Advanced Engineering Mathematics with Matlab 2003

hi_china59 · 发表于 2013-1-14 16:10:39

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Advanced Engineering Mathematics with Matlab
Author(s): Dean G. Duffy
Publisher:
Date: 2003-03-28

Resoundingly popular in its first edition, Dean Duffy's Advanced Engineering Mathematics has been updated, expanded, and now more than ever provides the solid mathematics background required throughout the engineering disciplines. Melding the author's expertise as a practitioner and his years of teaching engineering mathematics, this text stands clearly apart from the many others available. Relevant, insightful examples follow nearly every concept introduced and demonstrate its practical application. This edition includes two new chapters on differential equations, another on Hilbert transforms, and many new examples, problems, and projects that help build problem-solving skills. Most importantly, the book now incorporates the use of MATLAB throughout the presentation to reinforce the concepts presented. MATLAB code is included so readers can take an analytic result, fully explore it graphically, and gain valuable experience with this industry-standard software.

hi_china59 · 发表于 2013-7-22 10:29:54

William E. Boyce and Richard C. DiPrima, "Elementary Differential Equations, 10th edition"
English
ISBN: 0470458321
2012
672 pages |

Take advantage of valuable study resources to succeed in your course

This new edition of Boyce & DiPrima’s Elementary Differential Equations, 8/e, and the accompanying supplements have been carefully developed to give you the support you need to succeed in your course. The Eighth Edition gives you a CD-ROM with powerful ODE Architect modeling software and an array of web-based learning tools to support your studies.

The CD-ROM includes:
The award-winning ODE Architect software. The software’s 14 modules enable you to build and solve your own ODEs, and to use simulations and multimedia to develop detailed mathematical models and concepts in a truly interactive environment.
The ODE Architect Companion. The Companion extends the ideas featured in each multimedia module.

The web-based learning tools include:
Review & Study Guidelines. The Chapter Review Guidelines will help you prepare for quizzes and exams.
Online Review Quizzes. The quizzes enable you to test your knowledge of key concepts and provide diagnostic feedback that references appropriate sections in the text.
PowerPoint Slides. You can print these slides out for in-class note taking.
Getting Started with ODE Architect. This guide will help you get up-and-running with ODE Architect’s simulations and multimedia.

hi_china59 · 发表于 2013-7-22 14:47:36

Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB by Alexander Stanoyevitch
2005
ISBN-10: 0471697389
832 pages

Learn how to solve complex differential equations using MATLAB
Introduction to Numerical Ordinary and Partial Differential Equations Using MATLAB® teaches readers how to numerically solve both ordinary and partial differential equations with ease. This innovative publication brings together a skillful treatment of MATLAB and programming alongside theory and modeling. By presenting these topics in tandem, the author enables and encourages readers to perform their own computer experiments, leading them to a more profound understanding of differential equations.

The text consists of three parts:
Introduction to MATLAB and numerical preliminaries, which introduces readers to the software and itsgraphical capabilities and shows how to use it to write programs
Ordinary Differential Equations
Partial Differential Equations

All the tools needed to master using MATLAB to solve differential equations are provided and include:
"Exercises for the Reader" that range from routine computations to more advanced conceptual and theoretical questions (solutions appendix included)
Illustrative examples, provided throughout the text, that demonstrate MATLAB's powerful ability to solve differential equations
Explanations that are rigorous, yet written in a very accessible, user-friendly style
Access to an FTP site that includes downloadable files of all the programs developed in the text

This textbook can be tailored for courses in numerical differential equations and numerical analysis as well as traditional courses in ordinary and/or partial differential equations. All the material has been classroom-tested over the course of many years, with the result that any self-learner with an understanding of basic single-variable calculus can master this topic. Systematic use is made of MATLAB's superb graphical capabilities to display and analyze results. An extensive chapter on the finite element method covers enough practical aspects (including mesh generation) to enable the reader to numerically solve general elliptic boundary value problems. With its thorough coverage of analytic concepts, geometric concepts, programs and algorithms, and applications, this is an unsurpassed pedagogical tool.

hi_china59 · 发表于 2013-7-22 21:10:50

本帖最后由 hi_china59 于 2013-7-22 23:12 编辑

First Course in Probability & Solutions Manual, 8th Edition
2009
ISBN: 013603313X, 0136079091
552 pages

A First Course in Probability, Eighth Edition, features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications. This book is ideal for an upper-level undergraduate or graduate level introduction to probability for math, science, engineering and business students. It assumes a background in elementary calculus.

wangjin0215 · 发表于 2013-7-22 22:22:41

kankan,xiexie....

waveguides · 发表于 2013-7-23 01:30:05

小宝库啊，楼主辛苦了。

hi_china59 · 发表于 2013-7-26 13:55:20

The Theory of Probability: Explorations and Applications by Professor Santosh S. Venkatesh,

ISBN: 1107024471
2012
828 pages

From classical foundations to advanced modern theory, this self-contained and comprehensive guide to probability weaves together mathematical proofs, historical context and richly detailed illustrative applications. A theorem discovery approach is used throughout, setting each proof within its historical setting and is accompanied by a consistent emphasis on elementary methods of proof. Each topic is presented in a modular framework, combining fundamental concepts with worked examples, problems and digressions which, although mathematically rigorous, require no specialised or advanced mathematical background. Augmenting this core material are over 80 richly embellished practical applications of probability theory, drawn from a broad spectrum of areas both classical and modern, each tailor-made to illustrate the magnificent scope of the formal results. Providing a solid grounding in practical probability, without sacrificing mathematical rigour or historical richness, this insightful book is a fascinating reference and essential resource, for all engineers, computer scientists and mathematicians.

hi_china59 · 发表于 2013-7-26 14:05:19

Schaum's Outline of Probability, Random Variables, and Random Processes, Second Edition (Schaum's Outline Series)

Book Description
Publication Date: August 2, 2010 | ISBN-10: 0071632891 | ISBN-13: 978-0071632898 | Edition: 2
Study faster, learn better, and get top grades

Modified to conform to the current curriculum, Schaum's Outline of Probability, Random Variables, and Random Processes complements these courses in scope and sequence to help you understand its basic concepts. The book offers extra practice on topics such as bivariate random variables, joint distribution functions, moment generating functions, Poisson processes, Wiener processes, power spectral densities, and white noise. You'll also get coverage of linear systems to random outputs, Fourier series and Karhunen-Loéve expansions, Fourier transform of random processes, parameter estimation, Bayes' estimation, and mean square estimation. Appropriate for the following courses: Probability, Random Processes, Stochastic Processes, Probability and Random Variables, Introduction to Probability and Statistics

Features:

405 solved problems
Additional material on distributions, the Markov Process, and Martingales
Support for all the major textbooks for probability, variables, and processes courses
Topics include: Probability, Random Variables, Multiple Random Variables, Functions of Random Variables, Expectation, Limit Theorems, Random Processes, Analysis and Processing of Random Processes, Estimation Theory, Decision Theory, Queueing Theory