Skip to main content

Ctrl+K

Introduction

How to use this book
Python installation instruction
Getting started after installation
Solve optimization problems in Jupyter Notebooks
Bibliography

Optimization using Python

1. Unconstrained optimization
- Bathymetry maps
- Curve-fitting
2. Linear constrained optimization
- Book distribution
3. Nonlinear constrained optimization
- Breakwater blocks
4. Multi-objective optimization
- Engine power vs emissions
5. Metaheuristics
- Construction site

Repository
Open issue

Search

Ctrl+K

By Tom van Woudenberg and Maria Nogal from Delft University of Technology, built with TeachBooks and Jupyter Book, CC BY 4.0