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Computation And Asymptotics

Author: Rudrapatna V. Ramnath
Publisher: Springer Science & Business Media
ISBN: 3642257488
Size: 25.91 MB
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This book addresses the task of computation from the standpoint of asymptotic analysis and multiple scales that may be inherent in the system dynamics being studied. This is in contrast to the usual methods of numerical analysis and computation. The technical literature is replete with numerical methods such as Runge-Kutta approach and its variations, finite element methods, and so on. However, not much attention has been given to asymptotic methods for computation, although such approaches have been widely applied with great success in the analysis of dynamic systems. The presence of different scales in a dynamic phenomenon enable us to make judicious use of them in developing computational approaches which are highly efficient. Many such applications have been developed in such areas as astrodynamics, fluid mechanics and so on. This book presents a novel approach to make use of the different time constants inherent in the system to develop rapid computational methods. First, the fundamental notions of asymptotic analysis are presented with classical examples. Next, the novel systematic and rigorous approaches of system decomposition and reduced order models are presented. Next, the technique of multiple scales is discussed. Finally application to rapid computation of several aerospace systems is discussed, demonstrating the high efficiency of such methods.

Proper Generalized Decompositions

Author: Elías Cueto
Publisher: Springer
ISBN: 3319299948
Size: 49.16 MB
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This book is intended to help researchers overcome the entrance barrier to Proper Generalized Decomposition (PGD), by providing a valuable tool to begin the programming task. Detailed Matlab Codes are included for every chapter in the book, in which the theory previously described is translated into practice. Examples include parametric problems, non-linear model order reduction and real-time simulation, among others. Proper Generalized Decomposition (PGD) is a method for numerical simulation in many fields of applied science and engineering. As a generalization of Proper Orthogonal Decomposition or Principal Component Analysis to an arbitrary number of dimensions, PGD is able to provide the analyst with very accurate solutions for problems defined in high dimensional spaces, parametric problems and even real-time simulation.

Non Equilibrium Phenomena Near Vapor Liquid Interfaces

Author: Alexei Kryukov
Publisher: Springer Science & Business Media
ISBN: 3319000837
Size: 68.83 MB
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This book presents information on the development of a non-equilibrium approach to the study of heat and mass transfer problems using vapor-liquid interfaces, and demonstrates its application to a broad range of problems. In the process, the following peculiarities become apparent: 1. At vapor condensation on the interface from gas-vapor mixture, non-condensable components can lock up the interface surface and condensation stops completely. 2. At the evolution of vapor film on the heater in superfluid helium (He-II), the boiling mass flux density from the vapor-liquid interface is effectively zero at the macroscopic scale. 3. In problems concerning the motion of He-II bridges inside capillaries filled by vapor, in the presence of axial heat flux the He-II bridge cannot move from the heater as would a traditional liquid, but in the opposite direction instead. Thus the heater attracts the superfluid helium bridge. 4. The shape of liquid-vapor interface at film boiling on the axis-symmetric heaters immersed in liquid greatly depends on heat flux in the interface. Thus a new type of hydrostatic problems appears when in contrast to traditional statements the shape of the liquid-vapor interface has a complex profile with a point of inflection and a smooth exit on a free liquid surface.

Canonical Instabilities Of Autonomous Vehicle Systems

Author: Rodrick Wallace
Publisher: Springer
ISBN: 3319699350
Size: 72.80 MB
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The asymptotic limit theorems of control and information theories make it possible to explore the dynamics of collapse likely to afflict large-scale systems of autonomous ground vehicles that communicate with each other and with an embedding intelligent roadway. Any vehicle/road system is inherently unstable in the control theory sense as a consequence of the basic irregularities of the traffic stream, the road network, and their interactions, placing it in the realm of the Data Rate Theorem that mandates a minimum necessary rate of control information for stability. It appears that large-scale V2V/V2I systems will experience correspondingly large-scale failures analogous to the vast, propagating fronts of power network blackouts, and possibly less benign but more subtle patterns of individual vehicle, platoon, and mesoscale dysfunction. The central matter is the synergism between poorly-understood traffic flow dynamics and similarly cryptic multisource information network dynamics, leading to highly punctuated phase transition analogs.

Interface Fracture And Delaminations In Composite Materials

Author: Leslie Banks-Sills
Publisher: Springer
ISBN: 3319603272
Size: 67.47 MB
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Part I of this SpringerBrief presents the problem of a crack between two dissimilar isotropic materials and describes the mathematical background. A fracture criterion is discussed and Methods for calculating fracture parameters such as stress intensity factors using the finite element method and three post-processors are considered. Actual test data and both deterministic and statistical failure curves are presented.In Part II of the book, similar descriptions are given for delaminations in composite laminates. The mathematical treatment of this type of damage including the first term of the asymptotic expansion of the stress and displacement fields is considered. Numerical post-processors for determining stress intensity factors for these cases are reviewed. Two examples of specific laminates are presented: one with a failure curve and the other with a failure surface. Finally, beam specimens used for testing such failures are discussed.

Piecewise Deterministic Processes In Biological Models

Author: Ryszard Rudnicki
Publisher: Springer
ISBN: 3319612956
Size: 25.15 MB
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This book presents a concise introduction to piecewise deterministic Markov processes (PDMPs), with particular emphasis on their applications to biological models. Further, it presents examples of biological phenomena, such as gene activity and population growth, where different types of PDMPs appear: continuous time Markov chains, deterministic processes with jumps, processes with switching dynamics, and point processes. Subsequent chapters present the necessary tools from the theory of stochastic processes and semigroups of linear operators, as well as theoretical results concerning the long-time behaviour of stochastic semigroups induced by PDMPs and their applications to biological models. As such, the book offers a valuable resource for mathematicians and biologists alike. The first group will find new biological models that lead to interesting and often new mathematical questions, while the second can observe how to include seemingly disparate biological proc esses into a unified mathematical theory, and to arrive at revealing biological conclusions. The target audience primarily comprises of researchers in these two fields, but the book will also benefit graduate students.

Fahrerlose Transportsysteme

Author: Günter Ullrich
Publisher: Springer-Verlag
ISBN: 3834825921
Size: 37.57 MB
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Fahrerlose Transportsysteme (FTS) sind innerbetriebliche, flurgebundene Fördersysteme mit automatisch gesteuerten Fahrzeugen. Seit Mitte der 1990er Jahre drängt das FTS erfolgreich in fast alle Branchen der Industrie und in viele öffentliche Bereiche, wie z. B. Krankenhäuser. Dieses Fachbuch gibt einen umfassenden Überblick über das moderne Organisationsmittel der Intralogistik. Es werden die Einsatzgebiete und die technologischen Standards von allen FTS-relevanten Komponenten und Funktionen dargestellt. Die Fibel begleitet das FTS auf seinem Weg zu neuen technischen Lösungen und veränderten Märkten. Ein weiterer Schwerpunkt ist die an den VDI-Richtlinien angelehnte praxisnahe Planung solcher Intralogistik-Systeme. Die vorliegende zweite Auflage wurde im Ganzen überarbeitet, neu strukturiert und an den aktuellen Stand der Entwicklungen angepasst.

Signale Prozesse Systeme

Author: Ulrich Karrenberg
Publisher: Springer-Verlag
ISBN: 366252659X
Size: 72.67 MB
Format: PDF
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Buch und DVD bieten ein interaktives Lernsystem für die Visualisierung von Signalen und Prozessen sowie für die grafische Programmierung signaltechnischer Systeme. Etwa 250 vorprogrammierte Systeme und Folienentwürfe sind in das elektronische Dokument eingebettet. Mit der Software DASYLab können Applikationen entwickelt, modifiziert und optimiert werden. Die 6. Auflage bietet ein zusätzliches Kapitel zur mathematischen Modellierung, außerdem wurde sie an die aktuelle Version 11 von DASYLab angepasst und ist nun auch mit Windows 7 kompatibel.

Finanzderivate Mit Matlab

Author: Michael Günther
Publisher: Springer-Verlag
ISBN: 3322968421
Size: 46.85 MB
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In der Finanzwelt ist der Einsatz von Finanzderivaten zu einem unentbehrlichen Hilfsmittel zur Absicherung von Risiken geworden. Dieses Buch richtet sich an Studierende der (Finanz-) Mathematik und der Wirtschaftswissenschaften im Hauptstudium, die mehr über Finanzderivate und ihre mathematische Behandlung erfahren möchten. Es werden moderne numerische Methoden vorgestellt, mit denen die entsprechenden Bewertungsgleichungen in der Programmierumgebung MATLAB gelöst werden können.

Statistical Signal Processing

Author: Debasis Kundu
Publisher: Springer Science & Business Media
ISBN: 8132206282
Size: 79.37 MB
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Signal processing may broadly be considered to involve the recovery of information from physical observations. The received signal is usually disturbed by thermal, electrical, atmospheric or intentional interferences. Due to the random nature of the signal, statistical techniques play an important role in analyzing the signal. Statistics is also used in the formulation of the appropriate models to describe the behavior of the system, the development of appropriate techniques for estimation of model parameters and the assessment of the model performances. Statistical signal processing basically refers to the analysis of random signals using appropriate statistical techniques. The main aim of this book is to introduce different signal processing models which have been used in analyzing periodic data, and different statistical and computational issues involved in solving them. We discuss in detail the sinusoidal frequency model which has been used extensively in analyzing periodic data occuring in various fields. We have tried to introduce different associated models and higher dimensional statistical signal processing models which have been further discussed in the literature. Different real data sets have been analyzed to illustrate how different models can be used in practice. Several open problems have been indicated for future research.