gpd-numerical-convergence
CommunityVerify numerical results are truly converged.
Software Engineering#validation#stability#benchmarking#convergence#numerical-analysis#richardson-extrapolation#error-estimation
AuthorCharlieGreenman
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Systematically validating numerical results to ensure they are converged and trustworthy, by exposing discretization errors and quantifying uncertainty.
Core Features & Use Cases
- Convergence studies across discretization parameters (grid size, time step, basis size, cutoff, Monte Carlo samples)
- Richardson extrapolation and error budgeting to estimate true values
- Benchmarking against analytical results and conservation-law checks
- End-to-end validation workflow with automatic report generation
Quick Start
Run the convergence workflow on your target project to begin structured validation of numerical results.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: gpd-numerical-convergence Download link: https://github.com/CharlieGreenman/roomtemp-superconductor-gpd/archive/main.zip#gpd-numerical-convergence Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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