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Theory And Computation Of Tensors

Author: Yimin Wei
Publisher: Academic Press
ISBN: 0128039809
Size: 27.95 MB
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Theory and Computation of Tensors: Multi-Dimensional Arrays investigates theories and computations of tensors to broaden perspectives on matrices. Data in the Big Data Era is not only growing larger but also becoming much more complicated. Tensors (multi-dimensional arrays) arise naturally from many engineering or scientific disciplines because they can represent multi-relational data or nonlinear relationships. Provides an introduction of recent results about tensors Investigates theories and computations of tensors to broaden perspectives on matrices Discusses how to extend numerical linear algebra to numerical multi-linear algebra Offers examples of how researchers and students can engage in research and the applications of tensors and multi-dimensional arrays

Computational Methods For Plasticity

Author: Eduardo A. de Souza Neto
Publisher: John Wiley & Sons
ISBN: 1119964547
Size: 11.41 MB
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The subject of computational plasticity encapsulates the numerical methods used for the finite element simulation of the behaviour of a wide range of engineering materials considered to be plastic – i.e. those that undergo a permanent change of shape in response to an applied force. Computational Methods for Plasticity: Theory and Applications describes the theory of the associated numerical methods for the simulation of a wide range of plastic engineering materials; from the simplest infinitesimal plasticity theory to more complex damage mechanics and finite strain crystal plasticity models. It is split into three parts - basic concepts, small strains and large strains. Beginning with elementary theory and progressing to advanced, complex theory and computer implementation, it is suitable for use at both introductory and advanced levels. The book: Offers a self-contained text that allows the reader to learn computational plasticity theory and its implementation from one volume. Includes many numerical examples that illustrate the application of the methodologies described. Provides introductory material on related disciplines and procedures such as tensor analysis, continuum mechanics and finite elements for non-linear solid mechanics. Is accompanied by purpose-developed finite element software that illustrates many of the techniques discussed in the text, downloadable from the book’s companion website. This comprehensive text will appeal to postgraduate and graduate students of civil, mechanical, aerospace and materials engineering as well as applied mathematics and courses with computational mechanics components. It will also be of interest to research engineers, scientists and software developers working in the field of computational solid mechanics.

Computational Intelligence Theory And Applications

Author: Bernd Reusch
Publisher: Springer Science & Business Media
ISBN: 3540347836
Size: 45.12 MB
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This book constitutes the refereed proceedings of the 9th Dortmund Fuzzy Days, Dortmund, Germany, 2006. This conference has established itself as an international forum for the discussion of new results in the field of Computational Intelligence. The papers presented here, all thoroughly reviewed, are devoted to foundational and practical issues in fuzzy systems, neural networks, evolutionary algorithms, and machine learning and thus cover the whole range of computational intelligence.

Computational Intelligence Methods For Bioinformatics And Biostatistics

Author: Riccardo Rizzo
Publisher: Springer
ISBN: 3642219462
Size: 63.51 MB
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This book constitutes the thoroughly refereed post-proceedings of the 7th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2010, held in Palermo, Italy, in September 2010. The 19 papers, presented together with 2 keynote speeches and 1 tutorial, were carefully reviewed and selected from 24 submissions. The papers are organized in topical sections on sequence analysis, promoter analysis and identification of transcription factor binding sites; methods for the unsupervised analysis, validation and visualization of structures discovered in bio-molecular data -- prediction of secondary and tertiary protein structures; gene expression data analysis; bio-medical text mining and imaging -- methods for diagnosis and prognosis; mathematical modelling and simulation of biological systems; and intelligent clinical decision support systems (i-CDSS).

Understanding Information And Computation

Author: Philip Tetlow
Publisher: Gower Publishing, Ltd.
ISBN: 1409440400
Size: 65.33 MB
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Most would acknowledge the World Wide Web to be a truly astounding thing. It has changed the ways in which we interact, learn and innovate. It is also the largest socio-technical system mankind has ever created and is advancing at a pace that leaves most spectators in awe.

Vektoranalysis

Author: Peter C. Kendall
Publisher: Springer-Verlag
ISBN: 332294056X
Size: 66.26 MB
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Bücher über Vektoranalysis beginnen üblicherweise mit der Definition eines Vektors als Äquivalenzklasse gerichteter Strecken - oder weniger genau, als Größe, die sowohl eine Richtung als auch eine Länge hat. Diese Einführung ist wegen ihres einfach erscheinenden Konzeptes einprägsam, aber sie führt zu logischen Schwierigkeiten, die nur durch sorgfältiges Vorgehen gelöst werden können. Folgerichtig haben Studenten oft Probleme, die Anfänge der Vektoranalysis vollständig zu verstehen und verlieren schnell an Vertrauen. Eine andere Unzulänglichkeit ist es, daß bei der weiteren Entwicklung häufig auf die geometrische Anschauung zurückgegriffen wird und viel Sorgfalt nötig ist, um analytische Zusammenhänge nicht zu verwischen oder zu übersehen. So wird z. B. selten klar, daß bei der Definition des Gradienten eines Skalarfeldes, der Divergenz oder der Rotation eines Vektorfeldes vorausgesetzt werden muß, daß die Felder stetig differenzierbar sind und daß die bloße Existenz der partiellen Ableitungen erster Ordnung unzureichend ist. Der Einstieg in die Vektoranalysis, der in diesem Band gewählt wurde, basiert auf der Definition eines Vektors mit Hilfe rechtwinkliger kartesischer Komponenten, die bei einer Änderung der Achsen vorgegebene Transformationsgesetze erfüllen. Dieser Einstieg wurde seit 10 Jahren erfolgreich in Anfängervorlesungen für Mathematiker und andere Naturwissenschaftler benutzt und bietet einige Vorteile. Regeln zur Addition und Subtraktion von Vektoren, zur Berechnung des Skalar- und Vektor produktes und zum Differenzieren sind schnell greifbar und die Möglichkeit, Vektoren so einfach zu handhaben, gibt den Studenten unmittelbares Zutrauen. Der spätere Einstieg in die Theorie der Vektorfelder erscheint natürlich, da Gradient, Divergenz und Rotation in ihrer Koordinatenform definiert sind.

Tensor Numerical Methods In Scientific Computing

Author: Boris N. Khoromskij
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 311036591X
Size: 54.14 MB
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The most difficult computational problems nowadays are those of higher dimensions. This research monograph offers an introduction to tensor numerical methods designed for the solution of the multidimensional problems in scientific computing. These methods are based on the rank-structured approximation of multivariate functions and operators by using the appropriate tensor formats. The old and new rank-structured tensor formats are investigated. We discuss in detail the novel quantized tensor approximation method (QTT) which provides function-operator calculus in higher dimensions in logarithmic complexity rendering super-fast convolution, FFT and wavelet transforms. This book suggests the constructive recipes and computational schemes for a number of real life problems described by the multidimensional partial differential equations. We present the theory and algorithms for the sinc-based separable approximation of the analytic radial basis functions including Green’s and Helmholtz kernels. The efficient tensor-based techniques for computational problems in electronic structure calculations and for the grid-based evaluation of long-range interaction potentials in multi-particle systems are considered. We also discuss the QTT numerical approach in many-particle dynamics, tensor techniques for stochastic/parametric PDEs as well as for the solution and homogenization of the elliptic equations with highly-oscillating coefficients. Contents Theory on separable approximation of multivariate functions Multilinear algebra and nonlinear tensor approximation Superfast computations via quantized tensor approximation Tensor approach to multidimensional integrodifferential equations

Fundamentals Of Robotic Mechanical Systems

Author: Jorge Angeles
Publisher: Springer Science & Business Media
ISBN: 3319018515
Size: 35.51 MB
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The 4th edition includes updated and additional examples and exercises on the core fundamental concepts of mechanics, robots, and kinematics of serial robots. New images of CAD models and physical robots help to motivate concepts being introduced. Each chapter of the book can be read independently of others as it addresses a seperate issue in robotics.

Matrix Algebra

Author: James E. Gentle
Publisher: Springer Science & Business Media
ISBN: 0387708731
Size: 58.81 MB
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Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work presents the relevant aspects of the theory of matrix algebra for applications in statistics. It moves on to consider the various types of matrices encountered in statistics, such as projection matrices and positive definite matrices, and describes the special properties of those matrices. Finally, it covers numerical linear algebra, beginning with a discussion of the basics of numerical computations, and following up with accurate and efficient algorithms for factoring matrices, solving linear systems of equations, and extracting eigenvalues and eigenvectors.