Optimization
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonline
- Category
- Julia packages
Official docs outline
docs.juliahub.comExtra Credit builds an outline of Optimization's docs the first time your work uses it. Until then, start at the official documentation.
More in Julia packages
All 1,000- ICU_jll
- Calculus Calculus functions in Julia
- TestItemRunner Run Julia test items
- NamedDims For working with dimensions of arrays by name
- ReadOnlyDicts
- TiledIteration Julia package to facilitate writing mulithreaded, multidimensional, cache-efficient code
- ModelingToolkitTearing Common algorithmic core for state selection in MTK, DAECompiler, JuliaSimCompiler
- JSONSchema JSON Schema validation package for Julia
- KLU Julia Wrapper for the KLU sparse matrix solver from SuiteSparse
- Nemo Julia bindings for the FLINT number theory C library
- CSTParser A concrete syntax tree parser for Julia
- Kerberos_krb5_jll