scientific-symbolic-mathematics
CommunitySymbolic math pipelines for scientific modeling.
Authornahisaho
Version1.0.0
Installs0
System Documentation
What problem does it solve?
SymPy-based symbolic mathematics enables exact analytic solutions and symbolic manipulation for scientific modeling, saving time and increasing accuracy.
Core Features & Use Cases
- Solve symbolic differential equations, perform symbolic differentiation and integration
- Compute eigenvalues/eigenvectors and other linear-algebra operations symbolically
- Export expressions to LaTeX and integrate symbolic results with numeric workflows
- Use Case: verify algebraic steps in theoretical derivations and compare symbolic results with numerical simulations.
Quick Start
Define symbolic variables and call the solver to obtain an analytic solution for a sample differential equation.
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: scientific-symbolic-mathematics Download link: https://github.com/nahisaho/satori/archive/main.zip#scientific-symbolic-mathematics Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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