Efficiently solving instances of a parameterized family of (possibly mixed-integer) linear/quadratic optimization problems in Julia
OTHER License
Easily implement a heuristic for solving Mixed Integer problems
A Julia package for disciplined convex programming
Optimization functions for Julia
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Qu...
Linear Regression for Julia
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) ...
A Julia package that solves Linearly Constrained Separable Optimization Problems using ADMM.
ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE...
Julia AMPL Models Conforming to NLPModels.jl
Arrays with arbitrarily nested named components.
A lightweight framework to enable hierarchical, heterogeneous dynamical systems co-integration. B...
A Julia interface to the NLopt nonlinear-optimization library
Data Structures for Optimization Models
Julia modeling interface to parallel decomposition solver DSP
A Julia package for parameterized convex approximators including parameterized log-sum-exp (PLSE)...