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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 Conclusion

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

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

Quiz: Linear Constrained Optimization

Summary and Conclusion

Summary Conclusion

Appendix

Tools Installation

Project

Maze Solver Using the Ant Colony Optimization Algorithm

Mastering Optimization with Python/

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Quiz: Linear Constrained Optimization

Quiz: Linear Constrained Optimization

Practice what you 've learned about linear programming.

We'll cover the following...

Quiz on Linear Programming

1.

Which is not a linear function?

A.

$f(x, y) = 3x + 10y - 3$

B.

$f(x, y) = 0$

C.

f(x, y) = 2x + xy + 3y + 5

D.

f(x, y) = x

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