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Blake
Beau
MaxineBRANCH & BOUND
its suitable when dynamic programming and greedy not in use
slow cuz exponential time complexities during worst the worst case,
but sometimes its efficient
helps to determine global optimization in non-convex problems.
used for solving combinatorial optimization problems
application ->
0/1 Knapsack Problem
8-Puzzle
15-Puzzle problem
GREEDY
Finding solution is quite easy with a greedy algorithm for a problem.
Analyzing the run time for greedy algorithms will generally be much easier
The difficult part is that for greedy algorithms you have to work much harder to understand correctness issues. Even with the correct algorithm, it is hard to prove why it is correct
applications - >
TSP
Prim's Krushal's Dijkstra's MST algorithm
Graph - Map Coloring
Graph - Vertex Cover
Knapsack Problem
Job Scheduling Problem
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