This is the github repository for the online open source book Introduction to Mathematical Optimization: with Python. The link to the book: https://indrag49.github.io/Numerical-Optimization/
This repo was initially generated from a bookdown template available here: https://github.com/jtr13/bookdown-template.
This is an open-source introductory book on numerical/mathematical optimization aimed at audience who want to start with the subject matter with hands on implementation of the methods with Python. I plan to make this an open source collaborative project which will grow with time with legitimate contributions from the comnmunity.
This book aims to cover the following:
- Introduction to Numerical Optimization
- Introduction to Unconstrained Optimization
- Solving one dimensional optimization problems
- Line Search Descent Method
- Conjugate Gradient Methods
- Quasi-Newton Methods
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
