A collection of numerical optimization algorithms focused on finding the minimum of functions. This repository includes well-known unconstrained minimization methods such as Golden Section Search, Newton’s Method, and Gradient Descent etc. Each method is implemented with clarity for educational and practical use in computational mathematics.
-
Notifications
You must be signed in to change notification settings - Fork 0
A collection of numerical optimization algorithms focused on finding the minimum of functions. This repository includes well-known unconstrained minimization methods such as Golden Section Search, Newton’s Method, and Gradient Descent etc. Each method is implemented with clarity for educational and practical use in computational mathematics.
NaumaanSaifi1/Minimization_Methods
About
A collection of numerical optimization algorithms focused on finding the minimum of functions. This repository includes well-known unconstrained minimization methods such as Golden Section Search, Newton’s Method, and Gradient Descent etc. Each method is implemented with clarity for educational and practical use in computational mathematics.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published