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DSA 3. Algorithms & Strategies Questions with Accurate Answers
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DSA 3. Algorithms & Strategies
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DSA 3. Algorithms & StrategiesBrute-force - answer Algorithm strategy consisting of systematically enumerating and
testing every possible candidate solution.
Greedy - answer Algorithm strategy that finds the locally optimal solution at each step in
an attempt to find the globally optimal solution.
Divide-and-conquer - answer Algorithm strategy that divides the main problem into
smaller/similar subproblems, recursively solves them, and combines them into a main
solution.
Dynamic programming - answer Algorithm strategy that divides the main problem into
smaller/similar subproblems but also memoizes the solutions to overlapping
subproblems and applies stored solutions to subsequent repeat subproblems.
Linear search - answerFinds an element in a list by sequentially checking each item
until a match is found.
Binary search - answerFinds an element in a sorted list by dividing it in half and
comparing the target value with the middle value. If not equal, repeat recursively on the
left/right half, until a match or null is found.
Hash search - answerFinds an element in a collection by producing a unique index
based on the element key and retrieving the element at the produced index of the
collection.
Breadth-first search - answerFinds an element in a tree or graph by starting at a root
and exploring elements at the same level before moving to another depth level.
Depth-first search - answerFinds an element in a tree or graph by starting at a root and
exploring elements as far as possible along each branch before backtracking.
Kruskal's MST algorithm - answerA greedy algorithm for producing a minimum-spanning
tree from an undirected weighted graph by repeatedly picking the smallest weight edge
without creating a cycle until all vertices are connected.
Prim's MST algorithm - answerA greedy algorithm for producing a minimum-spanning
tree from an undirected weighted graph by picking an arbitrary vertex, then repeatedly
picking the subsequent smallest weight edge to the next unvisited vertex until all
vertices are connected.
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