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Titlebook: Stochastic and Global Optimization; Gintautas Dzemyda,Vydūnas Šaltenis,Antanas Žilinsk Book 2002 Springer Science+Business Media Dordrecht

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书目名称Stochastic and Global Optimization
编辑Gintautas Dzemyda,Vydūnas Šaltenis,Antanas Žilinsk
视频video
丛书名称Nonconvex Optimization and Its Applications
图书封面Titlebook: Stochastic and Global Optimization;  Gintautas Dzemyda,Vydūnas Šaltenis,Antanas Žilinsk Book 2002 Springer Science+Business Media Dordrecht
描述In the paper we propose a model of tax incentives optimization for inve- ment projects with a help of the mechanism of accelerated depreciation. Unlike the tax holidays which influence on effective income tax rate, accelerated - preciation affects on taxable income. In modern economic practice the state actively use for an attraction of - vestment into the creation of new enterprises such mechanisms as accelerated depreciation and tax holidays. The problem under our consideration is the following. Assume that the state (region) is interested in realization of a certain investment project, for ex- ple, the creation of a new enterprise. In order to attract a potential investor the state decides to use a mechanism of accelerated tax depreciation. The foll- ing question arise. What is a reasonable principle for choosing depreciation rate? From the state’s point of view the future investor’s behavior will be rat- nal. It means that while looking at economic environment the investor choose such a moment for investment which maximizes his expected net present value (NPV) from the given project. For this case both criteria and “investment rule” depend on proposed (by the state) depreciatio
出版日期Book 2002
关键词STATISTICA; computer science; discrete optimization; efficiency; global optimization; mathematics; optimiz
版次1
doihttps://doi.org/10.1007/b130735
isbn_softcover978-1-4419-5209-7
isbn_ebook978-0-306-47648-8Series ISSN 1571-568X
issn_series 1571-568X
copyrightSpringer Science+Business Media Dordrecht 2002
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Numerical Techniques in Applied Multistage Stochastic Programming,chniques. In addition, an alternative approach is sketched where the replacement of optimization runs by optimality checks leads to an efficient handling of consecutive discretization steps given some structural requirements arc fulfilled.
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Topographical Differential Evolution Using Pre-calculated Differentials,stinguishing features are that it implements pre-calculated differentials and that it suitably utilizes topographical information on the objective function in deciding local search. These features are implemented in a periodic fashion. The algorithm has been tested on easy, moderately difficult test
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Global Optimisation of Chemical Process Flowsheets,l based global optimisation in modular based systems which dominate the market is difficult because of the way modules are used as black boxes. In this paper a way of implementing global optimisation by recasting the models in a generic way is discussed. Two interval based algorithms are presented w
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Test Problems for Lipschitz Univariate Global Optimization with Multiextremal Constraints,e considered. Two sets of test problems are introduced, in the first one both the objective function and constraints are differenliable functions and in the second one they are non-differentiable. Each series of tests contains 3 problems with one constraint, 4 problems with 2 constraints, 3 problems
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Numerical Techniques in Applied Multistage Stochastic Programming, linear programming. It names specific numerical solution techniques which are suitable for coping with the curse of dimensionality, with increasing scenario trees and associated large-scale LPs. The focus lies on classic decomposition methods which are natural candidates to apply parallelization te
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