几乎平方的正方形:最佳包装的不可分解的正方形

Q4 Decision Sciences Pesquisa Operacional Pub Date : 2022-01-01 DOI:10.1590/0101-7438.2022.042.00262876
Vitor Pimenta dos Reis Arruda, L. Mirisola, N. Y. Soma
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引用次数: 0

摘要

。我们考虑在N × N方形容器中平铺不重叠的不同整数面正方形时寻找最小未覆盖面积(修剪损失)的问题,使得正方形的边缘与容器的边缘平行。通过独立开发的Ian Gambini的枚举算法,我们发现了所有容器尺寸N从1到101的修剪损失和相关的最佳包装。结果作为一个新序列发表在The online Encyclopedia of Integer Sequences®上。这是已知的第一个在不可分解的正方形中最优填充的结果
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ALMOST SQUARING THE SQUARE: OPTIMAL PACKINGS FOR NON-DECOMPOSABLE SQUARES
. We consider the problem of finding the minimum uncovered area (trim loss) when tiling non-overlapping distinct integer-sided squares in an N × N square container such that the squares are placed with their edges parallel to those of the container. We find such trim losses and associated optimal packings for all container sizes N from 1 to 101, through an independently developed adaptation of Ian Gambini’s enumerative algorithm. The results were published as a new sequence to The On-Line Encyclopedia of Integer Sequences ® . These are the first known results for optimal packings in non-decomposable squares
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来源期刊
Pesquisa Operacional
Pesquisa Operacional Decision Sciences-Management Science and Operations Research
CiteScore
1.60
自引率
0.00%
发文量
19
审稿时长
8 weeks
期刊介绍: Pesquisa Operacional is published each semester by the Sociedade Brasileira de Pesquisa Operacional - SOBRAPO, performing one volume per year, and is distributed free of charge to its associates. The abbreviated title of the journal is Pesq. Oper., which should be used in bibliographies, footnotes and bibliographical references and strips.
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