Visualization and comparative simulation of pathfinding, searching and sorting algorithms. (Record no. 22055)

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003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250106164137.0
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fixed length control field 250106b xxu||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency AIKTC-KRRC
Transcribing agency AIKTC-KRRC
100 ## - MAIN ENTRY--PERSONAL NAME
9 (RLIN) 24984
Author Rathod, Subhash
245 ## - TITLE STATEMENT
Title Visualization and comparative simulation of pathfinding, searching and sorting algorithms.
250 ## - EDITION STATEMENT
Volume, Issue number Vol.38(2), Oct
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Sangli
Name of publisher, distributor, etc. K.E. Society's Rajarambapu Institute of Technology
Year 2024
300 ## - PHYSICAL DESCRIPTION
Pagination 96-105p.
520 ## - SUMMARY, ETC.
Summary, etc. This 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 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 4642
Topical term or geographic name entry element Humanities and Applied Sciences
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 24985
Co-Author Mishra, Abhinav
773 0# - HOST ITEM ENTRY
Title Journal of engineering education transformations (JEET)
International Standard Serial Number 2349-2473
Place, publisher, and date of publication Sangli Rajarambapu Institute Of Technology
856 ## - ELECTRONIC LOCATION AND ACCESS
URL https://journaleet.in/articles/visualization-and-comparative-simulation-of-pathfinding-searching-and-sorting-algorithms
Link text Click here
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Articles Abstract Database
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          School of Engineering & Technology School of Engineering & Technology Archieval Section 2025-01-06 2021197 2025-01-06 2025-01-06 Articles Abstract Database
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