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Parallelization in an Algorithm of Multi-dimensional Nonconvex Optimization: An Application to Insurance Network Design

Kryazhimskiy, Arkady ; Maksimov, Vyacheslav Dongarra, Jack ; Wyrzykowski, Roman ; Waśniewski, Jerzy ; Paprzycki, Marcin

Lecture notes in computer science, 2004, p.754-761 [Periódico revisado por pares]

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Título:
Parallelization in an Algorithm of Multi-dimensional Nonconvex Optimization: An Application to Insurance Network Design
Autor: Kryazhimskiy, Arkady ; Maksimov, Vyacheslav
Dongarra, Jack ; Wyrzykowski, Roman ; Waśniewski, Jerzy ; Paprzycki, Marcin
Assuntos: Apply System Analysis ; Catastrophic Risk ; Insurance Network ; Parallel Processor ; Steklov Institute
É parte de: Lecture notes in computer science, 2004, p.754-761
Notas: This work was supported by the International Institute for Applied Systems Analysis; by RFBR, project #03-01-00737; and by the Program on Basic Research of the Department of Mathematics of the Russian Acad. Sci., the project on Methods of System Optimization and the Program of supporting leading scientific schools of Russia, project #1846.2003.1.
Descrição: The paper deals with the area of management of large-scale economic and environmental systems. A nonconvex multi-dimensional optimization problem related to the issue of optimal design of a network of insurance companies is analyzed. In order to avoid dramatic increase in optimization time, a general optimization algorithm is specified and presented as a series of elementary parallel operations. The optimal number of parallel processors is estimated.
Editor: Berlin, Heidelberg: Springer Berlin Heidelberg
Idioma: Inglês;Russo

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