Decomposition and Invariance of Measures, and Statistical Transformation Models, Ole E Barndorff-Nielsen; Preben Blaesild; Poul S.

Автор: Jan Odelstad
Название: Invariance and Structural Dependence
ISBN: 354055260X ISBN-13(EAN): 9783540552604
Издательство: Springer
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Цена: 81050.00 T
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Описание: For instance, a physical law states that one physical aspect is structurally dependent on one or more other aspects. Structural dependence is closely related to the mathematical idea of functional dependence. However, struc- tural dependence is primarily thought of as a relation holding between aspects rather than between their measures.

Автор: Alan McKane; Michel Droz; Jean Vannimenus; Dietric
Название: Scale Invariance, Interfaces, and Non-Equilibrium Dynamics
ISBN: 1489914234 ISBN-13(EAN): 9781489914231
Издательство: Springer
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Цена: 139750.00 T
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Описание: Proceedings of a NATO ASI held in Cambridge, England, June 20-30, 1994

Автор: A.M. Wesselman
Название: The Population-Sample Decomposition Method
ISBN: 9401081476 ISBN-13(EAN): 9789401081474
Издательство: Springer
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Цена: 81050.00 T
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Автор: Julia L. Higle; S. Sen
Название: Stochastic Decomposition
ISBN: 0792338405 ISBN-13(EAN): 9780792338406
Издательство: Springer
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Цена: 135050.00 T
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Описание: Summarizes developments related to a class of methods called Stochastic Decomposition (SD) algorithms, which represent an important shift in the design of optimization algorithms. This title is suitable for researchers in mathematical optimization, including those working in telecommunications and electric power generation.

Автор: Haruo Yanai; Kei Takeuchi; Yoshio Takane
Название: Projection Matrices, Generalized Inverse Matrices, and Singular Value Decomposition
ISBN: 1461428599 ISBN-13(EAN): 9781461428596
Издательство: Springer
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Цена: 102480.00 T
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Описание: This valuable reference on projectors, generalized inverses, and SVD covers concepts numerous cutting-edge concepts and provides systematic and in-depth accounts of these ideas from the viewpoint of linear transformations of finite dimensional vector spaces.

Автор: Christian K?chler
Название: Stability, Approximation, and Decomposition in Two- and Multistage Stochastic Programming
ISBN: 3834809217 ISBN-13(EAN): 9783834809216
Издательство: Springer
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Цена: 97820.00 T
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Описание: Christian Kuchler studies various aspects of the stability of stochastic optimization problems as well as approximation and decomposition methods in stochastic programming. In particular, the author presents an extension of the Nested Benders decomposition algorithm related to the concept of recombining scenario trees.