oj! Algorithms

An Eigen-based, light-weight C++ Interface to Nonlinear Programming Solvers (Ipopt, Snopt)

Python interface for the SCIP Optimization Suite

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Tutorials on using JuMP for mathematical optimization in Julia

Efficiently solving instances of a parameterized family of optimization problems in Julia

provides a modeling interface for mixed complementarity problems (MCP) and math programs with equilibrium problems (MPEC) via JuMP

JuMP-based toolbox for solving bilevel optimization problems

This package is the implementation of a one-phase interior point method that finds KKT points of nonconvex optimization problems.

A scala library for IBM ILOG CPLEX

Image processing tutorials

An open source framework for interactive multiobjective optimization methods

Python optimization library for mathematical programming.

🎯 Repository contains code of various data-structures as well as pre-placement course material including topics like - Array, Bits manipulation, Recursion, Tricky problem statements, Mathematical coding problems, Linked lists, Stack, Queue, Graph, Tree, STL, Searching algorithms, Sorting algorithms, etc.

Mixed Integer Piecewise Regression Algorithm with Regularisation

Sixty examples of business optimization models

(WIP) Computational Mathematics Toolkit

My approach to Google foobar challenges

A collection of useful Cplex Python API examples.

A refactored port and code rebuilt of JWave - Discrete Fourier Transform (DFT), Fast Wavelet Transform (FWT), Wavelet Packet Transform (WPT), some Shifting Wavelet Transform (SWT) by using orthogonal (orthonormal) wavelets like Haar, Daubechie, Coiflet, and other normalized bi-orthogonal wavelets.

Linear Algebra in a JavaScript library

Multi-threaded numerical methods implemented in fortran and wrapped in python

Fast & Easy to use library to generate data sets according to given constraints (mathematican programming models)

oj! Mathematical Programming Benchmark

SCPT library with calculate 7,9 parameters of transformation system coordinates

My solutions to the coursera course Discrete Optimization of the first week

LKH implemented by Helsgaun with Passengers found by Mathematical Programming.

Second project of Methods and tools for industrial automation (Scheduling)