MATLAB® Essentials

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A01=William Bober
algebraic equation solving
Anonymous Function
Arithmetic Operators
Atmospheric Properties
Author_William Bober
Bisection Method
boundary value problems
Category=PBD
Command Window
Conditional Operators and Alternate Paths
Convective Heat Transfer Coefficient
Cubic Spline
Curve Fitting
curve fitting techniques
differential equations
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engineering numerical methods for students
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Finite Difference Method
Fzero Function
Gauss Elimination
Gauss Elimination Method
Improper Integral
Improper Integrals
Interactively Annotating Plots
Interp1 Function
Linear Plot Commands
Log Log Graphic Paper
Lowest Mse
Mass Spring Dashpot System
MATLAB
MATLAB Function
MATLAB Program
MATLAB's Function Interp1
MATLAB's Ode45 Function
MATLAB’s Function Interp1
MATLAB’s Ode45 Function
Matrices
Method of Least Squares
numerical analysis
Numerical Integration and Simpson's Rule
Numerical Integration with the trapezoidal rule
Numerical Methods
Ordinary Differential Equations
Parallel RLC Circuit
Redlich Kwong's Equation
Redlich Kwong’s Equation
Root Lies
Simple Plot Commands
Simpson's Rule
Simpson’s Rule
Single Variable Function
Special values
System of Linear Equations
Trigonometric Functions
Variable Names and Types
vector operations
VR Headset

Product details

  • ISBN 9781138563285
  • Weight: 680g
  • Dimensions: 156 x 234mm
  • Publication Date: 08 Oct 2018
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

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.

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