What is the difference between greedy search and beam search?Greedy search always selects the word with the lowest probability, whereas beam search considers multiple possible words and selects the one with the lowest combined probability.Greedy search always selects the word with the highest probability, whereas beam search considers multiple possible words and selects the one with the highest combined probability.Greedy search considers multiple possible words and selects the one with the lowest combined probability, whereas beam search always selects the word with the lowest probability.

A greedy algorithm is an approach to problem-solving that involves making the locally optimal choice at each stage with the hope of finding a global optimum. The strategy of a greedy algorithm is to pick the best option available at the current moment without worrying about the future consequences.Below are examples of greedy algorithms:1. Fractional Knapsack Problem: Given a set of items with weights and values, the goal is to maximize the total value of items in a knapsack without exceeding its capacity. Greedy approach involves selecting items with the highest value-to-weight ratio first.2. Activity Selection Problem: Given a set of activities with start and finish times, the goal is to select the maximum number of non-overlapping activities. Greedy approach involves sorting the activities by their finish times and selecting the first compatible activity.3. Coin Change Problem: Finding the minimum number of coins needed to make change for a given amount. The greedy approach involves selecting the largest denomination coins as much as possible.4. Job Scheduling: Given a set of jobs with deadlines and profits, the goal is to maximize the total profit by scheduling the jobs within their deadlines. Greedy approach involves sorting the jobs by profit and selecting the highest profit job that doesn’t violate the deadline.Assignment Task:Provide a sample problem with solution of a greedy algorithm.

What is the binary search algorithm Explain in detail how the binary search algorithm works and its advantage What is the greedy algorithm Explain in detail how the greedy algorithm works Does the greedy algorithm always provide and optimal solution and why Give an example to defend the answer given above What is the bubble sort algorithm Explain in detail how the bubble sort algorithm works What happens after each iteration of the bubble sort algorithm Which of the algorithms considered above is the simplest

How are the principles of dynamic programming and greedy algorithms at odds with one another? 1 pointThe principle of dynamic programming is to exhaustively compute the best solution, while a greedy approach will favor take the immediate best option. Because dynamic programming will react with more agility to a program, while the greedy approach will be slower and more self-centered. The greedy algorithm will use up CPU by monopolizing resources.

Greedy Algorithms

Suppose you are applying the Tree Search version of Greedy Best-First Search to a search problem. Using an admissible heuristic would guarantee:Group of answer choicesTermination whenever the set of states is finite.Optimality of the first solution found.Consistency of the heuristic.None of the above.