(EBOOK PDF)Essential Matlab for Engineers and Scientists 3rd Edition by Brian Hahn ,Daniel Valentine ISBN 0750684178 978-0750684170 full chapters

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Product details:

ISBN 10: 0750684178
ISBN 13: 978-0750684170
Author:  Brian D. Hahn ,Daniel T. Valentine

The essential guide to MATLAB as a problem solving tool

This text presents MATLAB both as a mathematical tool and a programming language, giving a concise and easy to master introduction to its potential and power. Stressing the importance of a structured approach to problem solving, the text gives a step-by-step method for program design and algorithm development. The fundamentals of MATLAB are illustrated throughout with many examples from a wide range of familiar scientific and engineering areas, as well as from everyday life.

Features:

• Numerous simple exercises provide hands-on learning of MATLAB’s functions
• A new chapter on dynamical systems shows how a structured approach is used to solve more complex problems.
• Common errors and pitfalls highlighted
• Concise introduction to useful topics for solving problems in later engineering and science courses: vectors as arrays, arrays of characters, GUIs, advanced graphics, simulation and numerical methods
• Text and graphics in four colour
• Extensive instructor support

Essential MATLAB for Engineers and Scientists is an ideal textbook for a first course on MATLAB or an engineering problem solving course using MATLAB, as well as a self-learning tutorial for students and professionals expected to learn and apply MATLAB for themselves.

Additional material is available for lecturers only at http://textbooks.elsevier.com. This website provides lecturers with:

• A series of Powerpoint presentations to assist lecture preparation
• Extra quiz questions and problems
• Additional topic material
• M-files for the exercises and examples in the text (also available to students at the book’s companion site)
• Solutions to exercises
• An interview with the revising author, Daniel Valentine

· Numerous simple exercises give hands-on learning
· A chapter on algorithm development and program design
· Common errors and pitfalls highlighted
· Concise introduction to useful topics for solving problems in later engineering and science courses: vectors as arrays, arrays of characters, GUIs, advanced graphics, simulation and numerical methods
· A new chapter on dynamical systems shows how a structured approach is used to solve more complex problems.
· Text and graphics in four colour
· Extensive teacher support on http://textbooks.elsevier.com: solutions manual, extra problems, multiple choice questions, PowerPoint slides
· Companion website for students providing M-files used within the book

Table of contents:

PART 1 ESSENTIALS

1. Introduction

1.1 Using MATLAB

1.2 The MATLAB desktop

1.3 Sample program

2. MATLAB Fundamentals

2.1 Variables and the workspace

2.2 Arrays: vectors and matrices

2.3 Vertical motion under gravity

2.4 Operators, expressions and statements

2.5 Output

2.6 Repeating with for

2.7 Decisions

2.8 Complex numbers

2.9 More on input and output

2.10 Odds ‘n ends

2.11 Programming style

3. Program Design and Algorithm Development

3.1 Computer program design process

3.2 Other examples of structure plans

3.3 Structured programming with functions

4. MATLAB Functions & Data

4.1 Some common functions

4.2 Importing and exporting data

5. Logical Vectors

5.1 Examples

5.2 Logical operators

5.3 Subscripting with logical vectors

5.4 Logical functions

5.5 Logical vectors instead of elseif ladders

6. Matrices of Numbers & Arrays of Strings

6.1 Matrices

6.2 Matrix operations

6.3 Other matrix functions

6.4 Strings

6.5 Two-dimensional strings

6.6 eval and text macros

7. Introduction to Graphics

7.1 Basic 2-D graphs

7.2 3-D plots

8. Loops

8.1 Determinate repetition with for

8.2 Indeterminate repetition with while

9. Errors and Pitfalls

9.1 Syntax errors

9.2 Pitfalls and Surprises

9.3 Errors in logic

9.4 Rounding error

9.5 Trapping and generating errors

10. Function M-Files

10.1 Some examples

10.2 Basic rules

10.3 Function handles

10.4 Command/function duality

10.5 Function name resolution

10.6 Debugging M-files

10.7 Recursion

11. Vectors as Arrays & *Advanced Data Structures

11.1 Update processes

11.2 Frequencies, bar charts and histograms

11.3 *Sorting

11.4 *Structures

11.5 *Cell arrays

11.6 *Classes and objects

12. More Graphics

12.1 Handle Graphics

12.2 Editing plots

12.3 Animation

12.4 Colour etc

12.5 Lighting and camera

12.6 Saving, printing and exporting graphs

13. Graphical User Interfaces (GUIs)

13.1 Basic structure of a GUI

13.2 A first example: getting the time

13.3 Newton again

13.4 Axes on a GUI

13.5 Adding colour to a button

Part 2 APPLICATIONS

14. Dynamical Systems

14.1 Cantilever beam

14.2 Electric current

14.3 Free fall

14.4 Projectile with friction

15. Simulation

15.1 Random number generation

15.2 Spinning coins

15.3 Rollig dice

15.4 Bacteria division

15.5 A random walk

15.6 Traffic flow

15.7 Normal (Gaussian) random numbers

16. More Matrices

16.1 Leslie matrices: population growth

16.2 Markov processes

16.3 Linear equations

16.4 Sparse matrices

17. Introduction to Numerical Methods

17.1 Equations

17.2 Integration

17.3 Numerical differentiation

17.4 First-order differential equations

17.5 Linear ordinary differential equations (LODEs)

17.6 Runge-Kutta methods

17.7 A partial differential equation

17.8 Other numerical methods

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