Mathematical Optimization
Showing 7 of 7 projects
A symbolic framework for numeric optimization with automatic differentiation and code generation capabilities.
A library for nonlinear optimization, providing a unified interface to multiple local and global optimization algorithms.
A C++17 library for automatic differentiation with forward and reverse mode support, enabling efficient derivative computation.
A pure Rust numerical optimization library offering a wide range of algorithms with a consistent, type-agnostic interface.
A Python solver for convex optimization problems defined on graphs, enabling distributed optimization across network structures.
A pure Ruby library implementing various unidimensional and multidimensional minimization algorithms for mathematical optimization.
A Crystal language wrapper for the NLopt nonlinear optimization library, providing access to 43 optimization algorithms.
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