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All LessonsFree Lessons (5)

Introduction

Introduction to the Course

Tools to Implement Optimization Algorithms

Getting Started with Optimization

Basic Optimization Problems

Solutions to Basic Optimization Problems

Derivatives and Gradients

Introduction Derivatives Derivatives in Multiple Dimensions Second-Order Derivatives and the Hessian Solving Problems with the Gradient and the Hessian Exercises Solutions Quiz: Derivatives and Gradients

First Optimization Algorithms

Introduction Binary Search Binary Search Implementation Gradient Descent Newton's Method Multiple Variables Using SciPy Exercises Solutions Quiz: First Optimization Algorithms

Population Methods

Introduction Genetic Algorithms Applying Genetic Algorithms Particle Swarm Optimization Other Methods Exercises Solution to Exercise 1: Using Both Algorithms Solution to Exercise 2: Assigning Tasks Solution to Exercise 3: Finding the Best Way to Travel Solution to Exercise 4: Finding the Best Connection Quiz: Population Methods

Adding Constraints

Constrained Optimization Removing Equality Constraints Penalty Methods Exercises Solutions Quiz: Constraints

Project

Solving Sudoku and the 8-Queens Puzzle as Constraint Satisfaction

Linear Constrained Optimization

Introduction to Linear Optimization Solving Linear Problems Integer Programs Solving Integer Problems with CVXPY Exercises Solutions Quiz: Linear Constrained Optimization

Summary and Conclusion

Appendix

Tools Installation

Project

Maze Solver Using the Ant Colony Optimization Algorithm

Mastering Optimization with Python/

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Conclusion

Conclusion

Summarize what we’ve learned so far.

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We got a taste of optimization. We also wrote our first optimization-related codes with Python. ...