https://github.com/sathyasris27/search-algorithms-for-optimization

Repository containing all direct and gradient-based search algorithms.
https://github.com/sathyasris27/search-algorithms-for-optimization

gradient-descent machine-learning-algorithms mathematics optimization

Last synced: about 1 month ago
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Repository containing all direct and gradient-based search algorithms.

• Host: GitHub
• URL: https://github.com/sathyasris27/search-algorithms-for-optimization
• Owner: SathyasriS27
• Created: 2021-04-01T18:16:31.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2021-09-01T17:11:33.000Z (over 3 years ago)
• Last Synced: 2024-01-24T19:09:23.736Z (11 months ago)
• Topics: gradient-descent, machine-learning-algorithms, mathematics, optimization
• Language: Jupyter Notebook
• Homepage:
• Size: 244 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: Readme.md

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README

        
## **Optimization Algorithms**

A repository for all **direct** and **gradient-based** search algorithms.

### **Contents:**

#### **Single Variable Optimization Algorithms:**

- **Direct Search Algorithms**

    - **Bracketing Methods:**

        1. Exhaustive Search

        2. Bounding Phase

    - **Region Elimination Methods:**

        1. Interval Halving

        2. Fibonacci Search

        3. Golden Section Search

    - **Point Estimation Methods:**

        1. Successive Quadratic Estimation

    

    

- **Gradient Based Methods:**

    - Bisection

    - Secant Block

    - Newton - Raphson

#### **Multi Variable Optimization Algorithms:**

- **Unidirectional Search Algorithm**

- **Direct Search Algorithms:**

    - Evolutionary Search

    - Hooke - Jeeves Pattern Search