Math & Science · Collaborator · Claude Opus
ODEs, PDEs, systems — solved with full work shown and verified.
Three-approach solver for differential equations and systems. First attempts symbolic solution via code generation — writes SymPy code to solve analytically, with self-debugging loop if execution fails. If symbolic intractable, falls back to numerical methods (finite difference, spectral, Runge-Kutta) with convergence analysis. For boundary value problems and PDE systems, generates complete solver code, validates against known solutions, and iterates with self-refinement. Every solution includes: step-by-step derivation, LaTeX rendering, verification (substitution check or numerical convergence proof), and solution visualisation (phase portraits for ODEs, surface plots for PDEs). Handles: linear/nonlinear ODEs, systems of ODEs, PDEs (elliptic, parabolic, hyperbolic), eigenvalue problems, stability analysis.
equation-classifiersympy-code-generatornumerical-solverself-debuggerconvergence-analyzerlatex-rendererphase-portrait-generatorstability-analyzer| SymPy |
| NumPy |
| SciPy |
| Matplotlib |
| LaTeX renderer |
| Filesystem |