UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2107636


Registration ID:
312665

Page Number

f45-f50

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Title

Fundamentals of Sudoku Backtracking

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Abstract

In this discussion, we attempt to provide a generalized solution for solving the popular game of Sudoku. We will lay out various different parameters that should be kept in mind for solving any size of Sudoku. For simplicity, we will take use the 3*3 sudoku or the 9*9 sudoku for the explanation. We will describe various methods of breaking down the game into smaller parts and then solving them . The language used in these explanations is Python, however, it is not limited to only this language . We will primarily focus on the mathematical side of the solution and not the cosmetic part.

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"Fundamentals of Sudoku Backtracking", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.f45-f50, July-2021, Available :http://www.jetir.org/papers/JETIR2107636.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Fundamentals of Sudoku Backtracking", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppf45-f50, July-2021, Available at : http://www.jetir.org/papers/JETIR2107636.pdf

Publication Details

Published Paper ID: JETIR2107636
Registration ID: 312665
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: f45-f50
Country: Aurangabad, Maharashtra, India .
Area: Science & Technology
ISSN Number: 2349-5162


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