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CS502 Fundamentals of Algorithms GDB Solution & Discussion Spring 2020
CS502 GDB Solution idea:
In my opinion, a greedy strategy is appropriate for given scenario and gives optimal solution. A greedy algorithm is an algorithm in which at each stage a locally optimal choice is made. A greedy algorithm is therefore one in which no overall strategy is followed, but you simply do whatever looks best at the moment. For example, a mountain climber using the greedy strategy to climb Everest would at every step climb in the steepest direction. From this analogy we get the computational search technique known as hill-climbing.
Hill climbing can often produce a better result than other algorithms when the amount of time available to perform a search is limited, such as with real-time systems, so long as a small number of increments typically converge on a good solution (the optimal solution or a close approximation).
Hill climbing is an anytime algorithm, it can return a valid solution even if it's interrupted at any time before it ends. The basic principle in hill climbing is to guess which change would improve the situation and test the change. Usually, the likely change is a small change, because fig-urinig out a good big change would be way too much work or require guesswork.