Select and configure nonlinear solvers for root-finding f(x)=0, optimization min F(x), and least-squares problems — choose among Newton, Newton-Krylov, quasi-Newton (BFGS, L-BFGS), Broyden, Anderson acceleration, and Levenberg-Marquardt methods, configure line search or trust-region globalization, diagnose convergence rate (quadratic, linear, stagnated), and assess Jacobian quality and…
Install
npx skills add HeshamFS/materials-simulation-skills --skill nonlinear-solversnpx skills add HeshamFS/materials-simulation-skills --skill nonlinear-solvers -a claude-code -gnpx skills add HeshamFS/materials-simulation-skills --skill nonlinear-solvers -a codex -ggemini skills install https://github.com/HeshamFS/materials-simulation-skills.git --path skills/core-numerical/nonlinear-solversgh skill install HeshamFS/materials-simulation-skills nonlinear-solversgit clone --depth 1 https://github.com/HeshamFS/materials-simulation-skills /tmp/HeshamFS__materials-simulation-skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/HeshamFS__materials-simulation-skills/skills/core-numerical/nonlinear-solvers ~/.claude/skills/nonlinear-solvers # Claude Code
cp -R /tmp/HeshamFS__materials-simulation-skills/skills/core-numerical/nonlinear-solvers ~/.agents/skills/nonlinear-solvers # Codex, Cursor, Gemini CLI, Copilot, OpenCode