MATLAB: An Introduction with Applications 2nd Edition

Book Description

Assuming no prior MATLAB experience, this clear, easy-to-read book walks readers through the ins and outs of this powerful software for technical computing, including:

Generously illustrated computer screen shots and step-by-step tutorials applied in the areas of mathematics, science, and engineering
Clearly shows how MATLAB is used in science and engineering
Includes a completely new chapter on Symbolic Math
Thoroughly updated to match Matlab's newest release, Matlab 7

Customer Reviews:

Great for learning the basics of MATLAB........2007-08-18

I purchased this title because I am starting a numerical analysis sequence next year using Matlab and I knew only how to plot in 2D and do simple calculations at the command line. After studying from Gilat's text for the past month or so I feel very comfortable using Matlab for all the basics and I am ready to learn how to exploit the full power of the program.

Each chapter gives just enough mathematical background to provide anyone with at least college algebra/trig enough to understand what is going on.
Although this book does not cover any topic too deeply, it does cover the fundamentals of many aspects of Matlab in a way that allows the reader to move fairly quickly through the whole book without getting bogged down in any one area.

In the end you will know the basics about how Matlab operates: how to work with vectors and matrices, how to write simple programs and function files, how to plot and format data, how to fit data to a curve, and how to differentiate and integrate both numerically and symbolically, and a bunch of other great tools for solving problems.

Also, as the other reviewers mentioned, the book makes very good use of graphics to show how input and output should look, as well as what exactly each line means.

I would recommend this text to anyone wanting to learn the basics of Matlab.

Reader.......2007-04-23

If you plan to start with Matlab with no prior experience, this book beats most of the other available titles.Since an inside view of the book is not available on Amazon, I will for the benefit of others list out the chapters here.Ch1 begins with the necessary introduction,developing familiarity with the command window,display formats and precedence of operators.It moves on to Ch2 and Ch3 where arrays are introduced and the mathematical operations on them explained.Ch4 is about script files,Ch5 on elementary plotting techniques using in-built functions like plot and fplot.Ch6 introduces functions and Ch7 extends the previous material to formal programming techniques like loops and control structures.Ch8 explains curve fitting and interpolation,Ch9 is about three dimensional plots and special graphics.Ch10, the last one of the book uses Matlab to do symbolic math which cover elementary algebraic equations.The examples contained in the book are from elementary physics and engineering,so if you are looking for more advanced material that has been treated using Matlab,this might be a little less helpful.The numerical techniques again cover simple problems like projectile trajectory,flow of water from a vessel with a small hole punched in its sidewall,RC circuits, viscosity and so on.Relatively advanced topics like Fourier transforms and applications to signal processing are also left out.If you are done with this book or feel that the material isnt of much help, I will suggest that you might try "Numerical Computing with Matlab" by Moler(he is perhaps one of the architects of Matlab).This book(electronic version) is available for free from the mathworks website [...].Overall this book does a good job in explaining details and is also generously sprinkled with figures and screenshots.Please try it if you are first timer to Matlab.

Very good introduction.......2006-05-04

I had never used matlab when I started reading this book and I found it very easy to follow. I now have a good working understanding of the matlab basics and I recommend that anyone who's looking to get started with matlab pick up a copy.

The perfect introductory text for MATLAB.......2005-12-08

If you are completely new to MATLAB then you will find no better book to guide you through the basics. It is perfectly suited for teaching yourself several basic but still very interesting and useful programming techniques. Topics are presented to the reader in an order carefully determined to produce maximum benefit and knowledge. The book is short and very readable, with many example programs.

In short: if you want a FIRST introductory textbook for MATLAB, you can't beat this book. And it covers the latest version (Release 14).

A truly excellent text!.......2005-11-21

This book was written for teaching Matlab to freshmen in an introductory engineering course, so most of the examples are from first year physics and engineering. Nevertheless, after looking at all competing texts, I chose it to teach Matlab to sophomore geology majors, most of whom had not yet taken calculus or physics. I was very happy with the results; by the end of the semester the students were well on their way to being competent programmers, and I think they will find calculus and physics much easier because of their experience with this book.

I chose this text because it is very well written--you can tell the author has had long experience teaching the subject--and because of its many excellent examples. Most people learn faster by example than by theory, and the examples in this book are easier to follow than those of other texts. Each example shows the command window with a gray background and white insets, or call-outs, containing explanations. The pages are attractive.

In the main text, Matlab commands are set in Courier to clearly distinguish them from the discussion itself. Sections are fairly short and easy to follow, and at the end of each chapter there are many problems of gradually increasing difficulty. The solutions to some problems are given at the back of the book. The abundance of complete examples makes it easy to skip around in the book as soon as students are familiar with Matlab syntax. There are astonishingly few typos and none were serious. Cell arrays and structures are used only where needed for particular commands, a wise pedagogical decision. I particularly enjoyed the second edition's new chapter on symbolic math, as I had never used this part of Matlab in my own research.

The book is 7.5"x9.25" in size with 343 pages, and so is easy to carry around. It's inexpensive, as textbooks go nowadays.

Numerical Methods in Finance and Economics: A MATLAB-Based Introduction (Statistics in Practice)

Average customer rating:

Great book for quants
Like it, just what I need
Misssing the new stuff, still good on the old methods

Numerical Methods in Finance and Economics: A MATLAB-Based Introduction (Statistics in Practice)
Paolo Brandimarte
Manufacturer: Wiley-Interscience
ProductGroup: Book
Binding: Hardcover

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ASIN: 0471745030

Book Description

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:

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
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.

Customer Reviews:

Great book for quants.......2007-09-30

This is a great book if you want to be a quant or are interested in using mathematical methods for finance purposes. There are not many good books in this field and this one is definitely one of the few good ones out there.

However, this book is not for people with little background in math.

Like it, just what I need.......2007-05-23

It has up to date information about finance and math background needed. I pretty much like it.

Misssing the new stuff, still good on the old methods.......2007-04-19

The book earns 4 stars for how it combines what has been out there for some time with Matlab functionality. What one would have appreciated though is something about all the new stuff that has evolved in the last few years (e.g. credit risk, etc.)

Introduction to Calculus and Analysis, Volume 1 (Classics in Mathematics)

Average customer rating:

a superb book
More than an introduction
Absolutely beautiful!
simply the Best Calculus Book
You must have this.

Introduction to Calculus and Analysis, Volume 1 (Classics in Mathematics)
Richard Courant , and Fritz John
Manufacturer: Springer
ProductGroup: Book
Binding: Paperback

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Accessories:

Understanding Analysis
Problems and Solutions for Undergraduate Analysis (Undergraduate Texts in Mathematics)
Real Mathematical Analysis

ASIN: 354065058X

Book Description

From the reviews: "Volume 1 covers a basic course in real analysis of one variable and Fourier series. It is well-illustrated, well-motivated and very well-provided with a multitude of unusually useful and accessible exercises. (...) There are three aspects of Courant and John in which it outshines (some) contemporaries: (i) the extensive historical references, (ii) the chapter on numerical methods, and (iii) the two chapters on physics and geometry. The exercises in Courant and John are put together purposefully, and either look numerically interesting, or are intuitively significant, or lead to applications. It is the best text known to the reviewer for anyone trying to make an analysis course less abstract. (...)" The Mathematical Gazette (75.1991.471)

Customer Reviews:

a superb book.......2006-04-05

This is a rewrite of the great book by Courant, and it does justice to its origin. I prefer the somewhat more charming original book of Courant myself, but I have taught from this one too and learned something more.

Since the original Courant costs $120 for the 2 volume set, this volume at $33 is a bargain, so snap it up. This is 10 times as valuable as most current $130 calculus books.

More than an introduction.......2005-12-15

Those books (volumes 1-2) can be seen as a new edition of Courant's classical Differential and Integral Calculus, volumes 1-2 (that can still be used for general calculus courses). The first volume was written while Courant was still alive, and the second was postumous. I believe that they are the best work to start understanding analysis. Indeed, for the general scientist (as a physicist) it contains all the theory needed for any application. The book is not easy reading though. Much of the text can be understood on first reading, but there are pretty profound sections, mostly on the appendixes, that turn the book genuinely onto a book of analysis. The second volume requires some mathematical maturity, and I doubt whether it is suitable for beginners, but it is simply the best book of multivariate calculus that I know - and it is really difficult to think of a better presentation. Courant was a giant, and his concept of mathematics shines in every page of those books (although he did not see the publication of the second volume, his hand can be seen in every page). For the serious mathematician, a must-have. For the beginner, the best way to get in love. Courant and John don't lie, they give every proof and guide you most gently in this complicated garden called mathematics. I'd give it aleph stars if it was possible.

Absolutely beautiful!.......2005-01-24

I give 5 stars to this book because in contrast with the majority of the calculus textbooks it gives the reader the perfect combination between rigor and intuiton. Another thing that I also like a lot is the fact that volume 2 has solutions to almost all the excercises, which is great because some of the problems are very difficult. I really think this book is a "must have".

simply the Best Calculus Book.......2002-08-12

An intuitive, rigorous and a beautifully conceptual approach to calculus is what distinguishes this book from the thousands of run-of-the-mill "Calculus I" textbooks published every year.

This is not surprising because 1) Courant and John were both important German-born mathematicians, both schooled in that great mathematical mecca, Gottingen, both making fundamental contributions to many classical branches of pure and applied mathematics. Courant is an especially important mathematician since he not only studied under the greats Minkowski and Hilbert - even serving as the latter's assistant - but founded the Courant Institute of Mathematical Sciences in New York, modelled on the Gottingen Mathematical Institute. 2) That typical German thoroughness and emphasis on the mastery of the "fundamental concepts", so dear to German textbooks, is evident in all sections of the book, particularly in the introductory material on the number continuum, functions, continuity etc.

The exercises at the end of chapters are substantial and excellent, and help to develop proof skills in students as well as a subtle mathematical intuition.

Mathematics is best learnt by studying books written by important mathematicians. Classic books like these should always serve to prove the truth of Abel's dictum that to master mathematics one should 'study the masters and not the pupils'.

You must have this........2002-05-28

My review of the first volume pretty much applies here as well. How many *calculus* texts have an introduction to complex variables, and the theory of analytic functions? This is the only one I've ever seen, and I don't think anyone else could make it more enriching than Courant. Useful material on vector calculus, the theory of matrices, and even introductory material on the *calculus of variations* (something we usually don't see at *all* in the undergrad curriculum) is included. It is refreshing to have an instructor like Courant, who doesn't assume we can't follow higher mathematical roads, but also doesn't sit at the other end of the spectrum, just waving a wand and "poof, here is the result".

Courant also published a standard reference work (also two volumes, I believe) on Mathematical Physics. While the level of mathematics required is post-grad, I was still able to read sizeable sections of it without getting lost.

Book Description

Balanced coverage of the methodology and theory of numerical methods in finance

Numerical Methods in Finance bridges the gap between financial theory and computational practice while helping students and practitioners exploit MATLAB for financial applications.

Paolo Brandimarte covers the basics of finance and numerical analysis and provides background material that suits the needs of students from both financial engineering and economics perspectives. Classical numerical analysis methods; optimization, including less familiar topics such as stochastic and integer programming; simulation, including low discrepancy sequences; and partial differential equations are covered in detail. Extensive illustrative examples of the application of all of these methodologies are also provided.

The text is primarily focused on MATLAB-based application, but also includes descriptions of other readily available toolboxes that are relevant to finance. Helpful appendices on the basics of MATLAB and probability theory round out this balanced coverage. Accessible for students-yet still a useful reference for practitioners-Numerical Methods in Finance offers an expert introduction to powerful tools in finance.

Download Description

This book integrates the topics of numerical methods, financial problem solving, and MATLAB programming into one balanced treatment. Its tutorial approach features MATLAB examples as a means of illustrating the concepts in practical, every day financial problems.

Customer Reviews:

Too much introductive.......2003-04-08

Since there is few books on financial application of Matlab, I would say that Mr. Brandimarte has done a good pretty good job. I liked especially the fact that the book covers many topics (bond pricing, derivatives, optimization), however, even if the title says "an introduction", it is still too much introductive and you don't get a grip on the amazing capabilities of Matlab. This book is suitable for people discovering Matlab and Finance at the same time.

Numerical Solution of Partial Differential Equations: An Introduction

Average customer rating:

Good Starter

Numerical Solution of Partial Differential Equations: An Introduction
K. W. Morton , and D. F. Mayers
Manufacturer: Cambridge University Press
ProductGroup: Book
Binding: Paperback

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Finite Elements: Theory, Fast Solvers, and Applications in Solid Mechanics

ASIN: 0521607930

Book Description

This second edition of a highly successful graduate text presents a complete introduction to partial differential equations and numerical analysis. Revised to include new sections on finite volume methods, modified equation analysis, and multigrid and conjugate gradient methods, the second edition brings the reader up-to-date with the latest theoretical and industrial developments. First Edition Hb (1995): 0-521-41855-0 First Edition Pb (1995): 0-521-42922-6

Customer Reviews:

Good Starter.......2001-03-08

This book is a good starter for understanding how to numerically solve (Partial Differential Equations)PDE's. The chapters are arranged in an orderly manner and hints are provided then and there so that you wont need to switch back and forth between them. I myself a researcher in the field of Finite Element Analysis, which extensively involves PDE's for implementing the Finite element model. A thorough knowlegde of PDE's and the nature of their solutions is very important for such fields. This book is definitely the one which describes the nature of PDE's solutions and their interpretation, boundedness and applicability.

Fourier Analysis of Time Series: An Introduction (Wiley Series in Probability and Statistics)

Average customer rating:

nice beginning treatment of frequency domain time series

Fourier Analysis of Time Series: An Introduction (Wiley Series in Probability and Statistics)
Peter Bloomfield
Manufacturer: Wiley-Interscience
ProductGroup: Book
Binding: Hardcover

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Spectral Analysis of Time-Series Data
Time Series Analysis and Its Applications: With R Examples (Springer Texts in Statistics)
The Analysis of Time Series: An Introduction, Sixth Edition (Texts in Statistical Science)
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Spectral Analysis for Physical Applications

ASIN: 0471889482

Book Description

A new, revised edition of a yet unrivaled work on frequency domain analysis

Long recognized for his unique focus on frequency domain methods for the analysis of time series data as well as for his applied, easy-to-understand approach, Peter Bloomfield brings his well-known 1976 work thoroughly up to date. With a minimum of mathematics and an engaging, highly rewarding style, Bloomfield provides in-depth discussions of harmonic regression, harmonic analysis, complex demodulation, and spectrum analysis. All methods are clearly illustrated using examples of specific data sets, while ample exercises acquaint readers with Fourier analysis and its applications. The Second Edition:

Devotes an entire chapter to complex demodulation
Treats harmonic regression in two separate chapters
Features a more succinct discussion of the fast Fourier transform
Uses S-PLUS commands (replacing FORTRAN) to accommodate programming needs and graphic flexibility
Includes Web addresses for all time series data used in the examples

An invaluable reference for statisticians seeking to expand their understanding of frequency domain methods, Fourier Analysis of Time Series, Second Edition also provides easy access to sophisticated statistical tools for scientists and professionals in such areas as atmospheric science, oceanography, climatology, and biology.

Customer Reviews:

nice beginning treatment of frequency domain time series.......2001-07-01

As a time series analyst who studied time series in graduate school when the first edition of Bloomfield's book came out, I really appreciated it. The frequency approach to time series is not natural because we tend to look at the series to see how it changes (fluctuates) over time. This makes the time domain approach very natural. It is only when one sees periodicity in the series and can relate the series to a summation of sine and cosine waves that the frequency domain ideas get appreciated.

Bloomfield introduces Fourier series in a gentle way, making it clear. Concepts are introduced as needed to deal with specific aspects of real time series data. I particularly liked his treatment of complex demodulation, which could be a very difficult concept to grasp if not presented carefully. But Bloomfield explains it well and provides another way to look at the famous Wolfer sunspot data using an approach based on complex demodulation (assuming a slowly changing period for the series).

Average customer rating:

Average Elementary Numerical Analysis Text

will need supplimentation

Maybe i'm just biased...

it makes numeric sense

A strict NO for starters

Elementary Numerical Analysis 3rd Edition with MATLAB: An Introduction 2nd Edition Set
Kendall Atkinson
Manufacturer: Wiley
ProductGroup: Book
Binding: Hardcover

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Mechanical Design: An Integrated Approach

ASIN: 0471742570

Book Description

Covers basic topics as well as approximation methods, construction of algorithms, iteration methods, error analysis, stability, asymptotic error formulas and the effect of machine arithmetic. Computer programming applications are given in Fortran-77. Features numerous graphs, problems and exercises at the end of each section.

Customer Reviews:

Average Elementary Numerical Analysis Text.......2007-07-10

Just so you know the source of this review and whether or not you should bother trusting me (hmm..maybe not?):
Ph.D. student in Statistics at Iowa State University.
B.S. Computer Science
B.A. Mathematics

Research areas: numerical analysis, analysis of large data sets, stochastic processes
Former research areas: truth maintenance systems, microarray analysis, parallel computing

Note: Not a plug. I like my job.

First off, the book's title is very appropriate. It requires extensive knowledge of calculus and linear algebra, but it uses a fairly non-rigorous "easy" approach to numerical analysis. It's not advanced enough for use in a graduate level class, even for non-majors, but it is very useful and appropriate for sophomore/junior undergraduates. Even though the approach is somewhat non-rigorous, the book doesn't avoid proofs, and though a more advanced mathematician or computer scientist would see holes, it's a book that surely feels complete to most undergraduate math/cs majors/minors.

The explanations and proofs are definitely not perfect. The proofs leave out steps that they assume readers should find obvious. Academic types like Atkinson who have spent years of research in this field often forget just how difficult these concepts are to undergraduates, so some of these "obvious" steps are not going to be obvious to all readers and should not have been omitted. Mixed in with the proofs are some straightforward explanations, but often they are not in layman's terms and I remember scratching my head at times. So I would give the explanations and proofs a C-/D+.

The author does a better job at the exercises. This is a difficult topic, so you don't want to have to work out problems that are too difficult, but some challenge is required to attain mastery of the subject. I think that this book accomplishes that goal. The problems are rarely overly difficult, and though most would be trivial to professors or professionals, they provide enough challenge to undergraduates who are new to the field. The author also does a good job at choosing problems which are relevant. This is nice since many (most, actually) mathematics books include many problems which look contrived and whose results seem meaningless. Anyways, I give the exercises an A.

The content is decent, but a LOT is left out. Traditionally, a two-semester sequence includes a class on numerical analysis as it relates to differential equations and a class on numerical analysis as it relates to linear algebra. Preceding discussion of either one of these topics is a necessary discussion of general iterative methods and analysis of computational error. This book covers all of those topics but none of them extensively. For a one-semester overview, the content is perfect and includes more than enough material. For a traditional two-semester sequence, this book is a bit skimpy. As stated before, the book is also not appropriate for graduate level classes. So if you haven't learned functional analysis, then don't worry--this book is for you. I give the content a B-/C+.

I was a bit disappointed with the computing examples. The examples were not poorly chosen, but there were not enough of them. Also, I think that they should have used a programming language which is easy to read even if you don't know the language. I give the computing examples a D+.

Even though I said that this book is inappropriate for graduate classes, it might serve as a nice reference for graduate students. I always skim through it as a review before certain classes. Though it can be nice as a refresher, a graduate student would probably be happier with something more rigorous like Peter Linz's "Theoretical Numerical Analysis: An Introduction to Advanced Techniques" (overview - very short) or Kendall Atkinson's (the author who wrote this book) "Theoretical Numerical Analysis: A Functional Analysis Framework".

Final note: To those who complain that it requires extensive knowledge of calculus, was that not a prerequisite at your school? The calculus required to understand this book and work the problems is not at a high school level, but it's nothing that a student who has passed college univariate and multivariate calculus shouldn't be able to handle.

2.5 stars

will need supplimentation.......2004-09-16

Of course this book assumes (advanced?) knowledge of Calc 1 & 2 as well as linear algebra and preferably Dif. EQ. These are all prerequisites for the course in which the book is used. That being said, it is quite annoying when the book *completely* skips over intermediate steps involving calculus leaving the student scratching his head. I find myself with my nose more in my Calc. books trying to figure out what the steps leading to the answer rather than learning Num. Analysis. Would have been nice if at least some intermediate steps were added to most problems, but hey, this is college and hand holding should not be assumed.

There are 3 main gripes which contribute to the low rating.

1. The Cost. For the price of the book, (considering the way the material is presented (see 2.) there should be a solution manual bundled with it. (see 3.)

2. The explanations of the material is cut and dry and not verbose at all, [which adds 2 stars to an original 0 rating] however, there is usually only one example for a topic, followed by 10-15 excercises associated with that topic. This often leads to pure frustration and having to "google" for supplimentary material to help me through the problems due to the fact that the example is far more elemantary than the excercises.

3. Lack of solutions. Coupled with the lack of GOOD examples is the lack of solutions for the excercises you just struggled to drudge through. Chapters that typically have 10-15 problems, some with sub-problems in them usually have 5 or so solutions in the back. (so if there is say question 1, parts a-h, question 2, question 3 a - k....there would be a solution for question 1 part c, question 3 part g...).

If you take this course and this is the required text, pray that your professor has great lectures and notes(neither of which my prof. has) or be prepared to spend many hours on google looking for other references.

Maybe i'm just biased..........2002-01-29

I'm biased because i had the good fortune to take Intro to Numeric Analysis from Ken Atkinson himself. I beta-tested this edition of the text, so my copy is in a loose-leaf binder.

Some reviewers have complained that the book is difficult because examples are in FORTRAN rather than C. I disagree. The real meat of the book is written in mathematical form; what source he provides is merely a convenience. When i took his class, most of the students (myself included) implemented in C rather than FORTRAN. No problem, because he was looking for correct results, not reviewing code.

And yes, this book assumes a solid knowledge of calculus, linear algebra, basic differential equations, and discrete logic. Did you think you'd be able to code mathematics without *understanding* it? If you understand the math in the first place, his implementations are very clear. If you don't understand the math, no amount of clarity will save you.

The real beauty, for me, was how he logically built a progression of topics, with each step providing the foundation for the next one. It was like seeing two years of college math in miniature.

it makes numeric sense.......2001-05-09

i had the pain to use this book for my undergrad. coursework for a 200 level class at Cal Poly. Contrary to the other reviewers, i believe the exercises are mediocre, and the material presented lack depth to provide a solid grounding to numerical analysis. Codes are inconveniently written in fortran-97? instead of the more readable pseudo-code. It may provide a good application supplementary for engineering students, but i strongly advise against it for mathematics undergrads. No fun. Lots of handwaving and smoking mirrors.

A strict NO for starters.......2001-04-22

The author presumes that the reader has an advanced knowledge of calculus even though the book is intended for use by undergrads.the content in the chapters of the book are not enough to solve the questions at the end of ech chapter.if you are looking for an introductory course in NA dont even think of using this book.

Introduction to MATLAB with Numerical Preliminaries

Average customer rating:

Introduction to MATLAB with Numerical Preliminaries
Alexander Stanoyevitch
Manufacturer: Wiley-Interscience
ProductGroup: Book
Binding: Paperback

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ASIN: 0471697370

Book Description

MATLAB, short for MATrix LABoratory, is a versatile software ideal for computations using spreadsheet matrices, and suitable for mathematical analysis in a broad array of scientific fields. As it is extremely user-friendly, and boasts superb graphic capabilities, it has become very popular with students in particular. This book is a rigorous yet easy-to-use introduction to this popular software, including:
* An introduction to the graphical capabilities of MATLAB software, including how to write programs with it. The needed numerical methods preparation is also included.
* An extensive chapter on matrices and linear systems that integrate theory and applications with MATLAB's prowess.
* Illustrative examples and exercises ensure a sound understanding of the key concepts is developed.
* Explanations written in a style that is rigorous yet user-friendly.
* Individual sections concluding with extensive exercise sets, making this book suitable for use as a textbook.

Average customer rating:

Great introductory book on Matlab
Excellent introduction to MATLAB
My first book in Matlab

Introduction to Matlab 6 for Engineers
William J. Palm
Manufacturer: McGraw-Hill Companies
ProductGroup: Book
Binding: Paperback

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Getting Started With MATLAB: Version 6 : A Quick Introduction for Scientists and Engineers
Spreadsheet Tools for Engineers: Excel

ASIN: 0072349832

Book Description

This is a simple, concise, and useful book, explaining MATLAB for freshmen in engineering. MATLAB is presently a globally available standard computational tool for engineers and scientists. The terminology, syntax, and the use of the programming language are well defined and the organization of the material makes it easy to locate information and navigate through the textbook. This new text emphasizes that students do not need to write loops to solve many problems. The MATLAB "find" command with its relational and logical operators can be used instead of loops in many cases. This was mentioned in Palm's previous MATLAB texts, but receives more emphasis in this MATLAB 6 edition, starting with Chapter 1, and re-emphasized in Chapter 4.

Customer Reviews:

Great introductory book on Matlab.......2003-07-17

This is a very good book for novice to learn Matlab. It is clear and concise and with some work-out engineering examples. For beginners to learn Matlab, this book is better than " An Engineer's Guide to Matlab" by Edward B. Magrab. But if you already know some basics of Matlab and want more details and advanced functions or egineering examples, " An Engineer's Guide to Matlab" is a better choice.

Excellent introduction to MATLAB.......2003-06-22

This is an excellent introductory book to MATLAB. The examples provided is a great motivation for engineers who tend to shun away from computer programming. During my freshmen year, computer programming was taught by the computer science dept. Their method of teachin is a roller coaster ride for many engineers which resulted many of us, including me to have a phobia in programming. However, Palm has explained the use of MATLAB and programming with clear examples and some interesting exercise to keep one hook onto the subject as well as realizing the importance of MATLAB and programming in engineering.

Therefore, this is a highly recommended book for those who intend to learn more about MATLAB which is an important software for engineers.

My first book in Matlab.......2002-10-10

This books is very good as an introductory for Matlab users, espcially engineers.. It contains alot of enineering problems solved using Matlab. It is good for freshmen students and engineers. It can be studied as a first course in computer programming, rather than Fortran, C or Pascal. I am a lectureur in Electrical Engineering Department. I would recomend it to be studied using this text book.

Average customer rating:

MatLab 7 for Engineers
brief discourses on various maths methods
Really good book!
Had to buy it for Class
Not very good for coding

Introduction to Matlab 7 for Engineers
William J Palm III
Manufacturer: McGraw-Hill Science/Engineering/Math
ProductGroup: Book
Binding: Paperback

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Similar Items:

Applied Numerical Methods with MATLAB for Engineers and Scientists
Mastering MATLAB 7
Guide to LaTeX (4th Edition) (Tools and Techniques for Computer Typesetting)
Applied Numerical Methods with MATLAB for Engineering and Science w/ Engineering Subscription Card
Calculus with Analytic Geometry

ASIN: 0072548185

Book Description

This is a simple, concise book designed to be useful for beginners and to be kept as a reference. MATLAB is presently a globally available standard computational tool for engineers and scientists. The terminology, syntax, and the use of the programming language are well defined and the organization of the material makes it easy to locate information and navigate through the textbook. The text covers all the major capabilities of MATLAB that are useful for beginning students. An instructor’s manual and other web resources are available.

Customer Reviews:

MatLab 7 for Engineers.......2007-09-25

Almost completely the same as MatLab6 for Engineers no need to buy the new book if you have the previous edition. But does a good job of covering the scope of MatLab.

brief discourses on various maths methods.......2006-10-03

Palm demonstrates the simple versatility of Matlab. Many examples are given that are likely to be encountered by an undergrad engineering student. Matrix methods might be the most useful, given the prevalence of linear systems that you often have to solve.

Matlab can also be used for symbolic algebra. Here the usage may be a bit more specialised. While this can be neat to use, chances are that most engineers will rarely have to use this ability, relative to number crunching.

The book only briefly covers Matlab's probability and statistics functions. It covers the bell curve [normal distribution]. But doesn't really go into anything advanced. Still, remember the book is only meant as an introduction.

Really good book!.......2006-02-18

The content is very effectively edited and presented. The material covers all one needs to know in order to solve various problems and exploit several powerful features of MATLAB. Very good introductory text.

Had to buy it for Class.......2005-10-26

It's one of the text-book requirments I had for my computing class. It works, but... buy the used ones if possbile.

Not very good for coding.......2005-10-20

Although this book has a lot of pertinent information to engineers, I bought it with the intent of learning the fundamentals of coding in MATLAB. I have a class in which our teacher assigns problems in MATLAB, but none of the students have experience in MATLAB. I bought the book to help me figure out how to write codes and it doesn't do that too well, but I could see how it might work well for someone familiar with MATLAB who needs to use it for an engineering problems.

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