Thread: Ebooks for All

Originally Posted by osk1982

is it true..?

you are talking about which truth

MATLAB, developed by The MathWorks, Inc., integrates computation, visualization, and programming in a flexible, open environment. It offers engineers and scientists an intuitive language for expressing problems and their solutions mathematically and graphically. Complex numeric and symbolic problems can be solved in a fraction of the time required with a programming language such as C, Fortran, or Java.
The new edition of this book covers MATLAB 6.1. Lots of changes have been made since the 5th edition of the book:
a description of how to use MATLAB's graphic user interface.
more emphasis on matrix computations, without using for-loops. For-loops and other control structures now appear after submatrices, colon notation, and matrix functions. A new section on the "find" function has been added.
the examples in the book are all linked together.
a new chapter on calling a C routine from MATLAB.
additional material on sparse matrix ordering and visualization.
This low-cost pocket book is ideal for getting up and running with MATLAB. It's also well-suited as a second textbook in courses that make use of MATLAB.

Code:

http://rapidshare.com/files/272306588/MATLAB_Primer__6th_Ed__-_Kermit_Sigmon___Timothy_A._Davis.pdf

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The latest edition in this best-selling series, MATLAB® Primer, Seventh Edition incorporates a number of enhancements such as changes to the desktop, new features for developing M-files, the JIT accelerator, and an easier way of importing Java classes. In addition to the features new to version 7.0, this book includes a new section on M-Lint (the new debugger for M-files), a new chapter on calling Java from MATLAB and using Java objects inside the MATLAB workspace, a new chapter on calling Fortran from MATLAB, a new chapter on solving symbolic and numeric polynomials, nonlinear equations, and differential equations, and a new chapter on cell publishing, which replaces the “notebook” feature..

Code:

http://rapidshare.com/files/272306830/MATLAB_Primer__7th_Ed__-_Timothy_A._Davis___Kermit_Sigmon.pdf

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MATLAB Recipes for Earth Sciences - M.H.Trauth

Code:

http://rapidshare.com/files/272307318/MATLAB_Recipes_for_Earth_Sciences_-_M.H.Trauth.pdf

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MATLAB Simulations for Radar Systems Design - Bassem R. Mahafza & Atef Z. Elsherbeni



Product Description
Simulation is integral to the successful design of modern radar systems, and there is arguably no better software for this purpose than MATLAB. But software and the ability to use it does not guarantee success. One must also:ÖUnderstand radar operations and design philosophyÖKnow how to select the radar parameters to meet the design requirementsÖBe able to perform detailed trade-off analysis in the context of radar sizing, modes of operation, frequency selection, waveforms, and signal processingÖDevelop loss and error budgets associated with the design MATLAB Simulations for Radar Systems Design teaches all of this and provides the M-files and hands-on simulation experience needed to design and analyze radar systems. Part I forms a comprehensive description of radar systems, their analysis, and the design process. The authors' unique approach involves a design case study introduced in Chapter 1 and followed throughout the text. As the treatment progresses, the complexity increases and the case study requirements are adjusted accordingly. Part II presents a series of chapters-some authored by other experts in the field-on specialized radar topics important to a full understanding of radar systems design and analysis. A comprehensive set of MATLAB programs and functions support both parts of the book and are available for download from the CRC Press Web site.

Code:

http://rapidshare.com/files/272307318/MATLAB_Recipes_for_Earth_Sciences_-_M.H.Trauth.pdf

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Mechanics of Composite Materials with MATLAB - George Z. Voyiadjis & Peter I. Kattan

Code:

http://rapidshare.com/files/272311289/Mechanics_of_Composite_Materials_with_MATLAB_-_George_Z._Voyiadjis___Peter_I._Kattan.pdf

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Numerical Analysis Using MATLAB and Excel - Steven T. Karris


Numerical Analysis Using MATLAB and Excel (Third Edition)
By Steven T. Karris

Publisher: Orchard Publications
Number Of Pages: 627
Publication Date: 2007-02-21
ISBN-10 / ASIN: 1934404039
ISBN-13 / EAN: 9781934404034
Binding: Paperback


This text includes the following chapters and appendices: Introduction to MATLAB, Root approximations, Sinusoids and complex numbers, Matrices and determinants, Review of differential equations, Fourier, Taylor, and Maclaurin series, Finite differences and interpolation, Linear and parabolic regression, Solution of differential equations by numerical methods, Integration by numerical methods, Difference equations, Partial fraction expansion, The Gamma and Beta Functions and distributions, Orthogonal functions and matrix factorizations, Bessel, Legendre, and Chebyshev polynomials, Optimization methods, Difference Equations in Discrete-Time systems, Introduction to Simulink, Ill-Conditioned Matrices. Each chapter contains numerous practical applications supplemented with detailed instructions for using MATLAB and/or Excel to obtain quick solutions.

Code:

http://rapidshare.com/files/272311787/Numerical_Analysis_Using_MATLAB_and_Excel_-_Steven_T._Karris.pdf

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Numerical Analysis Using MATLAB and Spreadsheets - Steven T. Karris

Code:

http://rapidshare.com/files/272312319/Numerical_Analysis_Using_MATLAB_and_Spreadsheets_-_Steven_T._Karris.pdf

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Numerical Methods in Engineering with MATLAB - Jaan Kiusalaas

Code:

http://rapidshare.com/files/272313204/Numerical_Methods_in_Engineering_with_MATLAB_-_Jaan_Kiusalaas.pdf

Originally Posted by shady_11

thanx mate!

Welcome

Numerical Methods in Finance & Economics A MATLAB based Introduction - Paolo Brandimarte



This book presents a state-of-the-art introduction to the powerful mathematical and statistical tools used in the field of finance. The use of mathematical models and numerical techniques is a practice employed by a growing number of applied mathematicians working on applications in finance. Reflecting this development, "Numerical Methods in Finance and Economics: A MATLAB-Based Introduction, Second Edition" bridges the gap between financial theory and computational practice while showing readers how to utilize MATLAB - the powerful numerical computing environment - for financial applications. The author provides an essential foundation in finance and numerical analysis in addition to background material for students from both engineering and economics perspectives. A wide range of topics is covered, including standard numerical analysis methods, Monte Carlo methods to simulate systems affected by significant uncertainty, and optimization methods to find an optimal set of decisions.Among this book's most outstanding features is the integration of MATLAB, which helps students and practitioners solve relevant problems in finance, such as portfolio management and derivatives pricing.
This tutorial is useful in connecting theory with practice in the application of classical numerical methods and advanced methods, while illustrating underlying algorithmic concepts in concrete terms.Newly featured in the Second Edition include: in-depth treatment of Monte Carlo methods with due attention paid to variance reduction strategies; new appendix on AMPL in order to better illustrate the optimization models in Chapters 11 and 12; new chapter on binomial and trinomial lattices; additional treatment of partial differential equations with two space dimensions; expanded treatment within the chapter on financial theory to provide a more thorough background for engineers not familiar with finance; and, new coverage of advanced optimization methods and applications later in the text."Numerical Methods in Finance and Economics: A MATLAB-Based Introduction, Second Edition" presents basic treatments and more specialized literature, and it also uses algebraic languages, such as AMPL, to connect the pencil-and-paper statement of an optimization model with its solution by a software library.
Offering computational practice in both financial engineering and economics fields, this book equips practitioners with the necessary techniques to measure and manage risk.

Code:

http://rapidshare.com/files/272362806/Numerical_Methods_in_Finance___Economics_A_MATLAB_based_Introduction_-_Paolo_Brandimarte.pdf

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This book provides a fundamental introduction to numerical analysis. This book covers numerous topics including Interpolation and Polynomial Approximation, Curve Fitting, Numerical Differentiation, Numerical Integration, and Numerical Optimization. For engineering and computer science fields.

From the Inside Flap
This book provides a fundamental introduction to numerical analysis suitable for undergraduate students in mathematics, computer science, physical sciences, and engineering. It is assumed that the reader is familiar with calculus and has taken a structured programming course. The text has enough material fitted modularly for either a single-term course or a year sequence. In short, the book contains enough material so that instructors will be able to select topics appropriate to their needs.
Students of various backgrounds should find numerical methods quite interesting and useful, and this is kept in mind throughout the book. Thus, there is a wide variety of examples and problems that help to sharpen one's skill in both the theory and practice of numerical analysis. Computer calculations are presented in the form of tables and graphs whenever possible so that the resulting numerical approximations are easier to visualize and interpret. MATLAB programs are the vehicle for presenting the underlying numerical algorithms.
Emphasis is placed on understanding why numerical methods work and their limitations. This is challenging and involves a balance between theory, error analysis, and readability. An error analysis for each method is presented in a fashion that is appropriate for the method at hand, yet does not turn off the reader. A mathematical derivation for each method is given that uses elementary results and builds the student's understanding of calculus. Computer assignments using MATLAB give students an opportunity to practice their skills at scientific programming.
Shorter numerical exercises can be carried out with a pocket calculator/computer, and the longer ones can be done using MATLAB subroutinie libraries. It is left for the instructor to guide the students regarding the pedagogical use of numerical computations. Each instructor can make assignments that are appropriate to the available computing resources. Experimentation with the MATLAB subroutine libraries is encouraged. These materials can be used to assist students in the completion of the numerical analysis component of computer laboratory exercises.
In this edition a section on Bezier curves has been added to the end of the chapter on curve fitting. Additionally, the chapter on numerical optimization has been expanded to include an introduction to both direct and derivative based methods for optimizing functions of one or more variables.An instructor's solution manual for the exercise sets is available from the publisher.
Previously, we took the attitude that any software program that students mastered would work fine. However, many students entering this course have yet to master a programming language (computer science students excepted). MATLAB has become the tool of nearly all engineers and applied mathematicians, and its newest versions have improved the programming aspects. So we think that students will have an easier and more productive time in this MATLAB version of our text.

Code:

http://rapidshare.com/files/272364504/Numerical_Methods_using_MATLAB_-_Mathews_and_Fink.pdf

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Numerical Techniques for Chemical & Biological Engineers Using MATLAB - Elnashaie & Uhlig



All reactive chemical and biological processes are highly nonlinear allowing for multiple steady states. This book addresses the bifurcation characteristics of chemical and biological processes as the general case and treats systems with a unique steady state as special cases. It uses a system approach which is the most efficient for knowledge organization and transfer. The book develops mathematical models for many commercial processes utilizing the mass-, momentum-, and heat-balance equations coupled to the rates of the processes that take place within the boundaries of the system. The models are solved numerically through MATLAB codes with emphasis on the design and optimization of the chemical and biological industrial equipment and plants, such as single and batteries of CSTRs, porous and nonporous catalyst pellets and their effectiveness factors, tubular catalytic and noncatalytic reactors, fluidized bed catalytic reactors, coupled fluidized beds such as reactor-regenerator systems (industrial fluid catalytic cracking units), fluidized bed reformers for producing hydrogen or syngas, fermenters for fuel ethanol, simulation of the brain acetylcholine neurocycle, anaerobic digesters, co- and counter current absorption columns, and many more. The book also includes verification against industrial data. The book's CD contains nearly 100 MATLAB programs which are meant to teach the readers how to solve a variety of important chemical and biological engineering problems. The algorithms include solving transcendental and algebraic equations, with and without bifurcation; as well as initial and boundary value ordinary differential equations. Said Elnashaie is Professor of Chemical and Biological Engineering at the University of British Columbia. Frank Uhlig is Professor of Mathematics at Auburn University. Chadia Affane is a PH.D. candidate in Applied Mathematics at Auburn with a B.S.in Chemical Engineering. The active interaction of these authors has brought about this new and modern interdisciplinary book.

Code:

http://rapidshare.com/files/272365292/Numerical_Techniques_for_Chemical___Biological_Engineers_Using_MATLAB_-_Elnashaie___Uhlig.pdf

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Optics Learning by Computing with Examples using MATLAB - K.D. Moller

Code:

http://rapidshare.com/files/272366891/Optics_Learning_by_Computing_with_Examples_using_MATLAB_-_K.D._Moller.pdf

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Ordinary and Partial Differential Equation Routines in Matlab - H.J. Lee



This book provides a set of ODE/PDE integration routines in the six most widely used computer languages, enabling scientists and engineers to apply ODE/PDE analysis toward solving complex problems. It concisely reviews integration algorithms, then analyzes the widely used Runge-Kutta method. It first presents a complete code before discussing its components in detail, focusing on integration concepts such as error monitoring and control. The format allows readers to understand the basics of ODE/PDE integration, then calculate sample numerical solutions within a targeted programming language. The applications discussed can be used as templates for the development of a spectrum of new applications.
From the Back Cover
Scientists and engineers attempting to solve complex problems require efficient, effective ways of applying numerical methods to ODEs and PDEs. They need a resource that enables fast access to library routines in their choice of a programming language.
Ordinary and Partial Differential Equation Routines in C, C++, Fortran, Java, Maple, and MATLAB provides a set of ODE/PDE integration routines in the six most widely used languages in science and engineering, enabling scientists and engineers to apply ODE/PDE analysis toward solving complex problems.
This text concisely reviews integration algorithms, then analyzes the widely used Runge Kutta method It first presents a complete code before discussing its components in detail, focusing on integration concepts such as error monitoring and control.
The format allows you to understand the basics of ODE/PDE integration, then calculate sample numerical solutions within your targeted programming language. The applications discussed can be used as templates for the development of a spectrum of new applications and associated codes.

Code:

http://rapidshare.com/files/272367044/Ordinary_and_Partial_Differential_Equation_Routines_in_Matlab_-_H.J._Lee___W.E._Schiesser.pdf