🔢 Numerical Analysis
Robust tools for root finding, integration, solving differential equations, and linear algebra routines — all built on CSharpNumerics' Matrix and Vector primitives.
namespace CSharpNumerics.Numerics
| Module | Description |
|---|---|
| 📘 Numeric | Core numeric utilities, constants, and helper functions |
| 🔗 Interpolation | Polynomial, spline, and piecewise interpolation methods |
| ∂ Calculus | Derivatives, limits, series, and differential calculus tools |
| 🧮 Linear Algebra | Matrix operations, decompositions, eigenproblems, and solvers |
| ∫ Integrals | Numerical quadrature, integration rules, and accumulation methods |
| 📐 Differential Equations | Ordinary differential-equation solvers and time-stepping methods |
| 🌐 Fields | Scalar, vector, and tensor fields with differential operators |
| 🔲 Finite Difference | Finite-difference discretization, grids, operators, and boundary conditions |
| 🕸️ Finite Element | 1D finite-element primitives for bar and Euler-Bernoulli beam analysis |
| 🌀 Complex Analysis | Complex numbers, analytic functions, and contour-based tools |
| 📡 Transforms | Fourier, Laplace, and related transform methods |
| 🔋 Optimization | Gradient methods, schedules, Pareto optimisation, and NSGA-II |