Localized Damage
The 1st International Conference on Computer-Aided Assessment and Control of Localized Damage was held in Portsmouth in June 1990. Participants discussed a wide range of topics, with particular emphasis placed on the application of advanced theories. The volumes resulting from this conference include over 90 papers covering fracture and fatigue, non-linear behaviour, dynamics, composite and non-metallic materials, advanced computational methods and industrial applications.
A concise introduction to numerical analysis for students in the sciences, mathematics, and engineering. In addition to coverage of all standard topics, it explores approximation methods, construction of algorithms, iteration methods, error analysis, stability, asymptotic error formulas, and the effects of machine arithmetic. Computer programming applications are given in Fortran 77. Features numerous problems and exercises at the end of each section.
Numerische Mathematik 3 (de Gruyter Studium)
by Peter Deuflhard and Martin Weiser
This text is intended for a first course in Numerical Analysis taken by students majoring in mathematics, engineering, computer science, and the sciences. This text emphasizes the mathematical ideas behind the methods and the idea of mixing methods for robustness. The optional use of MATLAB is incorporated throughout the text.
Maple V Programming Guide
This language and programming reference guide presents a description of Maple V Release 4, a version of the interactive computer algebra system in mathematics, the sciences, engineering and education. The manual describes the use of both numeric and symbolic expressions, the data types available, and the programming language statements in Maple. It shows how the system can be extended or customized through user-defined routines, and gives descriptions of the system's user interface and 2D and 3D...
Introduction to Optimization and Hadamard Semidifferential Calculus
by Michel Delfour
This second edition provides an enhanced exposition of the long-overlooked Hadamard semidifferential calculus, first introduced in the 1920s by mathematicians Jacques Hadamard and Maurice Rene Frechet. Hadamard semidifferential calculus is possibly the largest family of nondifferentiable functions that retains all the features of classical differential calculus, including the chain rule, making it a natural framework for initiating a large audience of undergraduates and non-mathematicians into...
Eine Algorithmisch Orientierte Einfuhrung (de Gruyter Lehrbuch)
by Peter Deuflhard and Andreas Hohmann
Elementary Theory and Application of Numerical Analysis (Dover Books on Mathematics) (Pure & Applied Mathematics S.)
by David G. Moursund and Charles S. Duris
Numerische Methoden Der Wirtschaftsmathematik, II (Mathematische Lehrbucher Und Monographien / Abteilung 1. Mathematische Lehrbucher, #18)
by Werner Duck
Elementare Methoden Der Numerischen Mathematik
by Helmut Kiesewetter and Gerhard Maess
Transfer Matrix Method for Multibody Systems
by Xiaoting Rui, Guoping Wang, and Jianshu Zhang
TRANSFER MATRIX METHOD FOR MULTIBODY SYSTEMS: THEORY AND APPLICATIONS Xiaoting Rui, Guoping Wang and Jianshu Zhang - Nanjing University of Science and Technology, China Featuring a new method of multibody system dynamics, this book introduces the transfer matrix method systematically for the first time. First developed by the lead author and his research team, this method has found numerous engineering and technological applications. Readers are first introduced to fundamental concepts like the...
Numerical Simulation Research Progress
Numerical simulation is the kind of simulation that uses numerical methods to quantitatively represent the evolution of a physical system. It pays much attention to the physical content of the simulation and emphasises the goal that, from the numerical results of the simulation, knowledge of background processes and physical understanding of the simulation region can be obtained. In practice, numerical simulation uses the values that can best represent the real environment. The evolution of the...
Finite Elements and Fast Iterative Solvers (Numerical Mathematics & Scientific Computation)
by Howard C Elman, David J. Silvester, and Andrew J Wathen
The subject of this book is the efficient solution of partial differential equations (PDEs) that arise when modelling incompressible fluid flow.The material is organized into four groups of two chapters each, covering the Poisson equation (chapters 1 and 2); the convection-diffusion equation (chapters 3 and 4); the Stokes equations (chapters 5 and 6); and the Navier-Stokes equations (chapters 7 and 8). These equations represent important models within the domain of computational fluid dynamics,...
Um Curso Introdutorio Ao Metodo DOS Elementos de Contorno (Volume, #1)
by Roberto Pettres
Mathematical Programming with Data Perturbations (Lecture Notes in Pure and Applied Mathematics, #195)
Presents research contributions and tutorial expositions on current methodologies for sensitivity, stability and approximation analyses of mathematical programming and related problem structures involving parameters. The text features up-to-date findings on important topics, covering such areas as the effect of perturbations on the performance of algorithms, approximation techniques for optimal control problems, and global error bounds for convex inequalities.
"In truth, it is not knowledge, but learning, not possessing, but production, not being there, but travelling there, which provides the greatest pleasure. When I have completely understood something, then I turn away and move on into the dark; indeed, so curious is the insatiable man, that when he has completed one house, rather than living in it peacefully, he starts to build another. " Letter from C. F. Gauss to W. Bolyai on Sept. 2, 1808 This textbook adds a book devoted to applied mathematic...
Spatial Uncertainties in Continuous Location Problems (Berichte aus der Mathematik)
by Markus Kaiser
Scientific Programming
by Luciano Maria Barone, Enzo Marinari, and Giovanni Organtini
Regularization Theory for Ill-posed Problems (Inverse and Ill-Posed Problems, #58)
by Shuai Lu and Sergei V. Pereverzev
Thismonograph is a valuable contribution to thehighly topical and extremly productive field ofregularisationmethods for inverse and ill-posed problems. The author is an internationally outstanding and acceptedmathematicianin this field. In his book he offers a well-balanced mixtureof basic and innovative aspects.He demonstrates new,differentiatedviewpoints, and important examples for applications. The bookdemontrates thecurrent developments inthe field of regularization theory,such as multiparam...
Computational Methods for Applied Inverse Problems (Inverse and Ill-Posed Problems, #56)
by Y Bai, G Bao, J J Cao, and H Cheng
This monograph reports recent advances of inversion theory and recent developments with practical applications in frontiers of sciences, especially inverse design and novel computational methods for inverse problems. Readers who do research in applied mathematics, engineering, geophysics, biomedicine, image processing, remote sensing, and environmental sciencewill benefit from the contents since the book incorporates a background of using statistical and non-statistical methods, e.g., regulariza...
ABS Projection Algorithms (Ellis Horwood Series in Mathematics & Its Applications)
by Joseph Abaffy and Emilio Spedicato