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Found 5 packages
pkg
SharpLearning.Optimization
Provides optimization algorithms.
v0.31.8
↙ 286.6K / total
optimizationgridsearchrandomparticle
LibOptimization
LibOptimization is a numerical optimization library that simplifies optimization using C#, VisualBasic.Net and other .NET Framework languages. Implementing optimization algorithm are Steepest Descent Method, Newton Method, Nelder Mead Method (Original ver, Wikipedia ver) ,Hooke and Jeeves of Pattern Search (Direct Search), Real-coded Genetic Algorithm(BLX-alpha and JGG, UNDX and JGG Simplex and JGG, REX and JGG, PCX and G3), Particle Swarm Optimization(Basic PSO, LDIW-PSO, CDIW-PSO, CRIW-PSO, AIW-PSO), Differential Evolution(DE/rand/1/bin, DE/best/1/bin, DE/rand/2/bin, DE/best/2/bin, JADE), Cuckoo Search(Standard), FireFry, Simulated Annealing, Evolution Strategy((1+1)-ES) and Hill Climbing.
v1.14.0
↙ 152.2K / total
optimizationheuristicnonlinearnumericalmath
pkg
Quipu
Nelder-Mead function minimization solver.
v1.0.0
↙ 3.7K / total
Dew.Math
Dew.Math is the Windows-optimized high-performance numerical computation library for .NET. It provides a vectorized matrix and vector math environment with native runtime acceleration, multithreaded execution, and extensive algorithm libraries for scientific, engineering, financial, AI/ML and signal processing workloads. Core Numerical Capabilities: - Dense linear algebra (BLAS, LAPACK): SVD, QR, LQ, LU, eigenvalue problems, least-squares, rank reveals - Sparse matrix support: direct solvers (Pardiso, UMFPACK), iterative solvers (CG, BiCG, GMRES), preconditioning strategies, structured sparse formats - Complex number computation with fully vectorized math operations - Polynomial arithmetic, interpolation, splines, rational approximations, Chebyshev basis transforms - Numerical differentiation, root solving, non-linear systems, ODE support for stiff and non-stiff cases - Probability distributions (over 30 families), random number generators, Monte Carlo methods - Special mathematical functions (Airy, Bessel, Gamma-related, elliptic integrals, Legendre, etc.) Optimization and Modeling: - Non-linear curve fitting with Levenberg-Marquardt and trust-region refinements - Direct and constrained optimization (Simplex/Nelder–Mead, BFGS, Conjugate Gradient, LP, dual-phase simplex, Gomory cutting plane) - Vectorized expression parser for dynamic formula construction and symbolic-style evaluation Performance Architecture: - Native accelerated BLAS/LAPACK kernels with automatic CPU dispatch (AVX, AVX2, AVX-512) - Scalable multithreading with a lock-free memory allocator for low-GC overhead - Optional OpenCL GPU offloading for supported device targets Platform Model: - Contains Windows native acceleration binaries - For Linux native acceleration use: Dew.Math.Linux - For a pure managed, portable edition use: Dew.Math.Core Use Dew.Math when you require **maximum numerical performance on Windows** for HPC, simulation, economic modeling, data analytics, or scientific visualization workflows.
v6.3.10
↙ 54.8K / total
dotnetcsharp
pkg
FSharp.Azure.Quantum
F# library for Azure Quantum with quantum-first optimization (Graph Coloring, TSP, MaxCut, Knapsack, Network Flow, Portfolio), Azure Quantum backend integration (IonQ, Rigetti, Quantinuum, Atom Computing), extensible circuit validation, local quantum simulation, QAOA with automatic parameter optimization (Nelder-Mead), OpenQASM 2.0 support, error mitigation techniques (ZNE, PEC, REM), Quantum Random Number Generation (QRNG), and educational quantum algorithms (Grover, QFT, Amplitude Amplification) with cloud backend execution. Multi-provider architecture supports IonQ, Rigetti, Quantinuum, Atom Computing, IBM, Amazon Braket, and Google Cirq.
v1.3.10
↙ 4.8K / total
F#FSharpQuantumAzureComputing