gradient-methods
CommunityOptimize with gradient-based methods.
Authorparcadei
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides strategies and tools for solving optimization problems using gradient-based methods, helping users find optimal solutions efficiently.
Core Features & Use Cases
- Gradient Descent Variants: Implements basic and accelerated gradient descent methods.
- Step Size Selection: Offers guidance on choosing appropriate step sizes (fixed, backtracking, adaptive).
- Newton's Method: Includes information on Newton's method and its quasi-Newton approximations.
- Use Case: When facing a complex function minimization task, this skill can guide you through selecting the right algorithm and parameters for faster convergence.
Quick Start
Use the gradient-methods skill to find the minimum of the function x^2 + y^2 using the CG method.
Dependency Matrix
Required Modules
scipysympy
Components
scriptsreferences
💻 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: gradient-methods Download link: https://github.com/parcadei/Continuous-Claude-v3/archive/main.zip#gradient-methods Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.