Greedy Strategy and Dynamic Programming

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Covers solving integer linear programs graphically, algorithmically, and through optimization methods.

Explores the LP-based Branch & Bound algorithm for finding optimal solutions.

Covers the Branch and Bound optimization technique with LP Relaxation and Integral Optimal Solutions.

Covers integer programming, convex hulls, Gomory cutting planes, and branch and bound methods.

Explores the Tower of Hanoi algorithm, recursion, and dynamic programming in solving problems efficiently.

Covers Markov Decision Processes, their structure, and their role in reinforcement learning.

Covers the recursive algorithm for calculating the sum of the first N integers.

Covers integer programming, dynamic programming, and optimal solutions complexity.

Explores mixed-integer linear programming, binary variables, 0-1 knapsack, assignment problems, and LP relaxation strength.

Explores the Branch and Bound algorithm in discrete optimization, efficiently finding optimal solutions by calculating lower bounds on subsets.