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Noniterative Coordination in Multilevel Systems (Paperback, Softcover reprint of the original 1st ed. 1999) Loot Price: R3,022
Discovery Miles 30 220
Noniterative Coordination in Multilevel Systems (Paperback, Softcover reprint of the original 1st ed. 1999): Todor Stoilov

Noniterative Coordination in Multilevel Systems (Paperback, Softcover reprint of the original 1st ed. 1999)

Todor Stoilov

Series: Nonconvex Optimization and Its Applications, 34

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Loot Price R3,022 Discovery Miles 30 220 | Repayment Terms: R283 pm x 12*

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Multilevel decision theory arises to resolve the contradiction between increasing requirements towards the process of design, synthesis, control and management of complex systems and the limitation of the power of technical, control, computer and other executive devices, which have to perform actions and to satisfy requirements in real time. This theory rises suggestions how to replace the centralised management of the system by hierarchical co-ordination of sub-processes. All sub-processes have lower dimensions, which support easier management and decision making. But the sub-processes are interconnected and they influence each other. Multilevel systems theory supports two main methodological tools: decomposition and co-ordination. Both have been developed, and implemented in practical applications concerning design, control and management of complex systems. In general, it is always beneficial to find the best or optimal solution in processes of system design, control and management. The real tendency towards the best (optimal) decision requires to present all activities in the form of a definition and then the solution of an appropriate optimization problem. Every optimization process needs the mathematical definition and solution of a well stated optimization problem. These problems belong to two classes: static optimization and dynamic optimization. Static optimization problems are solved applying methods of mathematical programming: conditional and unconditional optimization. Dynamic optimization problems are solved by methods of variation calculus: Euler Lagrange method; maximum principle; dynamical programming.

General

Imprint: Springer
Country of origin: Netherlands
Series: Nonconvex Optimization and Its Applications, 34
Release date: 2012
First published: 1999
Authors: Todor Stoilov
Dimensions: 240 x 160 x 15mm (L x W x T)
Format: Paperback
Pages: 270
Edition: Softcover reprint of the original 1st ed. 1999
ISBN-13: 978-9401064958
Categories: Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Calculus of variations
Books > Science & Mathematics > Mathematics > Optimization > General
Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General
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LSN: 9401064954
Barcode: 9789401064958

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