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TheAlgorithms / C-Plus-Plus

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Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

search computer-science machine-learning algorithm algorithms cpp machine-learning-algorithms mathematics sort data-structures educational algorithm-competitions interview-questions hacktoberfest algorithms-implemented interview-preparation artificial-intelligence-algorithms instructor-materials
  • Updated Jun 24, 2022
  • C++

TheAlgorithms / C

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Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

c search computer-science education machine-learning algorithms datastructures machine-learning-algorithms mathematics interview sort learn-to-code data-structures educational algorithm-competitions interview-questions algorithm-challenges hacktoberfest community-driven
  • Updated Jun 19, 2022
  • C

tangyudi / Ai-Learn

Star 5.2k

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

python nlp data-science machine-learning data-mining algorithm caffe deep-learning tensorflow numpy cv keras mathematics pandas pytorch seaborn artificial-intelligence data-analysis matplotlib tensorflow2
  • Updated Jun 23, 2022

markrogoyski / math-php

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Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra

php finance statistics algebra math php-library information-theory vector matrix linear-algebra probability mathematics regression combinatorics number-theory numerical-analysis distributions
  • Updated Apr 17, 2022
  • PHP
root

root-project / root

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Open

[RF] Wrong integral for RooPoisson if integrated from a > 0 to infinity

guitargeek
guitargeek commented Jun 30, 2022

Describe the bug

The analytical integral of the RooPoisson is implemented wrongly for the case where the boundaries are 0 < a < 1e30 and b >= 1e30.

Expected behavior

The integral should be correct.

To Reproduce

The wrong integral can be reproduced with this code snippet.

void testPoissonIntegral() {

   const double mu = 100;
   const double inf = std::
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bug good first issue in:RooFit/RooStats
Find more good first issues
Linear_Algebra_With_Python

MacroAnalyst / Linear_Algebra_With_Python

Star 1.7k

Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the most must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.

python data-science jupyter matrix linear-algebra mathematics data-visualization data-analysis eigenvectors computational-science vector-space matrix-calculations eigenvalues singular-value-decomposition diagonalization gram-schmidt linear-transformations null-space symmetric-matrices multivariate-normal-distribution
  • Updated Mar 23, 2022
  • Jupyter Notebook

apple / swift-numerics

Star 1.4k
Open

Add `compound` function

4
stephentyrone
stephentyrone commented Nov 2, 2020

IEEE 754 recommends (but does not require) a compound function, which is in the process of being standardized for C and C++; we should expose it in swift-numerics. The simplest, most literal translation of the operation into Swift would be:

extension RealFunctions {
  /// (1+x)ⁿ
  /// 
  /// Returns NaN if x < -1.
  static func compound(_ x: Self, _ n: Int) -> Self {
    // not
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enhancement good first issue question

igraph / igraph

Star 1.4k
Open

Graph center and graph periphery

12
szhorvat
szhorvat commented Apr 5, 2022

What is the feature or improvement you would like to see?

A function that computes the graph center, and the graph periphery. The graph center is the set of vertices that has minimal eccentricity. The periphery is the set with maximal eccentricity.

Use cases for the feature

This is a standard concept in graph theory.

**Implementatio

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wishlist good first issue
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