Dew.Math.Linux provides the high-performance numerical computation capabilities of Dew.Math, but with native acceleration binaries compiled for Linux. It is designed for compute clusters, scientific servers, containerized deployment environments, and performance-critical Linux workloads. Core Numerical Capabilities: - Dense linear algebra (BLAS/LAPACK): decomposition and eigenvalue routines optimized for AVX/AVX-512 - Sparse matrix operations with Pardiso and UMFPACK direct solvers and Krylov-based iterative solvers - Complex-valued linear algebra and spectral computations - Polynomial operations, splines, interpolation, approximate function models, and spectral transforms - Probability distributions, stochastic simulation, and random number engines - Special function library suitable for numerical physics, statistics, and differential systems - Optimization algorithms for non-linear fitting, gradient models, linear programming, and statistical inference Performance Architecture: - Linux-native accelerated BLAS/LAPACK libraries - Multithreaded vectorized math with CPU feature dispatch (AVX/AVX2/AVX-512) - Low-overhead memory allocator for stable scaling under parallel workloads - Optional OpenCL GPU integration for Linux compute environments Platform Model: - Contains Linux native runtime binaries - For Windows native acceleration use: Dew.Math - For portable managed-only computation use: Dew.Math.Core Use Dew.Math.Linux for Linux HPC compute nodes, microservice model engines, AI research pipelines, and scalable distributed scientific processing.
Get Started
$ dotnet add package Dew.Math.LinuxReadme
High performance math Library for .NET Core on Linux
Multicore math engine for science and engineering. Dew Math Library is an object oriented math library for C# and .NET developers that offers a wide set of matrix and vector math operations. The library provides a broad set of vectorized numeric functions which include sparse matrices, complex numbers, probabilities, expression parser, optimization unit, SVD, QR, LQ, and LU solvers and special functions. Key features:
- Full hardware acceleration for Linux OS (64bit only).
- Runs with Intel AVX, AVX2 and AVX512 optimized codepaths, chosing the best codepath depending on the underlying hardware.
- Requires GLIBC v2.14. Runs also on RHEL 7.x with version 6.0.91. Version 6.2 needs RHEL 8.x and 9.x.
- Typical performance gain over .NET Core native code is 10x.
- With .NET Core use common source to compile your applications for Windows, Mac OS, iOS / iPhone, Android and Linux. The full source version is called MtxVec Core Edition
- Supports .NET framework NET Core 5.0 and .NET Core 6.0 on Linux (version 2022) and .NET Core 7.0 and 8.0 (version 2024).
- Optimized Linear Algebra Package (LAPACK v3.7) numerical library
- Extensive XMLDoc based tooltips for .NET Core projects.
- Vectorized Math expression parser and evaluator
- Various optimization and fitting algorithms allow solution to a large set of problems. Simplex (Nelder-Mead), Marquardt with numerical derivates, Dual Simplex, Two-phase Simplex, BFGS, Conjugate Gradient, Gomory's Cutting Plane, Brent, Linear optimization, Trust Region.
- Sparse matrices, Direct Solvers (UMFPack and Pardiso), CG Iterative Solvers. Eigenvalues of symmetric matrices, solvers for banded matrices.
- Random Generators for over 18 distributions.
- Roots of the polynomial, coefficients of the polynomial, Poly evaluations, fitting, splines, piecewise polynomials, polynomial division and multiplication.
- Numerical integration by MonteCarlo, QuadGauss, Romberg methods.