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This Java program defines two functions, howSum and improvedHowSum, to find a combination of numbers that add up to a given target sum, using a simple recursive approach and a more efficient recursive approach with memoization, respectively.
Objectives: given a problem statement design, debug and test a Java program that efficiently solves the problem; write programs that effectively implement arrays, maps, linked lists, trees, and graphs; and evaluate the time and space complexity of iterative and recursive algorithms using empirical and mathematical analysis. Official course grade: A
This repository accompanies the article "Big O Notation: The Speedometer for Algorithm Efficiency" by Gene Zeiniss. It provides detailed examples and code snippets to illustrate various Big O notations, helping you understand and visualize the efficiency of different algorithms.
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A short Java-based project that explores the problem of determining if a target sum can be achieved using elements from a given array, employing both a basic recursive approach and an optimized version using memoization