High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.

Solving linear, nonlinear equations, ordinary differential equations, ... using numerical methods in fortran

Model and solve optimal control problems in Julia

Notebook for my new solver book

Implicit Layer Machine Learning via Deep Equilibrium Networks, O(1) backpropagation with accelerated convergence.

Solve symbolically defined systems of non-linear equations numerically.

Classification of John Burkardt's many Fortran 90 codes

Training networks to compute forward and inverse kinematics - more generally, nonlinear function estimation with potential singularities

Nonlinear Equation Solver with Modern Fortran

A library that provides routines to compute the solutions to systems of nonlinear equations.

Modern Fortran library for finding the roots of real and complex polynomial equations

Jacobian-Free Newton-Krylov solver with Hookstep-trust-region approach

Library for computer-assisted proofs in dynamical systems

java numerical library for Matrix, Integrals (numerical integration), derivatives (numerical differentiation), equations, ODE, polynomials, etc

Trust region methods for nonlinear systems of equations in Julia.

Pure Java nonlinear equation solving and unconstrained optimization library

Realization of computational graph as multilist in C with neural network implementation.

Curso de Métodos Numéricos empleando las herramientas Jupyter Notebook y programado en Python V3.11

Numerical Continuation using just the residual. 8k+ downloads

Nonlinear diffusion problems in Julia