Matlab introduction

MATLAB is a formidable mathematics analysis package. We provide an introduction to the most basic commands that are needed for our use. We make no attempts to be comprehensive. We do not want a big, intimidating manual. The beauty of MATLAB is that we only need to know a tiny bit to get going and be productive. Once we get started, we can pick up new skills quickly with MATLAB s excellent on-line help features. We can only learn with hands-on work these notes are written as a "walk-through" tutorial—you are expected to enter the commands into MATLAB as you read along. 

To begin, we can explore MATLAB using its demonstrations. If you are new to MATLAB, it is highly recommended that you take a look at the introduction. 

Simulink is a user-friendly simulation tool with an icon-driven graphics interface that runs within MATLAB. The introduction here is more conceptual than functional for two reasons. One, the Simulink interface design is very intuitive and you may not need help at all ... 

Second, to provide a thorough introduction, we need to reproduce many of the graphics windows. To conserve paper (and trees), we have moved these print-intensive and detailed explanations to our Web Support. Furthermore, the HTML-based Help Desk of MATLAB is extremely thorough and should serve as our main guide for further applications. 

The few short programs presented in this chapter may also serve as a very rudimentary introduction into Matlab. Readers not familiar with Matlab but otherwise proficient in an alternative language will be surprised at the almost complete lack of for. .. end loops. We also introduce matrix operations in Excel, assuming that the other, more common aspects of Excel are known to the reader. While there is a reasonable collection of matrix operations available in Excel, their usage is rather cumbersome. We believe that many readers will appreciate the short introduction into this aspect of Excel. 

In this chapter, we present the basic matrix mathematics that is required for understanding the methods introduced later in the book. In line with the philosophy that all concepts are immediately implemented in Matlab and/or Excel, this will be done here as well. This way, Chapter 2 not only revises the basic mathematics, it also serves as a very short introduction to the Matlab and Excel languages. It is not meant to be a manual on Matlab or Excel the reader will need to refer to more specialised texts and proper manuals. Several more advanced features of both languages are not covered at this introductory stage but will be explained as they emerge in later chapters. 

Numerical integration of sets of differential equations is a well developed field of numerical analysis, e.g. most engineering problems involve differential equations. Here, we only give a very brief introduction to numerical integration. We start with the Euler method, proceed to the much more useful Runge-Kutta algorithm and finally demonstrate the use of the routines that are part of the Matlab package. 

Rudra Pratap. Getting Started with MATLAB 7 A Quick Introduction for Scientists and Engineers (The Oxford Series in Electrical and Computer Engineering). Oxford University Press 2005... 

In Chapter 2, we give a brief introduction to matrix algebra and its implementation in Matlab and Excel. 

In order to solve chemical/biological problems of differing levels we rely throughout on well tested numerical procedures for which we include MATLAB codes and test files. Moreover, a large part of this book is dedicated to explain the workings of our algorithms on an intuitive level and thereby we give a valuable introduction to the world of scientific computation and numerical analysis. 

Figures and plots can be generated easily via MATLAB. These can be transformed into and stored in many formats, such as MATLAB s generic, , .fig, or as Jpeg, postscript, RAW, TIFF, etc. files as desired. Simply look at the dialogue box that pops up from the save icon of a MATLAB figure. For a quick introduction to MATLAB graphics, type demo matlab graphics and a Help window will open, that lets you choose several clickable graphics demonstrations. We defer further explanations to our relevant graphics codes in later chapters.

The MATLAB codes printed in this book give our readers a varied and solid introduction into the above and many other built-in MATLAB functions, as well as into their functionality. 

W.J. Palm, Introduction to MATLAB 6 for Engineers, McGraw-Hill, 2001 (ISBN 0-07-234983-2)... 

Brandimarte Numerical Methods in Finance and Economics A MATLAB-Based Introduction, Second Edition... 

Program examples POLYMATH, MatLab can be loaded from the CD-ROM (see tbe Introduction)... 

S. R. Otto and J. P. Denier, An Introduction to Programming and Numerical Methods in MATLAB. Springer, New York, 2005. 

Program examples Polymath. MATLAB can be loaded Trom the CD-ROM (see the Introduction I. 

After starting an Octave session, tyP help -i introduction at the Octave prompt or demo at the Matlab prompt for information on how to enter matrices and perform matrix multiplication, Consider... 

P. Linz and R. L. C. Wang, Exploring Numerical Methods An Introduction to Scientific Computing Using MATLAB, Jones and Bartlett Publishers, Sudbury, MA (2003). 

The main purpose of multivariate methods would be information extraction. The simplest form of information extraction and data reduction is the PCA technique. The history of PCA can be traced to an article by Pearson (1901). It is a statistical method that can be performed in a wide variety of mathematical, statistical, or dedicated computer software such as Matlab (The MathWorks, Inc.), SPSS (SPSS, Inc.), or The Unscrambler (Camo, Inc.). We will here give a short nonmathematical introduction to this method, and we refer the reader to one of the many available text books on this topic for a more in-depth, formal presentation. 

For a broader comparison and user experiences with Mathcad and other mathematical software like MatLab, Mathematica, and so on, as well as introductions to use Mathcad, consult the Internet. A free 30-day-trial of Mathcad is available from wuw.ptc.com. For readers who do not have access to Mathcad, the files will also be made available in other formats (XPS, MathML, etc.). 

Introduction to Linear Optimization and Extensions with MATLAB ... 

Cooper, J.M., Introduction to Partial Differential Equations with MATLAB, Bir-khauser, Boston, MA, 1998. 

Using Matlab simulates and develops a tuning parameter, model validity in case study This paper is arranged as the following part 2, History review of PID controller tuning techniques. In part 3 there is a brief introduction to the PROCEL pilot plant, on e model is presented in part 4,in part 5,a discussion. ... 

Dukkipati V.Ravi, MATLAB, An Introduction with Application, (New Delhi New Age Int India 2010), 17-19... 

Polymath and MATLAB program examples can be loaded from the DVD-ROM (see ihe Introduction). 

Palm, W. J., Introduction to MATLAB for Engineers, 3rd ed., McGraw-Hill, New York, 2010. 

The book is divided into five parts. Part I provides an introduction to process control and an in-depth discussion of process modeling. Control system design and analysis increasingly rely on the availabihty of a process model. Consequently, the third edition includes additional material on process modeling based on first principles, such as conservation equations and thermodynamics. Exercises have been added to several chapters based on MATLAB simulations of two physical models, a distillation column and a furnace. These simulations are based on the book. Process Control Modules, by Frank Doyle, Ed Gatzke, and Bob Parker. Both the book and the MATLAB simulations are available on the book Web site (www.wiley.com/college/seborg). National Instruments has provided multimedia modules for a number of examples in the book based on their Lab VIEW software. 

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