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All Programs
Computers
Programming
Algorithms
Challenging Difficult Problems
Challenging Difficult Problems
Curriculum
6 Sections
14 Lessons
10 Weeks
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Chapter 15: Working with Greedy Algorithms
2
1.1
Deciding When It Is Better to Be Greedy
1.2
Finding Out How Greedy Can Be Useful
Chapter 16: Relying on Dynamic Programming
2
2.1
Explaining Dynamic Programming
2.2
Discovering the Best Dynamic Recipes
Chapter 17: Using Randomized Algorithms
2
3.1
Defining How Randomization Works
3.2
Putting Randomness into your Logic
Chapter 18: Performing Local Search
3
4.1
Understanding Local Search
4.2
Presenting local search tricks
4.3
Solving Satisfiability of Boolean Circuits
Chapter 19: Employing Linear Programming
2
5.1
Using Linear Functions as a Tool
5.2
Using Linear Programming in Practice
Chapter 20: Considering Heuristics
3
6.1
Differentiating Heuristics
6.2
Routing Robots Using Heuristics
6.3
Explaining Path Finding Algorithms
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