Search results for "Introduction to Human-Computer Interaction"
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Computer + Programmieren = Elektronische Datenverarbeitung
Es gibt wenige Vorgänge, welche unsere Lebensrealitäten so stark verändern wie der Computer. Deshalb ist eine didaktisch geschickte Einführung in das Computerwesen von größter Wichtigkeit. K. W. Blutke hat hier die Probleme der Hardware und Software in geschickter und praxisnaher Weise darge stellt, so daß sie jeder Interessierte - auch ohne spezielle Vorkenntniss- verstehen kann. Der DarsteUungsstil zeigt einerseits gründliche Sachkenntnis und anderer seits Einfühlungsvermögen in das Denken interessierter Außenstehender. Daß technische Erklärungen und Anwendungsbeispiele geschickt mitein ander verwoben sind, ist ein besonderer Reiz der Darstellung. Vor allem die zahlreichen und wohlplazierten Abbildungen sind geeignet, die Scheu des Anfängers zu überwinden. Es ist erfreulich, daß diese vorzügliche Darstellung nunmehr - überarbeitet und auf den neuesten Stand der Technik gebracht - in dritter Auflage erscheint. Ich wünsche der neuen Auflage die gebührende Beachtung und Verbreitung. K. Steinbuch 5 Vorwort und Hinweis zur 3. Auflage Begriffe wie elektronische Datenverarbeitung (EDV), Computer und Programmieren gehören heute bereits zum allgemeinen Sprachschatz. Für viele von uns sind aber solche Begriffe bisher leider nur Schlagworte geblieben; doch diesem Zustand soll dieses Buch abhelfen. Dabei werden keine speziellen Vorkenntnisse vorausgesetzt. Der gesamte Stoff wird anhand verständ licher Beispiele vermittelt: Sie erfahren, wie ein Computer programmtechnisch arbeitet und welche Möglichkeiten er im Rahmen der elektronischen Datenverarbeitung bietet; Sie werden Sinn und Zweck der Programmierung erfassen und in die Lage versetzt, kleinere Programme selbst zu konzipieren.
R 1,689.45
Dynamical Systems, Control, Coding, Computer Vision
This book is a collection of essays devoted in part to new research direc tions in systems, networks, and control theory, and in part to the growing interaction of these disciplines with new sectors of engineering and applied sciences like coding, computer vision, and hybrid systems. These are new areas of rapid growth and of increasing importance in modern technology. The essays, written by world-leading experts in the field, reproduce and expand the plenary and minicoursejminisymposia invited lectures which were delivered at the Mathematical Theory of Networks and Systems Sym posium (MTNS-98), held in Padova, Italy, on July 6-10, 1998. Systems, control, and networks theory has permeated the development of much of present day technology. The impact has been visible in the past fifty years through the dramatic expansion and achievements of the aerospace and avionics industry, through process control and factory au tomation, robotics, communication signals analysis and synthesis, and, more recently, even finance, to name just the most visible applications. The theory has developed from the early phase of its history when the ba sic tools were elementary complex analysis, Laplace transform, and linear differential equations, to present day, where the mathematics ranges widely from functional analysis, PDE's, abstract algebra, stochastic processes and differential geometry. Irrespective of the particular tools, however, the ba sic unifying paradigms of feedback, stability, optimal control, and recursive filtering, have remained the bulk of the field and continue to be the basic motivation for the theory, coming from the real world.
R 1,590.31
Grundlagen der Computer-Arithmetik
Obwohl man annehmen kann, daB das gerundete Rechnen so alt ist wie das Rechnen mit Zahlen iiberhaupt, hat es eine ausgedehnte und systematische Anwendung erst durch die neuzeitlichen Digitalrechenanlagen gefunden. Die zwangslliufige Begrenzung sowohl des Gesamtspeichers wie der Bitanzahl der einzelnen Speicherzellen und Register bedingt bei jeder Zahldarstellung eine Einschrlinkung eines theoretischen, idealisierten, unendlichen Zahlenbereiches auf eine endliche Teilmenge, in der die realen arithmetischen Operationen konstruktiv erfolgen. Infolgedessen stimmen die Regeln fiir dieses "gerundete" Rechnen im realen Bereich mit denen des Rechnens im idealen Bereich nicht iiberein und verschiedene der klassischen Eigenschaften arithmetischer Ver- kniipfungen, beispielsweise im Korper der rationalen Zahlen die Assoziativitlit und Distributivitlit, gehen bei Rundung verloren. Der gerundete Bereich sowie die konstruktiv auszufiihrenden arithmetischen Operationen sind natiirlich nicht Selbstzweck, sondem sie sollen in zu definierendem Sinne eine Approximation zunI idealen Bereich und zu den idealen arithmetischen Operationen darstellen. Seit einigen lahren bestehen nun Versuche und Teilergebnisse zu einer axio- matischen Begriindung und einer Theorie des gerundeten Rechnens. Diese bezie- hen sich einerseits auf die Konstruktionsvorschrift und deren Realisierung, nach der den idealen Zahlen bzw. einer konstruktiv darstellbaren Untermenge hier- von gerundete Zahlen zuzuordnen sind, urn gewisse Kriterien zu erfiiIlen, z. B. Minimisierung der Abweichung des Nliherungsergebnisses yom exakten Ergeb- nis bei Auswertung eines arithmetischen Ausdruckes mit verschiedenen Daten im statistischen Mittel, Ausgabe eines moglichst "kleinen" Zahlenbereiches, in dem das Ergebnis einer idealen Rechnung mit Sicherheit (Intervall-Arithmetik) oder mit vorgegebener Wahrscheinlichkeit liegt.
R 1,727.85
R 969.00
R 1,178.00
Computer as Crucible
Keith Devlin and Jonathan Borwein, two well-known mathematicians with expertise in different mathematical specialties but with a common interest in experimentation in mathematics, have joined forces to create this introduction to experimental mathematics. They cover a variety of topics and examples to give the reader a good sense of the current state of play in the rapidly growing new field of experimental mathematics. The writing is clear and the explanations are enhanced by relevant historical facts and stories of mathematicians and their encounters with the field over time.
R 2,052.00
Student Solutions Manual to accompany Simulation and the Monte Carlo Method
This accessible new edition explores the major topics in Monte Carlo simulation Simulation and the Monte Carlo Method, Second Edition reflects the latest developments in the field and presents a fully updated and comprehensive account of the major topics that have emerged in Monte Carlo simulation since the publication of the classic First Edition over twenty-five years ago. While maintaining its accessible and intuitive approach, this revised edition features a wealth of up-to-date information that facilitates a deeper understanding of problem solving across a wide array of subject areas, such as engineering, statistics, computer science, mathematics, and the physical and life sciences. The book begins with a modernized introduction that addresses the basic concepts of probability, Markov processes, and convex optimization. Subsequent chapters discuss the dramatic changes that have occurred in the field of the Monte Carlo method, with coverage of many modern topics including: Markov Chain Monte Carlo Variance reduction techniques such as the transform likelihood ratio method and the screening method The score function method for sensitivity analysis The stochastic approximation method and the stochastic counter-part method for Monte Carlo optimization The cross-entropy method to rare events estimation and combinatorial optimization Application of Monte Carlo techniques for counting problems, with an emphasis on the parametric minimum cross-entropy method An extensive range of exercises is provided at the end of each chapter, with more difficult sections and exercises marked accordingly for advanced readers. A generous sampling of applied examples is positioned throughout the book, emphasizing various areas of application, and a detailed appendix presents an introduction to exponential families, a discussion of the computational complexity of stochastic programming problems, and sample MATLAB® programs. Requiring only a basic, introductory knowledge of probability and statistics, Simulation and the Monte Carlo Method, Second Edition is an excellent text for upper-undergraduate and beginning graduate courses in simulation and Monte Carlo techniques. The book also serves as a valuable reference for professionals who would like to achieve a more formal understanding of the Monte Carlo method.
R 1,334.00
R 397.00
Introduction to Statistical Time Series
The subject of time series is of considerable interest, especiallyamong researchers in econometrics, engineering, and the naturalsciences. As part of the prestigious Wiley Series in Probabilityand Statistics, this book provides a lucid introduction to thefield and, in this new Second Edition, covers the importantadvances of recent years, including nonstationary models, nonlinearestimation, multivariate models, state space representations, andempirical model identification. New sections have also been addedon the Wold decomposition, partial autocorrelation, long memoryprocesses, and the Kalman filter. Major topics include: * Moving average and autoregressive processes * Introduction to Fourier analysis * Spectral theory and filtering * Large sample theory * Estimation of the mean and autocorrelations * Estimation of the spectrum * Parameter estimation * Regression, trend, and seasonality * Unit root and explosive time series To accommodate a wide variety of readers, review material,especially on elementary results in Fourier analysis, large samplestatistics, and difference equations, has been included.
R 7,130.00
Introduction to Statistical Modelling
Statisticians rely heavily on making models of 'causal situations' in order to fully explain and predict events. Modelling therefore plays a vital part in all applications of statistics and is a component of most undergraduate programmes. 'An Introduction to Statistical Modelling' provides a single reference with an applied slant that caters for all three years of a degree course. The book concentrates on core issues and only the most essential mathematical justifications are given in detail. Attention is firmly focused on the statistical aspects of the techniques, in this lively, practical approach.
R 2,018.00
Introduction to Graph Theory
In recent years graph theory has emerged as a subject in its own right, as well as being an important mathematical tool in such diverse subjects as operational research, chemistry, sociology and genetics. Robin Wilson’s book has been widely used as a text for undergraduate courses in mathematics, computer science and economics, and as a readable introduction to the subject for non-mathematicians.The opening chapters provide a basic foundation course, containing definitions and examples, connectedness, Eulerian and Hamiltonian paths and cycles, and trees, with a range of applications. This is followed by two chapters on planar graphs and colouring, with special reference to the four-colour theorem. The next chapter deals with transversal theory and connectivity, with applications to network flows. A final chapter on matroid theory ties together material from earlier chapters, and an appendix discusses algorithms and their efficiency.
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R 390.00
R 1,404.00
Introduction to Soliton Theory: Applications to Mechanics
This monograph is planned to provide the application of the soliton theory to solve certain practical problems selected from the fields of solid mechanics, fluid mechanics and biomechanics. The work is based mainly on the authors’ research carried out at their home institutes, and on some specified, significant results existing in the published literature. The methodology to study a given evolution equation is to seek the waves of permanent form, to test whether it possesses any symmetry properties, and whether it is stable and solitonic in nature. Students of physics, applied mathematics, and engineering are usually exposed to various branches of nonlinear mechanics, especially to the soliton theory. The soliton is regarded as an entity, a quasi-particle, which conserves its character and interacts with the surroundings and other solitons as a particle. It is related to a strange phenomenon, which consists in the propagation of certain waves without attenuation in dissipative media. This phenomenon has been known for about 200 years (it was described, for example, by the Joule Verne's novel Les histoires de Jean Marie Cabidoulin, Éd. Hetzel), but its detailed quantitative description became possible only in the last 30 years due to the exceptional development of computers. The discovery of the physical soliton is attributed to John Scott Russell. In 1834, Russell was observing a boat being drawn along a narrow channel by a pair of horses.
R 6,006.00
