did-you-know? rent-now

Amazon no longer offers textbook rentals. We do!

did-you-know? rent-now

Amazon no longer offers textbook rentals. We do!

We're the #1 textbook rental company. Let us show you why.

9780133976885

Engineering Problem Solving with MATLAB

by
  • ISBN13:

    9780133976885

  • ISBN10:

    0133976882

  • Edition: 2nd
  • Format: Paperback
  • Copyright: 1996-08-29
  • Publisher: Pearson
  • View Upgraded Edition

Note: Supplemental materials are not guaranteed with Rental or Used book purchases.

Purchase Benefits

  • Free Shipping Icon Free Shipping On Orders Over $35!
    Your order must be $35 or more to qualify for free economy shipping. Bulk sales, PO's, Marketplace items, eBooks and apparel do not qualify for this offer.
  • eCampus.com Logo Get Rewarded for Ordering Your Textbooks! Enroll Now
List Price: $173.32 Save up to $48.53
  • Buy Used
    $124.79
    Add to Cart Free Shipping Icon Free Shipping

    USUALLY SHIPS IN 24-48 HOURS

Supplemental Materials

What is included with this book?

Summary

Best-selling author D.M. Etter introduces readers to general problem-solving and design techniques through a five step process which uses MATLAB, the popular engineering software, for analysis and graphical display. The book features chapters organized around specific engineering applications drawn from a variety of engineering disciplines. This book is the cornerstone engineering tutorial in the MATLAB Curriculum Series.

Table of Contents

Part I Fundamental Engineering Computing 1(146)
1 Engineering Problem Solving Grand Challenge: Weather Prediction
2(30)
1.1 Engineering in the 21st Century
4(7)
Recent Engineering Achievements
4(4)
Grand Challenges for the Future
8(2)
Changing Engineering Environment
10(1)
1.2 Computing Systems
11(10)
Computer Hardware
11(3)
Computer Software
14(1)
Operating Systems
14(1)
Software Tools
15(1)
Computer Languages
16(2)
Executing a Computer Program
18(1)
Executing a MATLAB Program
19(1)
Software Life Cycle
19(1)
The Internet, Email, and the World Wide Web
20(1)
1.3 An Engineering Problem-Solving Methodology
21(4)
1.4 Data Collection for Weather Prediction
25(3)
Chapter Summary, Key Terms, Problems, Suggested Readings
28(4)
2 MATLAB Environment Grand Challenge: Vehicle Performance
32(36)
2.1 Characteristics of the MATLAB Environment
34(1)
Student Edition Version 4
34(1)
MATLAB Windows
34(1)
2.2 Scalars, Vectors, and Matrices
35(14)
Initialization
37(1)
Explicit Lists
37(2)
Colon Operator
39(2)
Special Values and Special Matrices
41(2)
User Input
43(1)
Output Options
43(1)
Display Format
43(1)
Printing Text and Values
44(1)
Formatted Output
45(1)
Simple xy Plots
46(1)
Data Files
47(2)
2.3 Scalar and Array Operations
49(6)
Scalar Operations
49(1)
Array Operations
50(2)
Precedence of Arithmetic Operations
52(2)
Computational Limitations
54(1)
2.4 Additional Plotting Capabilities
55(4)
Linear and Logarithmic Plots
55(2)
Multiple Plots
57(1)
Line and Mark Style
58(1)
Axes Scaling
58(1)
Subplots
59(1)
2.5 Problem Solving Applied: Advanced Turborpop Engine
59(4)
Chapter Summary, Key Terms, MATLAB Summary, Style Notes, Debugging Notes, Problems
63(5)
3 MATLAB Functions Grand Challenge: Speech Recognition
68(56)
3.1 Mathematical Functions
70(21)
Common Math Functions
71(1)
Trigonometric and Hyperbolic Functions
72(3)
Complex Number Functions
75(1)
Rectangular and Polar Coordinates
75(2)
Euler's Formula
77(1)
Polar Plots
78(1)
Polynomial Functions
78(2)
Polynomial Evaluation
80(1)
Polynomial Operations
80(3)
Roots of Polynomials
83(3)
Functions of Two Variables
86(1)
Function Evaluation
86(2)
3-D Plots
88(2)
Contour Plots
90(1)
3.2 Data Analysis Functions
91(5)
Simple Analysis
91(1)
Maximum and Minimum
92(1)
Sums and Products
92(1)
Mean and Median
92(1)
Sorting Values
93(1)
Variance and Standard Deviation
94(1)
Histograms
95(1)
3.3 Selection Statements and Selection Functions
96(7)
Simple if Statement
96(1)
Relational and Logical Operators
97(3)
Nested if Statements
100(1)
else and elseif Clauses
100(1)
Logical Functions
101(2)
3.4 Problem Solving Applied: Speech Signal Analysis
103(3)
3.5 User-Written Functions
106(2)
3.6 Random Number Generating Functions
108(4)
Uniform Random Numbers
108(2)
Gaussian Random Numbers
110(2)
3.7 Matrix Manipulation Functions
112(4)
Rotation
112(1)
Flipping
112(1)
Reshaping
112(1)
Extraction
113(3)
3.8 Loops
116(2)
for Loop
116(1)
while Loop
117(1)
Chapter Summary, Key Terms, MATLAB Summary, Style Notes, Debugging Notes, Problems
118(6)
4 Linear Algebra and Matrices Grand Challenge: Mapping the Human Genome
124(23)
4.1 Matrix Operations
126(4)
Transpose
126(1)
Dot Product
126(1)
Matrix Multiplication
127(2)
Matrix Powers
129(1)
Matrix Polynomials
129(1)
4.2 Problem Solving Applied: Protein Molecular Weights
130(4)
4.3 Matrix Functions
134(8)
Matrix Inverse and Rank
134(1)
Determinants
135(1)
Eigenvectors and Eigenvalues
136(4)
Decompositions
140(1)
Triangular Factorizations
140(1)
QR Factorization
141(1)
Singular Value Decomposition
142(1)
Chapter Summary, Key Terms, MATLAB Summary, Style Notes, Debugging Notes, Problems
142(5)
Part II Numerical Techniques 147(76)
5 Solutions to Systems of Linear Equations Grand Challenge: Vehicle Performance
148(16)
5.1 Graphical Interpretation
150(1)
5.2 Solutions Using Matrix Operations
151(6)
Matrix Division
155(1)
Matrix Inverse
156(1)
5.3 Problem Solving Applied: Electrical Circuit Analysis
157(3)
Chapter Summary, Key Terms, MATLAB Summary, Style Notes, Debugging Notes, Problems
160(4)
6 Interpolation and Curve Fitting Grand Challenge: Vehicle Performance
164(20)
6.1 Interpolation
166(4)
Linear Interpolation
166(2)
Cubic-Spline Interpolation
168(2)
6.2 Problem Solving Applied: Robot Arm Manipulators
170(4)
6.3 Least-Squares Curve Fitting
174(6)
Linear Regression
175(2)
Polynomial Regression
177(1)
polyfit Function
177(3)
Chapter Summary, Key Terms, MATLAB Summary, Style Notes, Debugging Notes, Problems
180(4)
7 Numerical Integration and Differentiation Grand Challenge: Enhanced Oil and Gas Recovery
184(18)
7.1 Numerical Integration
186(3)
Trapezoidal Rule and Simpson's Rule
186(1)
Quadrature Functions
187(2)
7.2 Problem Solving Applied: Pipeline Flow Analysis
189(4)
7.3 Numerical Differentiation
193(5)
Difference Expressions
194(1)
diff Function
195(3)
Chapter Summary, Key Terms, MATLAB Summary, Style Notes, Debugging Notes, Problems
198(4)
8 Ordinary Differential Equations Grand Challenge: Vehicle Performance
202(21)
8.1 First-Order Ordinary Differential Equations
204(1)
8.2 Runge-Kutta Methods
205(7)
First-Order Approximation (Euler's Method)
205(2)
ode Fundations
207(5)
8.3 Problem Solving Applied: Acceleration of UDF-Powered Aircraft
212(3)
8.4 Higher-Order Differential Equations
215(2)
Chapter Summary, Key Terms, MATLAB Summary, Style Notes, Debugging Notes, Problems
217(6)
Part III Special Topics 223(88)
9 Symbolic Mathematics Grand Challenge: Weather Prediction
224(16)
9.1 Symbolic Algebra
226(3)
Symbolic Expressions
226(1)
Simplification of Mathematical Expressions
227(1)
Operations on Symbolic Expressions
228(1)
9.2 Equation Solving
229(3)
Solutions to Equations
229(2)
Solutions to Differential Equations
231(1)
9.3 Differentiation and Integration
232(2)
Differentiation
232(1)
Integration
233(1)
9.4 Problem Solving Applied: Weather Balloons
234(3)
Chapter Summary, Key Terms, MATLAB Summary, Style Notes, Debugging Notes, Problems
237(3)
10 Signal Processing Grand Challenge: Computerized Speech Understanding
240(38)
10.1 Frequency Domain Analysis
242(6)
10.2 Filter Analysis
248(12)
Analog Transfer Functions
250(2)
Digital Transfer Functions
252(4)
Partial Fraction Expansions
256(4)
10.3 Digital Filter Implementation
260(3)
10.4 Digital Filter Design
263(7)
IIR Filter Design Using Analog Prototypes
263(4)
Direct IIR Filter Design
267(1)
Direct FIR Filter Design
268(2)
10.5 Problem Solving Applied: Channel Separation Filters
270(2)
Chapter Summary, Key Terms, MATLAB Summary, Style Notes, Debugging Notes, Problems
272(6)
11 Control Systems Grand Challenge: Vehicle Performance
278(33)
11.1 System Modeling
280(4)
Transfer Functions
281(1)
State-Space Models
282(1)
Discrete-Time Systems
283(1)
11.2 Model Conversion
284(8)
11.3 Design and Analysis Functions
292(13)
Bode Plots
292(5)
Nyquist Plots
297(2)
Root-Locus Plots
299(3)
Step Response
302(3)
11.4 Problem Solving Applied: Laser Beam Steering Mirror Control
305(2)
Chapter Summary, Key Terms, MATLAB Summary, Style Notes, Debugging Notes, Problems
307(4)
Appendix A MATLAB Function Summary 311(4)
Complete Solutions to Practice! Problems 315(11)
Index 326

Supplemental Materials

What is included with this book?

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.

Rewards Program