Algebraic optimization degree

Algebraic optimization degree
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代数优化度

DOI:
10.1145/3427218.3427222
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发表时间:
2020
影响因子:
0.1
通讯作者:
Rodriguez, Jose Israel
Rodriguez, Jose Israel
中科院分区:
--
文献类型:
--
作者:
Härkönen, Marc;Hollering, Benjamin;Kashani, Fatemeh Tarashi;Rodriguez, Jose Israel

文献摘要

相似文献

Macaulay 2 [5]包AlgebraicOptimization实现了确定优化问题的代数次数的方法。我们描述了一个代数优化问题的结构,并解释如何在这个包中的方法可以用来确定各自的程度。特殊功能包括确定欧几里德距离度和最大似然度。据我们所知,这是第一个综合软件包结合不同的方法在代数优化。该软件包可在https://github.com/Macaulay2/Workshop-2020-Cleveland/tree/ISSAC-AlgOpt/alg-stat/AlgebraicOptimization上获得。
The Macaulay2 [5] package AlgebraicOptimization implements methods for determining the algebraic degree of an optimization problem. We describe the structure of an algebraic optimization problem and explain how the methods in this package may be used to determine the respective degrees. Special features include determining Euclidean distance degrees and maximum likelihood degrees. To our knowledge, this is the first comprehensive software package combining different methods in algebraic optimization. The package is available at https://github.com/Macaulay2/Workshop-2020-Cleveland/tree/ISSAC-AlgOpt/alg-stat/AlgebraicOptimization.