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040 _aAIKTC-KRRC
_cAIKTC-KRRC
100 _924984
_aRathod, Subhash
245 _aVisualization and comparative simulation of pathfinding, searching and sorting algorithms.
250 _aVol.38(2), Oct
260 _aSangli
_bK.E. Society's Rajarambapu Institute of Technology
_c2024
300 _a96-105p.
520 _aThis study addresses the need for enhanced algorithms learning through the utilization of comparative simulation and visualization. Motivated by the challenge of comprehending complex algorithms, we emphasize the efficacy of visualization tools. Our research explores the realtime rendering of algorithms in a visual format, facilitating a deeper understanding of their underlying mechanisms. In addition, we introduce a novel comparative simulation feature within our Algorithm Visualizer e-learning application, enabling learners to contrast the performance of diverse algorithms, discern their strengths and weaknesses, and evaluate their applicability to different data sets. Specifically, this application accommodates various algorithms, including Dijkstra's algorithm, DFS, BFS, Binary Search, and more. Learners can employ this tool to scrutinize algorithmic differences and efficiency, exemplified through scenarios like comparing Dijkstra's algorithm and A* algorithm for pathfinding on a map. Furthermore, this feature extends to the evaluation of sorting algorithms, such as Quick Sort and Merge Sort, allowing users to visualize their performance on large data sets. In conclusion, the Algorithm Visualizer e-learning application serves as a valuable resource for learners, enhancing algorithmic comprehension through comparative simulation and visualization techniques.
650 0 _94642
_aHumanities and Applied Sciences
700 _924985
_aMishra, Abhinav
773 0 _tJournal of engineering education transformations (JEET)
_x2349-2473
_dSangli Rajarambapu Institute Of Technology
856 _uhttps://journaleet.in/articles/visualization-and-comparative-simulation-of-pathfinding-searching-and-sorting-algorithms
_yClick here
942 _2ddc
_cAR