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E-raamat: MATLAB Numerical Methods with Chemical Engineering Applications

  • Formaat: 384 pages
  • Ilmumisaeg: 31-Jul-2013
  • Kirjastus: McGraw-Hill Professional
  • Keel: eng
  • ISBN-13: 9780071831291
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MATLAB Numerical Methods with Chemical Engineering ApplicationsSuurem pilt
  • Formaat: 384 pages
  • Ilmumisaeg: 31-Jul-2013
  • Kirjastus: McGraw-Hill Professional
  • Keel: eng
  • ISBN-13: 9780071831291
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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. A practical, professional guide to MATLABcomputational techniques and engineering applicationsMATLAB Numerical Methods with Chemical Engineering Applications shows you, step by step, how to use MATLAB® to model and simulate physical problems in the chemical engineering realm. Written for MATLAB 7.11, this hands-on resource contains concise explanations of essential MATLAB commands, as well as easy-to-follow instructions for using the programming features, graphical capabilities, and desktop interface.

Every step needed toward the final solution is algorithmically explained via snapshots of the MATLAB platform in parallel with the text. End-of-chapterproblems help you practice what you've learned. Master this powerful computational tool using this detailed, self-teaching guide.

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MATLAB basics Matrices MATLAB scripting language: M-file Image and image analysis Curve-fitting Numerical integration Solving differential equations A system of algebraic equations Statistics Chemical engineering applications MATLAB Graphical User Interface Design Environment (GUIDE)
Preface xi
1 MATLAB Basics
1(34)
1.1 Starting MATLAB
2(3)
1.2 Online Help
5(1)
1.3 Simple Arithmetic Operations
6(2)
1.4 MATLAB Built-in Library Functions
8(3)
1.5 Output Display in MATLAB
11(2)
1.6 Algebra
13(3)
1.7 Vectors
16(3)
1.7.1 The Row Vectors
16(2)
1.7.2 The Column Vectors
18(1)
1.7.3 The Colon Notation
18(1)
1.7.4 Transpose
19(1)
1.8 Plots and Graphs
19(13)
1.8.1 Non-ASCII Character Display
20(1)
1.8.2 Font-Related Attributes
20(2)
1.8.3 Plotted Curve (Line) Attributes
22(3)
1.8.4 Super-Positioning of Plots
25(2)
1.8.5 Subplotting
27(1)
1.8.6 Axes Control
28(2)
1.8.7 Graphics of Functions of Two Variables
30(2)
1.9 Interrupting Calculations
32(1)
1.10 Syntax Errors
32(1)
1.11 Suppressing Output
33(1)
1.12 Problems
33(2)
2 Living with Matrices
35(24)
2.1 Defining Matrices
36(2)
2.1.1 Referencing an Element in a Matrix
37(1)
2.2 Size of Matrices
38(1)
2.3 The Identity Matrix
38(1)
2.4 Diagonal Matrix
39(1)
2.5 Specialized Matrices
40(2)
2.6 The Colon Operator
42(3)
2.7 Manipulating Matrices
45(1)
2.8 Array (Element-by-Element) Operations on Matrices
46(1)
2.9 Matrix Multiplication
47(1)
2.9.1 Matrix Exponentiation
48(1)
2.10 String Arrays
48(5)
2.10.1 Assignment
48(1)
2.10.2 Input
49(1)
2.10.3 Concatenation of Strings
49(1)
2.10.4 Interconversion between Double and Char
50(1)
2.10.5 Strings Comparison
51(2)
2.11 Printing Output
53(2)
2.12 Problems
55(4)
3 MATLAB Scripting Language: M-File
59(20)
3.1 What Is an M-File?
60(1)
3.2 MATLAB Search Path, Path Management, and Startup
60(3)
3.3 Script M-File
63(4)
3.3.1 Effective Naming and Referencing of M-Files
66(1)
3.4 Function M-File
67(5)
3.5 Errors and Debugging
72(4)
3.5.1 Scientific Notation, Significant Figures, and Precision
72(1)
3.5.2 Errors Related to Floating-Point Arithmetic
73(1)
3.5.3 Numerical Stability
74(1)
3.5.4 Syntax Errors
75(1)
3.5.5 Run-Time Logic Errors
75(1)
3.5.6 Remedies to Minimize Errors
75(1)
3.6 Problems
76(3)
4 Image and Image Analysis
79(32)
4.1 Reading a Graphics Image
80(2)
4.2 Graphics Image Display
82(4)
4.3 MATLAB Image-Modifying Functions
86(3)
4.4 Image Saving
89(1)
4.5 Image Resizing
90(1)
4.6 Mathematical Manipulation of Image Arrays
90(2)
4.7 Image Acquisition/Quality Control
92(7)
4.8 Image Acquisition/Bacterial Colony Counting
99(6)
4.9 MATLAB Image Acquisition Tool (imaqtool)
105(2)
4.10 Problems
107(4)
5 Curve-Fitting
111(40)
5.1 (Two-Parameter) Linear Regression
112(4)
5.2 Importing Data
116(3)
5.3 Data Visualization
119(5)
5.4 Statistical Definitions
124(2)
5.4.1 Residuals
124(1)
5.4.2 Sum of Residuals
124(1)
5.4.3 Residual Sum of Squares
125(1)
5.4.4 Error Variance
125(1)
5.4.5 R2, or the Coefficient of Multiple Determination
125(1)
5.4.6 AdjR2 (R2a), Adjusted Coefficient of Multiple Determination
126(1)
5.5 The Model Goodness
126(3)
5.5.1 By-the-Naked-Eye Test (No Statistics)
126(1)
5.5.2 The Model Goodness (with Statistics)
127(2)
5.6 MATLAB's Curve Fitting Toolbox (cftool)
129(13)
5.6.1 Results of MATLAB's cftool
136(6)
5.7 MATLAB's Surface Fitting ToolBox (sftool)
142(5)
5.8 Problems
147(4)
6 Numerical Integration
151(18)
6.1 Trapezoid Rule
152(5)
6.1.1 Description (MATLAB's Trapz Help)
153(4)
6.2 Simpson's Rule
157(6)
6.3 Symbolic Integration
163(1)
6.4 Problems
164(5)
7 Solving Differential Equations
169(30)
7.1 Euler's Explicit Method
170(3)
7.2 Euler's Implicit Method
173(3)
7.3 Runge-Kutta (R-K) Method
176(7)
7.4 Solution of a Set of Ordinary Differential Equations
183(2)
7.5 Solution of a Higher-Order Ordinary Differential Equation
185(2)
7.6 ODE and System Solver Using MATLAB dsolve
187(3)
7.7 The Shooting Method for a Higher-Order Ordinary Differential Equation
190(3)
7.8 Problems
193(6)
8 A System of Algebraic Equations
199(20)
8.1 The Determinant of a Matrix and Its Inverse
200(3)
8.1.1 (2 × 2) Square Matrix
200(1)
8.1.2 (3 × 3) Square Matrix
201(2)
8.2 A System of (n × n) Linear Algebraic Equations
203(12)
8.2.1 A System of (n × n) Linearly Independent Equations (⇒A≠O)
203(4)
8.2.2 Gauss Elimination Method with Partial Pivoting
207(4)
8.2.3 Ill-Conditioning
211(4)
8.3 Problems
215(4)
9 Statistics
219(44)
9.1 Probability
220(3)
9.2 Typical Distribution Functions
223(16)
9.2.1 Uniform Distribution
223(1)
9.2.2 Normal Distribution
224(1)
9.2.3 Binomial Distribution
225(3)
9.2.4 Poisson Distribution
228(2)
9.2.5 Exponential Distribution Function
230(1)
9.2.6 Gamma Distribution Function
231(2)
9.2.7 Chi-Square Distribution
233(2)
9.2.8 Weibull Distribution
235(2)
9.2.9 Beta Distribution
237(2)
9.3 Maximum Likelihood Estimates (MLE)
239(2)
9.4 A Full-Fledged Example Showing Statistical Data Acquisition, Analysis, and Visualization by MATLAB
241(16)
9.4.1 Load In the Data Using the Dataset Array
241(2)
9.4.2 Data Management and Manipulation
243(1)
9.4.3 Show Plot by a Category
244(1)
9.4.4 Customize the Plot
245(2)
9.4.5 Hypothesis Testing
247(1)
9.4.6 Screening Data Using Hypothesis Testing
247(1)
9.4.7 Flagging or Labeling Data: Alive vs. Dead Sensor
248(3)
9.4.8 Analysis of Variance (ANOVA)
251(4)
9.4.9 Clustering (Showing Groups and Outliers)
255(2)
9.4.10 Curve-Fitting
257(1)
9.5 Problems
257(6)
10 Chemical Engineering Applications
263(68)
10.1 A Simple Electric Circuit
265(2)
10.2 Van der Waals' Equation of State
267(5)
10.3 A Simple Cooling Tank
272(2)
10.4 Isothermal Batch Reactor
274(5)
10.5 A Non-Isothermal CSTR with Water Cooling Jacket
279(5)
10.6 A Pressurized, Isothermal Gas-Phase CSTR
284(4)
10.7 One-Dimensional Heat Flow
288(12)
10.7.4 Solving 1D Heat Equation Using the MATLAB PDE Solver
295(5)
10.8 One-Dimensional Mass Flow
300(7)
10.8.1 Solving 1D Mass Equation Using the MATLAB PDE Solver
304(3)
10.9 Unconstrained 1D Function Minimization
307(3)
10.10 Unconstrained 2D Function Minimization
310(1)
10.11 Constrained 2D Function Minimization
311(4)
10.11.1 Inequality Constraint
311(2)
10.11.2 Equality Constraint
313(2)
10.12 Bubble-Point Calculation for Benzene-Toluene Mixture
315(2)
10.13 Dew-Point Calculation for Benzene-Toluene Mixture
317(2)
10.14 Problems
319(12)
11 MATLAB Graphical User Interface Design Environment (GUIDE)
331(26)
11.1 What Is the MATLAB Graphical User Interface Design Environment?
332(1)
11.2 Invoking the MATLAB GUIDE
332(1)
11.3 Simple Tasks with the MATLAB GUIDE
333(6)
11.4 Graphical User Interface for an Ideal Gas Volume Calculation
339(3)
11.5 Graphical User Interface for Evaluating Volume-Related Properties of a Pure Substance
342(3)
11.6 Saving Results to a File
345(1)
11.7 Deployment of MATLAB-Based Applications
346(8)
11.8 Problems
354(3)
Index 357
Kamal I.M. Al-Malah, Ph.D., is head of the department of chemical engineering at the University of Hail in Saudi Arabia. He holds B.S., M.S., and Ph.D. degrees in chemical/biochemical engineering. Dr. Al-Malah graduated from Oregon State University in 1993, and his area of specialty during his M.S. and Ph.D. programs dealt with protein interactions and behavior at interfaces in biological systems. He currently researches in the realm of chemical and biochemical engineering and food engineering. Additionally, Dr. Al-Malah is a software developer and has created Windows-based software for engineering applications and modeling of physical/biophysical systems.
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