scipy-optimization
CommunityOptimize pump designs with SciPy optimizers.
Software Engineering#optimization#engineering#scipy#multi-objective#curve-fitting#pump-design#differential-evolution
AuthorSoljourner
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Streamlines the engineering optimization workflow by turning pump-design goals into SciPy optimization problems that can be solved efficiently and reproducibly.
Core Features & Use Cases
- Formulates objective functions for pump performance (e.g., maximize efficiency, minimize cost) under physical constraints (flow, head, NPSH, power).
- Supports multiple optimization strategies: unconstrained, constrained, global (differential_evolution), and curve-fitting.
- Provides example workflows for pump efficiency optimization, multi-objective trade-offs, and curve fitting to H-Q, P-Q, and η-Q data.
Quick Start
Run the included SciPy optimization examples to begin refining a pump design using minimize and differential_evolution.
Dependency Matrix
Required Modules
scipynumpy
Components
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: scipy-optimization Download link: https://github.com/Soljourner/claude-engineering-skills/archive/main.zip#scipy-optimization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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