3, 2*sum(j = 1, n) j^n == -n^2 (mod n^3) implies that n is prime. See proposition 2.2(ii) - the conjecture is proved to be equivalent to Giuga's conjecture.
This proves the first half of Mestrovic's conjecture and hence the first half of Giuga's conjectu... | 5 | [
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To help you prepare for the rigors of exam day, UWorld has prepared an 8-page cheat sheet with step-by-step instructions for answering ten typical Level I exam questions including time value of
money, net present value, internal rate of return, the Sharpe ratio, DuPont analysis and return of equity.
Can you answer th... | 4 | [
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A quarterback is set up to throw the football to a receiver who
is running with...
A quarterback is set up to throw the football to a receiver who is running with...
A quarterback is set up to throw the football to a receiver who is running with a constant velocity ~vr directly away from the quarterback and is now a d... | 4 | [
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Small-angle approximation
The small-angle approximations can be used to approximate the values of the main trigonometric functions, provided that the angle in question is small and is measured in radians: These approximations
have a wide range of uses in branches of physics and engineering, including mechanics, electro... | 4 | [
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Percent Error: Formula, Definition, And Solved Example - TechBar
Percent errors represent the magnitude of our measurement errors during the analysis procedure. Smaller percent errors imply proximity to the accepted or original value. For instance, an error of 1%
suggests that we were close to the accepted value, but a... | 4 | [
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