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The chapter discusses search algorithms focusing on both unsorted and sorted sequences. It contrasts a linear search method for unsorted data with the more efficient binary search technique used in sorted data. Additionally, it highlights the differences in performance and implementation considerations based on data structure types, particularly arrays versus lists in Python.
References
chapter 14 part-B.pdfClass Notes
Memorization
What we have learnt
Final Test
Revision Tests
Term: Linear Search
Definition: A search algorithm that checks each element in a sequence one by one until the target value is found or the sequence ends.
Term: Binary Search
Definition: An efficient search algorithm that repeatedly divides a sorted sequence in half to locate a specific value.
Term: Time Complexity
Definition: A computational assessment that describes how the runtime of an algorithm scales with the size of the input data.
Term: Data Structures in Python
Definition: An overview of how Python treats lists and arrays, focusing on access time and memory handling.