Ranjan Anantharaman

Black-box optimization for Julia

Mathematical functions related to statistics.

A package for multi-dimensional integration using monte carlo methods

Simple least squares and curve fitting functions

Package to call the NLopt nonlinear-optimization library from the Julia language

A standard library of components to model the world and beyond

Neural style in Julia

FMICore.jl implements the low-level equivalents of the C-functions and C-data types of the FMI-standard (fmi-standard.org) for the Julia programming language. FMICore.jl provides the foundation for the Julia packages FMIImport.jl and FMIExport.jl.

A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.

Material for MIT 6.S097

Solar thermal power/fuel station performance simulation and optimisation using Modelica. Read a paper about our project: https://is.gd/solth

Client-Daemon workflow to run faster scripts in Julia

Calling the PARDISO library from Julia

Diagonal Format (DIA) for Julia

Julia wrapper for the arcpy python package

Simple weighted graphs. Requires LightGraphs.jl.

An adaptive optimizer for speeding up dynamic dispatch in Julia

No description provided.

Surrogate modeling and optimization for scientific machine learning (SciML)

No description provided.

Simulator for FMUs in Julia (WIP)

A fast and modern CAS for a fast and modern language.

Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)

No description provided.

GLPK wrapper module for Julia

A man has written a package. A package has no name.

Julia wrapper for the ECOS conic optimization solver

Julia Wrapper for SCS (https://github.com/cvxgrp/scs)

Interface to the Coin-OR Cbc solver for mixed-integer programming

Julia interface to the Ipopt nonlinear solver