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Deterministic Nonlinear Systems, Anishchenko Vadim S


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Автор: Anishchenko Vadim S
Название:  Deterministic Nonlinear Systems
ISBN: 9783319068701
Издательство: Springer
Классификация:





ISBN-10: 3319068709
Обложка/Формат: Hardback
Страницы: 294
Вес: 0.60 кг.
Дата издания: 17.06.2014
Серия: Springer series in synergetics
Язык: English
Издание: 2015 ed.
Иллюстрации: 2 illustrations, color; 170 illustrations, black and white; xiv, 294 p. 172 illus., 2 illus. in color.
Размер: 164 x 241 x 21
Читательская аудитория: Professional & vocational
Подзаголовок: A short course
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Deterministic Nonlinear Systems


Invariance Entropy for Deterministic Control Systems

Автор: Christoph Kawan
Название: Invariance Entropy for Deterministic Control Systems
ISBN: 3319012878 ISBN-13(EAN): 9783319012872
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This monograph provides an introduction to the concept of invariance entropy, the central motivation of which lies in the need to deal with communication constraints in networked control systems.

Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences

Автор: David Greiner; Blas Galv?n; Jacques P?riaux; Nicol
Название: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences
ISBN: 3319364243 ISBN-13(EAN): 9783319364247
Издательство: Springer
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Цена: 18284.00 р.
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Описание:

Preface.- Part 1: Theoretical and Numerical Methods and Tools for Optimization.- 1.1 Theoretical Methods and Tools.- 1.1.1 Multi-Objective Evolutionary Algorithms in Real-World Applications: Some Recent Results and Current Challenges, by Carlos A. Coello Coello.- 1.1.2 Hybrid Optimization Algorithms and Hybrid Response Surfaces, by George S. Dulikravich and Marcelo J. Colaco.- 1.1.3 A genetic algorithm for a sensor device location problem, by Egidio D'Amato, Elia Daniele and Lina Mallozzi.- 1.1.4 The Role of Artificial Neural Networks in Evolutionary Optimization: A Review, by Mustapha Maarouf, Adriel Sosa, Blas Galvбn, David Greiner, Gabriel Winter, Mбximo Mendez and Ricardo Aguasca.- 1.1.5 Reliability-based Design Optimization with the Generalized Inverse Distribution Function, by Domenico Quagliarella, Giovanni Petrone and Gianluca Iaccarino.- 1.2 Numerical Methods and Tools.- 1.2.1 On the choice of surrogates for multilevel aircraft performance models, by Manon Bondouy, Sophie Jan, Serge Laporte and Christian Bes.- 1.2.2 Multi-objective design optimization using high-order statistics for CFD applications, by Pietro M. Congedo, Gianluca Geraci, Remi Abgrall and Gianluca Iaccarino.- 1.2.3 Extension of the One-Shot Method for Optimal Control with Unsteady PDEs, by Stefanie Gunther, Nicolas R. Gauger and Qiqi Wang.- 1.2.4 Adaptive Aerodynamic Design Optimization for Navier-Stokes using Shape Derivatives with Discontinuous Galerkin Methods, by Lena Kaland, Matthias Sonntag and Nicolas R. Gauger.- 1.2.5 Optimal Flow Control and Topology Optimization Using the Continuous Adjoint Method in Unsteady Flows, by Ioannis S. Kavvadias, George K. Karpouzas, Evangelos M. Paoutsis-Kiachagias, Dimitris I. Papadimitrou and Kyriakos C. Giannakoglou.- Part 2: Engineering Design and Societal Applications.- 2.1 Turbomachinery.- 2.1.1 Design optimization of the Primary Pump of a Nuclear Reactor, by Tom Verstraete and Lasse Mueller.- 2.1.2 Direct 3D Aerodynamic Optimization of Turbine Blades with GPU-accelerated CFD, by Philipp Amtsfeld, Dieter Bestle and Marcus Meyer.- 2.1.3 Evaluation of Surrogate Modelling Methods for Turbo-Machinery Component Design Optimization, by Gianluca Badjan, Carlo Poloni, Andrew Pike and Nadir Ince.- 2.1.4 Robust Aerodynamic Design Optimization of Horizontal Axis Wind Turbine Rotors, by Marco Caboni, Edmondo Minisci and Michele Sergio Campobaso.- 2.1.5 Horizontal axis hydroturbine shroud airfoil optimization, by Elia Daniele, Elios Ferrauto and Domenico P. Coiro.- 2.1.6 Parametric Blending and FE-Optimization of a Compressor Blisk Test Case, by Kai Karger and Dieter Bestle.- 2.1.7 Modular Automated Aerodynamic Compressor Design Process, by Fiete Poehlmann, Dieter Bestle, Peter Flassig and Michиl Hinz.- 2.1.8 Design-Optimization of a Compressor Blading on a GPU Cluster, by Konstantinos T. Tsiakas, Xenofon S. Trompoukis, Varvara G. Asouti and Kyriakos C. Giannakoglou.- 2.2 Structures, Materials and Civil Engineering.- 2.2.1 Immune and Swarm Optimization of Structures, by Tadeusz Burczyński, Arkadiusz Poteralski and Miroslaw Szczepanik.- 2.2.2 Investigation of three genotypes for mixed variable evolutionary optimization, by Rajan Filomeno Coelho, Manyu Xiao, Aurore Guglielmetti, Manuel Herrera and Weihong Zhang.- 2.2.3 A Study of Nash-Evolutionary Algorithms for Reconstruction Inverse Problems in Structural Engineering, by David Greiner, Jacques Pйriaux, Josй Marнa Emperador, Blas Galvбn and Gabriel Winter.- 2.2.4 A comparative study on design optimization of polygonal and Bйzier curve-shaped thin noise barriers using dual BEMformulation, by Rayco Toledo, Juan J. Aznбrez, Orlando Maeso and David Greiner.- 2.2.5 A Discrete Adjoint Approach For Trailing-Edge Noise Minimization using Porous Material, by Beckett Y. Zhou, Nicolas R. Gauger, Seong R. Koh and Wolfgang Schrцder.- 2.3 Aeronautics and Astronautics.- 2.3.1 Conceptual Design of Single-Stage Launch Vehicle with Hybrid Rocket Engine Using Desi

Deterministic and Stochastic Error Bounds in Numerical Analysis

Автор: Erich Novak
Название: Deterministic and Stochastic Error Bounds in Numerical Analysis
ISBN: 3540503684 ISBN-13(EAN): 9783540503682
Издательство: Springer
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Цена: 3492.00 р.
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Описание: Investigates different deterministic and stochastic error bounds of numerical analysis. This book considers worst case error bounds and their relation to the theory of n-widths. It studies special problems such approximation, optimization, and integration for different function classes. It compares adaptive and nonadaptive methods.

Deterministic Lotsizing Models for Production Planning

Автор: Marc Salomon
Название: Deterministic Lotsizing Models for Production Planning
ISBN: 3540537015 ISBN-13(EAN): 9783540537014
Издательство: Springer
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Цена: 12157.00 р.
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Описание: In this monograph, lotsizing problems and their relevance in practical settings are discussed. An extensive literature review is given and various mathematical model formulations and solution procedures are evaluated. A novel class of models is introduced, allowing simultaneous analysis of lotsizing and production sequencing aspects.

Deterministic Nonlinear Systems

Автор: Vadim S. Anishchenko; Tatyana E. Vadivasova; Galin
Название: Deterministic Nonlinear Systems
ISBN: 331937852X ISBN-13(EAN): 9783319378527
Издательство: Springer
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Цена: 9794.00 р.
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Deterministic Chaos in Infinite Quantum Systems

Автор: Fabio Benatti
Название: Deterministic Chaos in Infinite Quantum Systems
ISBN: 3540570179 ISBN-13(EAN): 9783540570172
Издательство: Springer
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Цена: 15672.00 р.
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Описание: The purpose of this volume is to give a detailed account of a series of re- sults concerning some ergodic questions of quantum mechanics which have the past six years following the formulation of a generalized been addressed in Kolmogorov-Sinai entropy by A.Connes, H.Narnhofer and W.Thirring.

Deterministic and Stochastic Time-Delay Systems

Автор: El-Kebir Boukas; Zi-Kuan Liu
Название: Deterministic and Stochastic Time-Delay Systems
ISBN: 1461266025 ISBN-13(EAN): 9781461266020
Издательство: Springer
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Цена: 13974.00 р.
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Описание: Most practical processes such as chemical reactor, industrial furnace, heat exchanger, etc., are nonlinear stochastic systems, which makes their con- trol in general a hard problem.

Deterministic Chaos In One Dimensional Continuous Systems

Автор: Awrejcewicz Jan Et Al
Название: Deterministic Chaos In One Dimensional Continuous Systems
ISBN: 9814719692 ISBN-13(EAN): 9789814719698
Издательство: World Scientific Publishing
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Цена: 28512.00 р.
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Описание: This book focuses on the computational analysis of nonlinear vibrations of structural members (beams, plates, panels, shells), where the studied dynamical problems can be reduced to the consideration of one spatial variable and time.

Deterministic Kinetics in Chemistry and Systems Biology

Автор: G?bor Lente
Название: Deterministic Kinetics in Chemistry and Systems Biology
ISBN: 3319154818 ISBN-13(EAN): 9783319154817
Издательство: Springer
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Цена: 7685.00 р.
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Описание: This book gives a concise overview of the mathematical foundations of kinetics used in chemistry and systems biology. The analytical and numerical methods used to solve complex rate equations with the widely used deterministic approach will be described, with primary focus on practical aspects important in designing experimental studies and the evaluation of data. The introduction of personal computers transformed scientific attitudes in the last two decades considerably as computational power ceased to be a limiting factor. Despite this improvement, certain time-honored approximations in solving rate equations such as the pre-equilibrium or the steady-state approach are still valid and necessary as they concern the information content of measured kinetic traces. The book shows the role of these approximations in modern kinetics and will also describe some common misconceptions in this field.

Deterministic Global Optimization

Автор: Christodoulos A. Floudas
Название: Deterministic Global Optimization
ISBN: 0792360141 ISBN-13(EAN): 9780792360148
Издательство: Springer
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Цена: 58557.00 р.
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Описание: Provides a unified treatment of deterministic global optimization. This book introduces theoretical and algorithmic advances that address the computation and characterization of global optima, determine valid lower and upper bounds on the global minima and maxima, and enclose all solutions of nonlinear constrained systems of equations.

P-adic Deterministic and Random Dynamics

Автор: Andrei Y. Khrennikov; Marcus Nilsson
Название: P-adic Deterministic and Random Dynamics
ISBN: 9048166985 ISBN-13(EAN): 9789048166985
Издательство: Springer
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Цена: 13059.00 р.
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Описание: This book provides an overview of the theory of p-adic (and more general non-Archimedean) dynamical systems. It presents a model of probabilistic thinking on p-adic mental space based on ultrametric diffusion. Coverage also details p-adic neural networks and their applications to cognitive sciences: learning algorithms, memory recalling.


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