THIS MIRROR IS DEPRECATED -- New url: https://gitlab.com/libeigen/eigen
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solvers
Here are 123 public repositories matching this topic...
Fast and flexible physics-based battery models in Python
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- Python
RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing high performance applications.
machine-learning information-retrieval statistics clustering gpu distance linear-algebra cuda primitives sparse nearest-neighbors solvers vector-similarity anns random-sampling vector-search building-blocks llm vector-store neighborhood-methods
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- Cuda
a lightweight header-only C++17 library of numerical optimization methods for (un-)constrained nonlinear functions and expression templates
newton optimization solver minimization eigen mathematics constrained-optimization optimization-methods optimization-tools solvers optimization-algorithms gradient-computation bfgs lbfgs numerical-optimization-methods minimization-algorithm lbfgs-solver lbfgsb-solver expression-templates
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Linear Programming for Rust, with a user-friendly API. This crate allows modeling LP problems, and lets you solve them with various solvers.
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- Rust
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
random stochastic noise differential-equations adaptive differentialequations sde stochastic-differential-equations sode ito hacktoberfest solvers stochastic-processes stratonovich random-differential-equations rode rde scientific-machine-learning sciml
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- Julia
Clapeyron provides a framework for the development and use of fluid-thermodynamic models, including SAFT, cubic, activity, multi-parameter, and COSMO-SAC.
julia thermodynamics equation-of-state solvers saft molecular-modeling unifac phase-equilibrium cosmo-sac phase-equilibria
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- Julia
Fatrop is a nonlinear optimal control problem solver that aims to be fast, support a broad class of optimal control problems and achieve a high numerical robustness.
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Library for VLSI CAD Design Useful parsers and solvers' api are implemented.
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Simulation framework for nonsmooth dynamical systems
python simulation optimization mcp numerical-calculations scientific-computing impact solvers nonsmooth-dynamical-systems complementarity-solvers variational-inequality bouncing-ball
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Benchmark for quadratic programming solvers available in Python
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Polyglot solutions for www.projecteuler.net mathematical challenges
python clojure haskell elixir lua common-lisp solver mathematics projecteuler polyglot solvers contests cplusplus-11 hackertoberfest
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This is a Julia package of nonlinear solvers. These codes are used in my book, Solving Nonlinear Equations with Iterative Methods: Solvers and Examples in Julia.
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- Julia
An evolutionary computation framework to (automatically) build fast parallel stochastic optimization solvers
algorithm framework cpp optimization parallelization cpp17 evolutionary-algorithm solvers optimization-algorithms metaheuristics search-heuristics paradiseo
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NASOQ:Numerically Accurate Sparsity Oriented QP Solver
machine-learning robotics linear-algebra scientific-computing high-performance-computing sparse-linear-systems geometry-processing physics-simulation sparse-matrix solvers siggraph quadratic-programming model-predictive-control shape-deformation model-reconstruction
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Constraint Satisfaction Problem Solver for Golang
go golang csp solver constraint-satisfaction-problem constraint-programming heuristic solvers arc-consistency
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- Go
Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.
julia ode dde differential-equations adaptive differentialequations delay-differential-equations solvers stiff scientific-machine-learning sciml
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- Julia
Easy-to-use linear and non-linear solver
wrapper newton cpp eigen pardiso suitesparse solvers nonlinear-optimization adam stochastic-gradient-descent linear-solvers linesearch hypre iterative-solvers amgcl lbfgs-optimizer
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A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation (NeurIPS 2021)
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- Jupyter Notebook
Using Google Operation Research Tools (Ortools) to solve complex scheduling problems (General optimization problems).
optimization scheduling constraint-programming operations-research solvers optimization-algorithms ortools scheduling-problem
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- Python
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