Introduction to MATLAB for Engineers and Scientists
Published on 24. January 1996
Book
Paperback/Softback
145 pages
978-0-13-519703-5 (ISBN)
Description
Primarily designed for the Introduction to Engineering course offered in many Engineering programs, this modular book is appropriate for any course where a brief introduction to MATLAB will be covered.
Best-selling author Delores Etter introduces engineering students to general problem-solving and design techniques through a five-step process that uses MATLAB. Each chapter is organized around a specific application - drawn from a variety of engineering disciplines - that illustrates a particular MATLAB capability. The text is designed as a modular introduction to the basics of MATLAB for use in any class requiring the use of MATLAB.
Best-selling author Delores Etter introduces engineering students to general problem-solving and design techniques through a five-step process that uses MATLAB. Each chapter is organized around a specific application - drawn from a variety of engineering disciplines - that illustrates a particular MATLAB capability. The text is designed as a modular introduction to the basics of MATLAB for use in any class requiring the use of MATLAB.
More details
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 230 mm
Width: 190 mm
Thickness: 7 mm
Weight
277 gr
ISBN-13
978-0-13-519703-5 (9780135197035)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
1. An Introduction to Engineering Problem Solving.
Grand challenges. Computing systems. An engineering problem-solving methodology.
2. MATLAB Environment.
Characteristics of the MATLAB environment. Scalars, vectors, and matrices. Scalar and array operations. Special values and special matrices. Additional plotting capabilities. Problem solving applied: Velocity computations.
3. MATLAB Functions.
Math functions and trigonometric functions. Data analysis functions. Random numbers. Problem solving applied: Flight simulator. Selection statements and selection functions. User-written functions.
4. Matrix Computations.
Matrix operations and functions. Solutions to systems of linear equations.
5. Symbolic Mathematics.
Symbolic algebra. Equation solving. Differentiation and integration.
6. Numerical Techniques.
Interpolation. Curve fitting. Numerical integration. Numerical differentiation.
Complete Solutions to Practice! Problems.
Index.
Grand challenges. Computing systems. An engineering problem-solving methodology.
2. MATLAB Environment.
Characteristics of the MATLAB environment. Scalars, vectors, and matrices. Scalar and array operations. Special values and special matrices. Additional plotting capabilities. Problem solving applied: Velocity computations.
3. MATLAB Functions.
Math functions and trigonometric functions. Data analysis functions. Random numbers. Problem solving applied: Flight simulator. Selection statements and selection functions. User-written functions.
4. Matrix Computations.
Matrix operations and functions. Solutions to systems of linear equations.
5. Symbolic Mathematics.
Symbolic algebra. Equation solving. Differentiation and integration.
6. Numerical Techniques.
Interpolation. Curve fitting. Numerical integration. Numerical differentiation.
Complete Solutions to Practice! Problems.
Index.