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Стратегический менеджмент. Антикризисное управление Стратегический менеджмент. Антикризисное управление
Коммуникации и корпоративное управление Коммуникации и корпоративное управление

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Advances in Linear Stochastic Programming. The Two-Level Decomposition Principle Via Dual Central Pricing

Автор:   Lila R.
мягкая обложка
168 страниц
2009 год
Издательство:   Книга по Требованию
Цена:
2781 руб
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Описание:Problems are formulated as large-scale, Multi-stage Stochastic programs and solved implementing an innovative two-level, interior-point decomposition algorithm based on ACCPM. A variety of methods exist for solving stochastic programming problems, among them are: direct methods such as simplex and interior point methods, and decomposition methods such as ACCPM (Analytic Center Cutting Plane Method), Dantzig-Wolfe and Benders decompositions, and L-shaped method. Multi-stage Stochastic Programming (MSP) has many practical applications for solving problems whose current resolution must be made while taking into account future uncertainty. Moreover, approximation methods such as Monte Carlo simulation, as well as combinatorial heuristics are employed to solve this class of problems. In addition to extensive discussion on methods for solving multi-stage stochastic program, this book addresses two important production planning challenges namely, stochastic capacity planning; and stochastic in-house production and outsourcing planning.


Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка

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Hackers and Painters: Big Ideas from the Computer Age

Then the interface will tend to be owned by one of them. The lower of two levels will either be a language in which the upper is written, in which case the lower level will own the interface, or it will be a slave, in which case the interface can be dictated by the upper level. 14.10. The Dream Language By way of summary, let's try describing the hacker's dream language. The dream language is clean and terse. It has an interactive top level that starts up fast. You can write programs to solve common problems with very little code. Nearly all the code in any program you write is code that's specific to your application. Everything else has been done for you. The syntax of the language is brief to a fault. You never have to type an unnecessary character, or even use the Shift key much. Using big abstractions you can write the first version of a program very quickly. Later, when you want to optimize, there's a really good profiler that tells you where to focus your attention. You can make inner loops blindingly fast, even writing inline byte code if you need to ...»

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Stochastic Modeling Of Space–Time Processes. An Air Pollution Problem
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Stochastic Replicator Dynamics. The Long-run Behavior of the Replicator Dynamics Systems under the Stratonovich-type Random Perturbations
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Stochastic Differential Equations: A Dynamical Systems Approach
There exists a significant ``culture gap" between the corresponding research communities. The objective of the dissertation project is to present a concise yet mostly self-contained theory of stochastic differential equations from the differential equations/dynamical systems point of view, primarily incorporating semigroup theory and functional analysis techniques to study the solutions. Prerequisites from probability/stochastic processes are developed as needed. For continuous-time stochastic processes whose random variables are (Lebesgue) absolutely continuous, the Fokker-Planck equation is employed to study the evolution of the densities, with applications to predator-prey models with noisy coefficients. The subject draws upon two main sources, probability/stochastic processes and differential equations/dynamical systems. The relatively new subject of stochastic differential equations has increasing importance in both theory and applications.
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