NMath contains vector, matrix, and complex number classes, integration, ODE solver, peak finding, sparse matrix, linear programming, least squares, polynomials, minimization, factorizations (LU, Bunch-Kaufman, and Cholesky), orthogonal decompositions (QR and SVD), advanced least squares classes (Cholesky, QR, and SVD), optimization, solver, root-finding, curve-fitting, random number generation from various probability distributions the uniform, normal, Poisson, gamma, binomial, exponential, Pareto, and log normal distributions, sparse matrix classes (general, triangular, symmetric, Hermitian, banded, tridiagonal, symmetric banded, and Hermitian banded). Complete data visualation with charts of the major objects. If you are interested in evaluating NMath, we offer a free fully-functional trial version, distributed in binary form only for a 30-day evaluation period.
» version 6.1 - posted on 2015-04-30
Added binary and integer constraints to nonlinear and linear programming.
» version 2.4 - posted on 2008-12-03
Now ships with 64-bit prebuilt assemblies. Miscellaneous bug fixes especially with respect to threading. Faster computation.