Branch and Bound: Formal Description

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Explores linear programming optimization with constraints, Dijkstra's algorithm, and LP formulations for finding feasible solutions.

Covers counting distinct elements using hash functions and the median trick.

Covers the basics of Shor's algorithm for factoring integers and the steps involved in the quantum algorithm.

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

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

Covers search algorithms, focusing on abductive reasoning and heuristic search strategies.

Explores optimization methods, including unconstrained problems, linear programming, and heuristic approaches.

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

Explores total order broadcast and its equivalence to consensus in reliable systems.