Alternatives and similar repositories for Numerical-Optimization

Users that are interested in Numerical-Optimization are comparing it to the libraries listed below

• horchler / SDETools
  Matlab Toolbox for the Numerical Solution of Stochastic Differential Equations
  ☆101Updated 4 years ago
• PurdueMechanicalEngineering / me-239-intro-to-data-science
  Introduction to Data Science for Mechanical Engineers
  ☆20Updated last week
• NBoulle / greenlearning
  Learning Green's functions of partial differential equations with deep learning.
  ☆68Updated last year
• PredictiveScienceLab / advanced-scientific-machine-learning
  ME 697 - Advanced Scientific Machine Learning
  ☆21Updated last month
• shawnrosofsky / HAL-Physics-Informed-AI-Tutorial
  ☆16Updated 3 years ago
• codetoday-london / 2D-Fourier-Transforms-In-Python
  ☆22Updated 3 years ago
• stefanmeili / FastFD
  A library for building finite difference simulations
  ☆34Updated 4 years ago
• aquaULB / solving_pde_mooc
  ☆69Updated 9 months ago
• yanndebray / matlab-with-python-book
  Book on MATLAB with Python 🐍
  ☆80Updated 8 months ago
• MathWorks-Teaching-Resources / Numerical-Methods-with-Applications
  Teach numerical methods for interpolation, differentiation, integration, and solving ODEs and PDEs with MATLAB.
  ☆37Updated 7 months ago
• patrickwalls / math210
  An introduction to scientific computing in Python
  ☆11Updated 7 years ago
• johannesgerer / jburkardt-m
  Git Mirror of John Burkardt's great collection of MATLAB Software
  ☆93Updated 6 years ago
• chr1shr / am205_examples
  Harvard Applied Math 205: Code Examples
  ☆87Updated 2 years ago
• polossk / Finite-Differences-Assignments
  Assignments of Finite Differences Method Lesson in NWPU
  ☆17Updated 4 years ago
• dynamicslab / langevin-regression
  Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton
  ☆25Updated 3 years ago
• ppotoc / Fundamentals-of-Neural-Networks
  This teaching package contains modular contents for the introduction of the fundamentals of Neural Networks. The package consists of a se…
  ☆38Updated last week
• IPAIopen / NumDL-CourseNotes
  Course notes for graduate-level class on numerical methods for deep learning
  ☆51Updated 4 years ago
• stephenbeckr / convex-optimization-class
  APPM 5630 at CU Boulder
  ☆49Updated 3 weeks ago
• mukeshramancha / transitional-mcmc
  This repo contains the code of Transitional Markov chain Monte Carlo algorithm
  ☆18Updated 2 years ago
• ralna / LANCELOT
  a fortran 77 package for large-scale nonlinear optimization
  ☆9Updated last year
• PredictiveScienceLab / data-analytics-se
  ME 539 - Introduction to Scientific Machine Learning
  ☆120Updated last month
• higham / matlab-guide-3ed
  Program files from MATLAB Guide, Third Edition
  ☆29Updated 8 years ago
• leakec / tfc
  The Theory of Functional Connections: A functional interpolation method with applications in solving differential equations.
  ☆40Updated 2 weeks ago
• pdfo / pdfo
  Powell's Derivative-Free Optimization solvers.
  ☆102Updated last month
• MathWorks-Teaching-Resources / Fourier-Analysis
  Learn Fourier analysis using live scripts and apps.
  ☆119Updated 7 months ago
• roslovets / Live-Script-to-Markdown-Converter
  Easily convert MATLAB live scripts to markdown files
  ☆23Updated 3 years ago
• cdslaborg / paramonte
  ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.
  ☆289Updated 5 months ago
• clegaard / deep_learning_for_dynamical_systems
  ☆87Updated 2 years ago
• MathWorks-Teaching-Resources / Thermodynamics
  This curriculum module contains interactive examples that teach fundamental concepts and basic terminology related to thermodynamics with…
  ☆31Updated 7 months ago
• springer-math / Numerical-Methods-for-Stochastic-Partial-Differential-Equations-with-White-Noise
  Matlab codes accompanying Numerical Methods for Stochastic Partial Differential Equations with White Noise
  ☆26Updated 7 years ago