mathematical-methods

There are 0 repository under mathematical-methods topic.

• gyrdym / ml_linalg

  SIMD-based linear algebra and statistics for data science with dart

  dartvectormathmathematicslinear-algebrasimdsimd-parallelismsimd-vectorsimd-librarysimd-programmingmatrixlinalgvector-multiplicationscalarmathematical-methodsvector-elementsmachine-learning
  Language:Dart 77

• transientlunatic / notes-mathmethods

  Notes on mathematical methods for physics

  noteslecture-notesmathematical-methods
  Language:Python 2

• alejo1630 / tensile_test

  This Python notebook is used to compute mechanical properties based on a tensile test data for a metallic material

  jupyter-notebookmathematical-methodsmechanical-propertiespythontensile-test
  Language:Jupyter Notebook 1

• kaandesu / special-distributions

  For studying MMCS, defined special probability distributions as classes. Also renders example graphs.

  learning-purposemathematical-methodsprobabilityrandom-variables
  Language:TypeScript 1

• AndyLin31 / Mathematical-Methods-in-Physics-Notes

  This repository is reserved for the typed notes for PHYS3031 Mathematical Methods in Physics II

  complex-analysismathematical-methodsmathematical-physics
  Language:TeX 0

• eskinderit / FiniteRepresentation

  A couple of exercises about Ill conditioning, Finite rapresentation in python and series approximation with finite numbers

  finite-representationill-conditionedmachine-epsilonfinite-numbersseries-approximationpythondoublemathematical-methods
  Language:Jupyter Notebook 0

• eskinderit / SGD

  An easy implementation of the Stochastic / Batch gradient descent and comparison with the standard Gradient Descent Method

  stochastic-gradient-descentgradient-descentgradient-methodbatch-gradient-descentmathematical-methods
  Language:Jupyter Notebook 0

• batiukmaks / Math-Optimization-Algorithms

  This repository is a collection of mathematical optimization algorithms and solutions for a variety of optimization problems. It provides a toolkit of algorithms and techniques for tackling optimization challenges in different domains.

  branch-and-boundconditional-gradientsgolden-section-searchgradient-descentmathematical-methodsoptimizationsimplex-methodtravelling-salesman-problemlinear-regression
  Language:Python

• eskinderit / NMF_BSS

  An exercise on the use of NMF for Blind Signal Separation

  nmfblind-source-separationsoundaudiomathematical-methodsaudio-engineering
  Language:Jupyter Notebook