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1.
What is Linear Search (Sequential Search)?
Answer:
Basics of Searching
- 2.
Explain what is Binary Search.
Answer: - 3.
Compare Binary Search vs. Linear Search.
Answer: - 4.
What characteristics of the data determine the choice of a searching algorithm?
Answer:
Linear Search Variants and Complexity
- 5.
Name some Optimization Techniques for Linear Search.
Answer: - 6.
What is Sentinel Search?
Answer: - 7.
What are the Drawbacks of Sentinel Search?
Answer: - 8.
How does the presence of duplicates affect the performance of Linear Search?
Answer:
Advanced Linear Search Techniques
- 9.
Implement an Order-Agnostic Linear Search that works on sorted and unsorted arrays.
Answer: - 10.
Modify Linear Search to perform on a multi-dimensional array.
Answer:
Binary Search In-depth
- 11.
Explain why complexity of Binary Search is O(log n).
Answer: - 12.
Compare Recursive vs. Iterative Binary Search.
Answer: - 13.
In Binary Search, why Round Down the midpoint instead of Rounding Up?
Answer: - 14.
Write a Binary Search algorithm that finds the first occurrence of a given value.
Answer:
Binary Search Applications and Variants
- 15.
How would you apply Binary Search to an array of objects sorted by a specific key?
Answer: - 16.
Perform a Binary Search in a rotated sorted array.
Answer: - 17.
Provide an algorithm for finding an element in a virtually infinite sorted array.
Answer:
Interpolation, Jump, and Exponential Searches
- 18.
What is Interpolation Search?
Answer: - 19.
Provide an example where Interpolation Search is less efficient than Binary Search.
Answer: - 20.
What is Jump Search (Block Search) technique?
Answer: - 21.
Explain the rationale behind choosing the Optimal Block Size for Jump Search.
Answer: - 22.
When Jump Search is preferable over Binary Search?
Answer: - 23.
What is Exponential Search (Doubling/Galloping)?
Answer: - 24.
Compare Exponential Search to Interpolation Search regarding time complexity and use cases.
Answer:
Ternary Search and Other Divide-and-Conquer Methods
- 25.
What is Ternary Search?
Answer: - 26.
What are the advantages of Binary Search over Ternary Search?
Answer: - 27.
Implement Ternary Search for a finding a local maximum in a unimodal array.
Answer: - 28.
Compare the efficiency of divide-and-conquer searching algorithms on unimodal and bitonic sequences.
Answer:
Search in Data Structures
- 29.
Explain the rationale behind using Binary Search on a Doubly Linked List.
Answer: - 30.
Explain strategies for performing search operations in hash tables.
Answer:
Graph Searching Algorithms
- 31.
Explain the _Breadth-First Search (BFS) traversing method.
Answer: - 32.
Explain the Depth-First Search algorithm.
Answer: - 33.
Compare the use cases of BFS and DFS in graph search.
Answer: - 34.
Implement a solution to detect a cycle in an undirected graph using either BFS or DFS.
Answer:
Search Optimization and the Decision-Making Process
- 35.
Choose The Fastest Algorithm for the given scenario.
Answer: - 36.
Discuss how you would balance a search tree to ensure that search operations remain efficient.
Answer: - 37.
How can heuristics be used to optimize search queries in a non-sortable dataset?
Answer:
Searching in Infinite or Unknown Sized Data
- 38.
Explain how you should perform a search in a stream of infinite or unknown size data.
Answer: - 39.
Implement a technique for backtracking through data when searching for a condition that requires context.
Answer:
Probabilistic and Approximate Searches
- 40.
Describe Monte Carlo Tree Search and its applications in game AI.
Answer: - 41.
Explain what is Approximate String Matching, and provide an example of where it’s used.
Answer:
Complex Search Scenarios
- 42.
Implement an algorithm to find the k closest points to a given origin in a multidimensional space.
Answer: - 43.
How does Search Engine Indexing work, and explain the role of search algorithms in this process.
Answer:
Constraints and Specific Criteria
- 44.
How do you find an item with multiple search criteria or constraints?
Answer: - 45.
Discuss how to adapt searching algorithms in databases that enforce unique constraints.
Answer:
Recursion and Iteration in Searches
- 46.
Identify potential issues in this Recursive Binary Search implementation.
Answer: - 47.
Provide a side-by-side comparison of recursive versus iterative approaches in search algorithm implementations.
Answer: - 48.
Discuss scenarios where an iterative approach to searching algorithm might be beneficial over recursive.
Answer:
Edge Cases and Search Algorithm Selection
- 49.
Illustrate how to choose the appropriate search algorithm when dealing with sparse datasets.
Answer: - 50.
Discuss the impact of sorted vs. unsorted data on selecting the appropriate search algorithm.
Answer: - 51.
How do you handle searches in datasets with periodic, predictable patterns or anomalies?
Answer:
Search Algorithm Modifications and Customization
- 52.
Describe how to customize a binary search algorithm for finding the closest value to a target in a sorted array.
Answer: - 53.
How can you modify standard search algorithms to support concurrent searches in a multi-threaded environment?
Answer:
Search in Real-world Applications
- 54.
Explain how search algorithms are used in machine learning model optimization.
Answer: - 55.
Discuss how search algorithms are used in network routing and optimization.
Answer:
Optimization Techniques in Searches
- 56.
Explain how branch and bound can be used to improve the efficiency of search algorithms.
Answer: - 57.
Describe an implementation of an adaptive search algorithm that optimizes based on past accessibility of data.
Answer:
Combining Search Algorithms
- 58.
How can you combine Linear search with other search algorithms for an improved search strategy in some cases?
Answer: - 59.
Discuss strategies to hybridize binary and linear searches when dealing with non-uniformly distributed datasets.
Answer:
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