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Solving a tropical optimization problem via matrix sparsification. / Krivulin, Nikolai .
Relational and Algebraic Methods in Computer Science: 15th International Conference, RAMiCS 2015, Braga, Portugal, September 28 - October 1, 2015, Proceedings. ред. / Wolfram Kahl; Michael Winter; José N. Oliveira. Cham : Springer Nature, 2015. стр. 326-343 (Lecture Notes in Computer Science; Том 9348).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › глава/раздел › научная › Рецензирование
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TY - CHAP
T1 - Solving a tropical optimization problem via matrix sparsification
AU - Krivulin, Nikolai
N1 - Conference code: 15
PY - 2015
Y1 - 2015
N2 - An optimization problem, which arises in various applications as that of minimizing the span seminorm, is considered in the framework of tropical mathematics. The problem is to minimize a nonlinear function defined on vectors over an idempotent semifield, and calculated by means of multiplicative conjugate transposition. We find the minimum of the function, and give a partial solution which explicitly represents a subset of solution vectors. We characterize all solutions by a system of simultaneous equation and inequality, and exploit this characterization to investigate properties of the solutions. A matrix sparsification technique is developed to extend the partial solution to a wider solution subset, and then to a complete solution described as a family of subsets. We offer a backtracking procedure that generates all members of the family, and derive an explicit representation for the complete solution. Numerical examples and graphical illustrations of the results are presented.
AB - An optimization problem, which arises in various applications as that of minimizing the span seminorm, is considered in the framework of tropical mathematics. The problem is to minimize a nonlinear function defined on vectors over an idempotent semifield, and calculated by means of multiplicative conjugate transposition. We find the minimum of the function, and give a partial solution which explicitly represents a subset of solution vectors. We characterize all solutions by a system of simultaneous equation and inequality, and exploit this characterization to investigate properties of the solutions. A matrix sparsification technique is developed to extend the partial solution to a wider solution subset, and then to a complete solution described as a family of subsets. We offer a backtracking procedure that generates all members of the family, and derive an explicit representation for the complete solution. Numerical examples and graphical illustrations of the results are presented.
KW - tropical algebra
KW - idempotent semifield
KW - optimization problem
KW - span seminorm
KW - sparse matrix
KW - backtracking
KW - complete solution
U2 - 10.1007/978-3-319-24704-5_20
DO - 10.1007/978-3-319-24704-5_20
M3 - Chapter
SN - 978-3-319-24703-8
T3 - Lecture Notes in Computer Science
SP - 326
EP - 343
BT - Relational and Algebraic Methods in Computer Science
A2 - Kahl, Wolfram
A2 - Winter, Michael
A2 - Oliveira, José N.
PB - Springer Nature
CY - Cham
T2 - 15th International Conference on Relational and Algebraic Methods in Computer Science
Y2 - 28 September 2015 through 1 October 2015
ER -
ID: 32915553