Chapman Stephen J. MatLAB Programming for Engineers

Second Edition. — Thomson Learning, 2007. — 291 p. — (Bookware Companion Series).This book is an introduction to MatLAB as a technical programming language. It is designed to teach students how to write clean, efficient, and documented MatLAB programs. Author Stephen Chapman emphasizes top-down programming methodology and encourages students to think about the proper design of a program before beginning to code. The book is carefully structured to provide the students with special boxes that highlight good programming practices, boxes that detail common pitfalls in MatLAB programming, and numerous programming exercises and examples. Students are taught how to use MatLAB as a programming language and how to locate any desired function with MatLAB's extensive on-line help facilities.Engineering Problem Solving
Problem-Solving Process
ProblemSolving Example
Computing Software
Computing TerminologyMatLAB Technical Computing Environment
Workspace,Windows, and Help
ScalarMathematics
BasicMathematical Functions
Computational Limitations
Display Options
Accuracyand PrecisionFiles and File Management
FileManagement Definitions and Commands
Saving and RestoringMatlab Information
ScriptM-Files
Errors and Debugging
MatLAB Search Path, PathManagement, and StartupTrigonometry and ComplexNum bers
Trigonometry
Complex Numbers
Two-Dimensional PlottingArrays and Array Operations
Vector Arrays
Matrix Arrays
ArrayPlotting CapabilitiesMathematical Functions and Applications
Signal Representation, Processing, and Plotting
Poly nomials
Partial Fraction Expansion
Functions of Two Variables
User-Defined Functions
Plotting FunctionsDataAnalysis
Maximum andMinimum
Sums and Products
Statistical Analysis
Random Number GenerationSelection Programming
Relational and Logical Operators
Flow Control
Loops
Selection Statements in User-Defined Functions
Update Processes
Applied ProblemSolving: Speech Signal AnalysisVectors, Matrices and Linear Algebra
Vectors
Matrices
Solutions to Sy stems of Linear Equations
Applied ProblemSolving: RobotMotionCurve Fitting and Interpolation
MinimumMean-Square Error Curve Fitting
Applied Problem Solving: Hydraulic Engineering
Interpolation
Applied ProblemSolving: Human HearingIntegration and Differentiation
Numerical Integration
Numerical DifferentiationStrings, Time, Base Conversion and Bit Operations
Character Strings
Time Computations
Base Conversions and Bit OperationsSymbolic Processing
Symbolic Expressions and Algebra
Manipulating Trigonometric Expressions
Evaluating and Plotting Sy mbolic Expressions
Solving Algebraic and Transcendental Equations
Calculus
Linear Algebra