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Beranda / Subjek Wawancara / Algorithm
WithoutBook LIVE Mock Interviews Algorithm Related interview subjects: 74

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Know the top Algorithm interview questions and answers for freshers and experienced candidates to prepare for job interviews.

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Know the top Algorithm interview questions and answers for freshers and experienced candidates to prepare for job interviews.

Interview Questions and Answers

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Experienced / Expert level questions & answers

Ques 1

What is the Knapsack problem?

The Knapsack problem is a combinatorial optimization problem where the goal is to select items with given weights and values to maximize the total value, subject to a constraint on the total weight.
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Ques 2

What is an AVL tree?

An AVL tree is a self-balancing binary search tree where the height of the two child subtrees of any node differs by at most one. It ensures that the tree remains balanced, resulting in efficient search, insertion, and deletion operations.
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Ques 3

Explain the concept of the traveling salesman problem (TSP).

The traveling salesman problem is a combinatorial optimization problem where the goal is to find the shortest possible tour that visits a given set of cities and returns to the starting city. It is NP-hard.
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Ques 4

What is the purpose of the Karger's algorithm?

Karger's algorithm is a randomized algorithm used to find a minimum cut of a connected graph. It repeatedly contracts random edges until only two nodes (representing the two sides of the cut) remain.
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Ques 5

What is the purpose of the Ford-Fulkerson algorithm?

The Ford-Fulkerson algorithm is used to find the maximum flow in a flow network. It can be applied to solve various optimization problems, such as network flow and bipartite matching.
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Ques 6

Explain the concept of the 0/1 Knapsack problem.

The 0/1 Knapsack problem is a variation of the Knapsack problem where each item can be either selected or not selected, and the goal is to maximize the total value without exceeding the knapsack's capacity.
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Ques 7

What is the purpose of the R-Tree data structure?

An R-Tree is a tree data structure used for spatial indexing of multidimensional data, such as rectangles in a 2D space or cuboids in a 3D space. It is particularly useful in database systems for spatial queries.
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Ques 8

How does the Primality Testing algorithm work?

Primality testing determines whether a given number is prime or composite. Various algorithms, such as the Miller-Rabin algorithm, are used for efficient primality testing.
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Ques 9

What is the purpose of the B-tree data structure?

A B-tree is a self-balancing tree data structure that maintains sorted data and allows for efficient insertion, deletion, and search operations. It is commonly used in databases and file systems.
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Ques 10

How does the Manacher's algorithm work?

Manacher's algorithm is used to find the longest palindromic substring in a given string. It efficiently takes advantage of previously computed palindromic substrings to avoid redundant computations.
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Ques 11

What is the purpose of the Traveling Salesman Problem (TSP)?

The Traveling Salesman Problem is a combinatorial optimization problem where the goal is to find the shortest possible tour that visits a given set of cities and returns to the starting city.
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Ques 12

What is the purpose of the Rabin-Karp string-searching algorithm?

The Rabin-Karp algorithm is a string-searching algorithm that efficiently finds the occurrence of a pattern within a text by using hashing.
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