Pinned Repositories
cmpb
Prototype C interface to MathProgBase.jl
jlSimplex
Proof-of-concept implementation of the (dual) simplex algorithm for linear programming in Julia.
JuGP.jl
A prototype JuMP extension for geometric programming
JuliaBenders
An implementation of Benders decomposition in Julia
JuMPChance.jl
A JuMP extension for probabilistic (chance) constraints
JuMPSupplement
Repository containing supplementary materials and code for "JuMP: A Modeling Language for Mathematical Optimization"
pylinprog
linprog in python through pyjulia
ReverseDiffSparse.jl
Reverse-mode automatic differentiation for sparse Hessians
RobustCCOPFSupplement
Repository containing supplementary data and code for "A Robust Approach to Chance Constrained Optimal Power Flow with Renewable Generation" by Lubin, Dvorkin, and Backhaus
SimplexBenchmarks
mlubin's Repositories
mlubin/JuMPChance.jl
A JuMP extension for probabilistic (chance) constraints
mlubin/ReverseDiffSparse.jl
Reverse-mode automatic differentiation for sparse Hessians
mlubin/JuGP.jl
A prototype JuMP extension for geometric programming
mlubin/ConicNonlinearBridge.jl
MathProgBase wrapper to solve conic optimization problems with derivative-based nonlinear solvers
mlubin/PajaritoSupplement
mlubin/Calculus.jl
Calculus functions in Julia
mlubin/ecos
A lightweight conic solver for second-order cone programming.
mlubin/General
The official registry of general Julia packages
mlubin/PaPILO
Parallel Presolve for Integer and Linear Optimization
mlubin/PySCIPOpt
Python interface for the SCIP Optimization Suite
mlubin/ClimateTools.jl
Climate science package for Julia
mlubin/cvxpy
A Python-embedded modeling language for convex optimization problems.
mlubin/Documenter.jl
A documentation generator for Julia.
mlubin/EAGO.jl
A development environment for robust and global optimization
mlubin/FEMBasis.jl
FEMBasis contains interpolation routines for finite element function spaces. Given ansatz and coordinates of domain, shape functions are calculated symbolically in a very general way to get efficient code. Shape functions can also be given directly and in that case partial derivatives are calculated automatically.
mlubin/HetaSimulator.jl
Simulation engines for Heta-based modeling platforms
mlubin/HiGHS
Linear optimization software
mlubin/IJulia.jl
Julia kernel for Jupyter
mlubin/IpoptBuilder
mlubin/JSON3.jl
mlubin/McCormick.jl
A Forward McCormick Operator Library
mlubin/METADATA.jl
Metadata for registered Julia packages.
mlubin/mlubin.github.io
mlubin/odl
Operator Discretization Library https://odlgroup.github.io/odl/
mlubin/or-tools
Google's Operations Research tools:
mlubin/osqp
The Operator Splitting QP Solver
mlubin/ProtoBuf.jl
Julia protobuf implementation
mlubin/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
mlubin/QPSReader.jl
A reader for MPS and QPS files
mlubin/www.julialang.org
Julia Project website