Description
MATLAB® Essentials
A First Course for Engineers and Scientists
Author: Bober William
Language: English
Subjects for MATLAB® Essentials:
Keywords
Ordinary Differential Equations; Numerical Methods; MATLAB’s Ode45 Function; Curve Fitting; MATLAB’s Function Interp1; Simple Plot Commands; Mass Spring Dashpot System; Linear Plot Commands; MATLAB Program; Variable Names and Types; End Fprintf; Arithmetic Operators; Redlich Kwong’s Equation; Special values; MATLAB Function; Trigonometric Functions; Interp1 Function; Interactively Annotating Plots; Parallel RLC Circuit; Conditional Operators and Alternate Paths; Fzero Function; Bisection Method; Command Window; Matrices; Atmospheric Properties; System of Linear Equations; Anonymous Function; Gauss Elimination; Single Variable Function; Numerical Integration with the trapezoidal rule; Convective Heat Transfer Coefficient; Method of Least Squares; Finite Difference Method; Improper Integral; Numerical Integration and Simpson's Rule; Simpson’s Rule; Improper Integrals; Lowest Mse; MATLAB; Root Lies; Log Log Graphic Paper; VR Headset; Gauss Elimination Method; Cubic Spline
Publication date: 09-2018
· 15.6x23.4 cm · Hardback
Publication date: 10-2017
· 15.6x23.4 cm · Paperback
Description
/li>Contents
/li>Biography
/li>
All disciplines of science and engineering use numerical methods for complex problem analysis, due to the highly mathematical nature of the field. Analytical methods alone are unable to solve many complex problems engineering students and professionals confront. Introduction to MATLAB® Programming for Engineers and Scientists examines the basic elements of code writing, and describes MATLAB® methods for solving common engineering problems and applications across the range of engineering disciplines. The text uses a class-tested learning approach and accessible two-color page design to guide students from basic programming to the skills needed for future coursework and engineering practice.
Preface
Acknowledgments
Author
Chapter 1 Computer Programming with MATLAB® for Engineers
Chapter 2 MATLAB® Fundamentals
Chapter 3 Conditional Operators, Built-in Functions with Vector Arguments, MATLAB®’s Interp1 Function, and Some Scalar and Vector Operations
Chapter 4 Self-Written Functions and MATLAB®’s fminbnd Function
Chapter 5 Working with Characters and Strings
Chapter 6 Roots of Algebraic and Transcendental Equations
Chapter 7 System of Algebraic, Linear Equations
Chapter 8 Curve Fitting
Chapter 9 Numerical Integration
Chapter 10 Numerical Integration of Ordinary Differential Equations
Chapter 11 Boundary Value Problems of Ordinary Differential Equations
Appendix
Review Answers
Index
William Bober, PhD, received his BS in civil engineering from the City College of New York (CCNY), his MS in Engineering Science from Pratt Institute, and his PhD in Engineering Science and Aerospace Engineering from Purdue University. After receiving his PhD, he worked as an associate engineering physicist in the Applied Mechanics Department at the Cornell Aeronautical Laboratory in Buffalo, New York. After leaving Cornell Labs, he was employed as an associate professor in the Department of Mechanical Engineering at the Rochester Institute of Technology (RIT) for 12 years; since leaving RIT, he has been an associate professor at Florida Atlantic University (FAU) in the Department of Mechanical Engineering, and more recently, in the Department of Civil Engineering there. Dr. Bober has coauthored several textbooks on Analytical and Numerical Methods with MATLAB.
