an introduction to mathematical modeling dover books on computer science

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An Introduction To Mathematical Modeling

Author : Edward A. Bender
ISBN : 9780486137124
Genre : Mathematics
File Size : 23. 34 MB
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Accessible text features over 100 reality-based examples pulled from the science, engineering, and operations research fields. Prerequisites: ordinary differential equations, continuous probability. Numerous references. Includes 27 black-and-white figures. 1978 edition.

Mathematical Modeling And Simulation

Author : Kai Velten
ISBN : 9783527627615
Genre : Science
File Size : 82. 2 MB
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This concise and clear introduction to the topic requires only basic knowledge of calculus and linear algebra - all other concepts and ideas are developed in the course of the book. Lucidly written so as to appeal to undergraduates and practitioners alike, it enables readers to set up simple mathematical models on their own and to interpret their results and those of others critically. To achieve this, many examples have been chosen from various fields, such as biology, ecology, economics, medicine, agricultural, chemical, electrical, mechanical and process engineering, which are subsequently discussed in detail. Based on the author`s modeling and simulation experience in science and engineering and as a consultant, the book answers such basic questions as: What is a mathematical model? What types of models do exist? Which model is appropriate for a particular problem? What are simulation, parameter estimation, and validation? The book relies exclusively upon open-source software which is available to everybody free of charge. The entire book software - including 3D CFD and structural mechanics simulation software - can be used based on a free CAELinux-Live-DVD that is available in the Internet (works on most machines and operating systems).

The Cumulative Book Index

Author :
ISBN : UOM:39015058373740
Genre : American literature
File Size : 29. 52 MB
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Introduction To Stochastic Models

Author : Roe Goodman
ISBN : 9780486450377
Genre : Mathematics
File Size : 64. 57 MB
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Newly revised by the author, this undergraduate-level text introduces the mathematical theory of probability and stochastic processes. Using both computer simulations and mathematical models of random events, it comprises numerous applications to the physical and biological sciences, engineering, and computer science. Subjects include sample spaces, probabilities distributions and expectations of random variables, conditional expectations, Markov chains, and the Poisson process. Additional topics encompass continuous-time stochastic processes, birth and death processes, steady-state probabilities, general queuing systems, and renewal processes. Each section features worked examples, and exercises appear at the end of each chapter, with numerical solutions at the back of the book. Suggestions for further reading in stochastic processes, simulation, and various applications also appear at the end.

An Introduction To Identification

Author : J. P. Norton
ISBN : 9780486469355
Genre : Mathematics
File Size : 62. 15 MB
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Suitable for advanced undergraduates and graduate students, this text covers the theoretical basis for mathematical modeling as well as a variety of identification algorithms and their applications. 1986 edition.

Mathematical Models For Speech Technology

Author : Stephen Levinson
ISBN : 0470844078
Genre : Computers
File Size : 68. 73 MB
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Mathematical Models of Spoken Language presents themotivations for, intuitions behind, and basic mathematical modelsof natural spoken language communication. A comprehensive overviewis given of all aspects of the problem from the physics of speechproduction through the hierarchy of linguistic structure and endingwith some observations on language and mind. The author comprehensively explores the argument that thesemodern technologies are actually the most extensive compilations oflinguistic knowledge available.Throughout the book, the emphasis ison placing all the material in a mathematically coherent andcomputationally tractable framework that captures linguisticstructure. It presents material that appears nowhere else and gives aunification of formalisms and perspectives used by linguists andengineers. Its unique features include a coherent nomenclature thatemphasizes the deep connections amongst the diverse mathematicalmodels and explores the methods by means of which they capturelinguistic structure. This contrasts with some of the superficial similaritiesdescribed in the existing literature; the historical background andorigins of the theories and models; the connections to relateddisciplines, e.g. artificial intelligence, automata theory andinformation theory; an elucidation of the current debates and theirintellectual origins; many important little-known results and someoriginal proofs of fundamental results, e.g. a geometricinterpretation of parameter estimation techniques for stochasticmodels and finally the author's own unique perspectives on thefuture of this discipline. There is a vast literature on Speech Recognition and Synthesishowever, this book is unlike any other in the field. Although itappears to be a rapidly advancing field, the fundamentals have notchanged in decades. Most of the results are presented in journalsfrom which it is difficult to integrate and evaluate all of theserecent ideas. Some of the fundamentals have been collected intotextbooks, which give detailed descriptions of the techniques butno motivation or perspective. The linguistic texts are mostlydescriptive and pictorial, lacking the mathematical andcomputational aspects. This book strikes a useful balance bycovering a wide range of ideas in a common framework. It providesall the basic algorithms and computational techniques and ananalysis and perspective, which allows one to intelligently readthe latest literature and understand state-of-the-art techniques asthey evolve.

Introductory Graph Theory

Author : Gary Chartrand
ISBN : 9780486134949
Genre : Science
File Size : 43. 3 MB
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Clear, lively style covers all basics of theory and application, including mathematical models, elementary graph theory, transportation problems, connection problems, party problems, diagraphs and mathematical models, games and puzzles, more.

Introduction To Artificial Intelligence

Author : Philip C. Jackson
ISBN : 9780486152721
Genre : Science
File Size : 55. 35 MB
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Comprehensive survey of artificial intelligence — the study of how computers can be made to act intelligently. Includes introductory and advanced material. Extensive notes updating the main text. 132 illustrations.

American Book Publishing Record

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ISBN : UOM:39015016313598
Genre : United States
File Size : 28. 5 MB
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Subject Guide To Books In Print

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ISBN : STANFORD:36105025888533
Genre : American literature
File Size : 39. 73 MB
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