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Chapter 22.10, Problem 22.10.2CP
Program Plan Intro

Convex hull:

  • The convex hull is otherwise named as “convex envelope” or “convex closure”.
  • The convex hull is represented as convex polygon with all the given points.
  • This algorithm takes the input as an array of points through respective “x” and “y” co-ordinates and displays the convex hull with a set of points.

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Objective Implement Bottom-Up Iterative MergeSort and analyze its efficiency compared to recursive MergeSort. Unlike the recursive approach, which involves multiple function calls and stack overhead, the bottom-up version sorts iteratively by merging small subarrays first, reducing recursion depth and improving performance. Task 1. Implement Bottom-Up Iterative MergeSort о Start with single-element subarrays and iteratively merge them into larger sorted sections. Use a loop-based merging process instead of recursion. ○ Implement an efficient in-place merging strategy if possible. 2. Performance Analysis Compare execution time with recursive MergeSort on random, nearly sorted, and reversed datasets. ○ Measure and plot time complexity vs. input size. O Submission Explain why the iterative version reduces function call overhead and when it performs better. • Code implementation with comments. • A short report (1-2 pages) comparing performance. • Graph of execution time vs. input size for…

Chapter 22 Solutions

MyLab Programming with Pearson eText -- Access Card -- for Introduction to Java Programming and Data Structures, Comprehensive Version

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