Opis: Mastering Matlab 8 - Bruce R. Littlefield, Duane C. Hanselman

The Theory and Practice of Sustainable Engineering is appropriate to use in sustainable engineering classes for both majors and non-majors. This textbook was designed as the basis for a course in itself, but it can be used to provide modules in existing courses, or as a supplementary text in sustainable engineering, green engineering, industrial ecology, sustainability law and policy, and environmental courses. Sustainable engineering is learning how to engineer responsibly and professionally in the Anthropocene: the Age of the Human. This textbook sketches out the cultural, social, institutional, and environmental context within which engineering and, more broadly, technology systems are now situated. It provides frameworks to facilitate understanding, communication, and the solving of highly complex problems with significant technological dimensions - all in the name of generating more capable professionals competent in their chosen field, who are able to integrate other disciplines to address complex adaptive systems.Table of Contents 1 Getting Started 1 1.1 Introduction 1 1.2 Typographical Conventions 1 1.3 What's New in MATLAB 2 1.4 What's in Mastering MATLAB 2 2 Basic Features 4 2.1 Simple Math 4 2.2 The MATLAB Workspace 6 2.3 About Variables 7 2.4 Comments, Punctuation, and Aborting Execution 10 2.5 Complex Numbers 12 2.6 Floating-Point Arithmetic 14 2.7 Mathematical Functions 16 3 The MATLAB Desktop 22 3.1 MATLAB Windows 22 3.2 Managing the MATLAB Workspace 23 3.3 Memory Management 27 3.4 Number Display Formats 27 3.5 System Information 28 3.6 The MATLAB Search Path 30 4 Script M-files 31 4.1 Script M-file Use 31 4.2 Block Comments and Code Cells 35 4.3 Setting Execution Time 37 4.4 Startup and Finish 38 5 Arrays and Array Operations 40 5.1 Simple Arrays 40 5.2 Array Addressing or Indexing 41 5.3 Array Construction 43 5.4 Array Orientation 46 5.5 Scalar - Array Mathematics 50 5.6 Array - Array Mathematics 50 5.7 Standard Arrays 57 5.8 Array Manipulation 61 5.9 Array Sorting 76 5.10 Subarray Searching 79 5.11 Array-Manipulation Functions 86 5.12 Array Size 92 5.13 Arrays and Memory Utilization 95 6 Multidimensional Arrays 101 6.1 Array Construction 101 6.2 Array Mathematics and Manipulation 105 6.3 Array Size 116 7 Numeric Data Types 119 7.1 Integer Data Types 119 7.2 Floating-Point Data Types 125 7.3 Summary 127 8 Cell Arrays and Structures 129 8.1 Cell Array Creation 130 8.2 Cell Array Manipulation 133 8.3 Retrieving Cell Array Content 135 8.4 Comma-Separated Lists 139 8.5 Cell Functions 143 8.6 Cell Arrays of Strings 146 8.7 Structure Creation 148 8.8 Structure Manipulation 153 8.9 Retrieving Structure Content 155 8.10 Comma-Separated Lists (Again) 157 8.11 Structure Functions 160 8.12 Summary 164 9 Character Strings 165 9.1 String Construction 165 9.2 Numbers to Strings to Numbers 171 9.3 String Evaluation 178 9.4 String Functions 179 9.5 Cell Arrays of Strings 183 9.6 Searching Using Regular Expressions 187 10 Relational and Logical Operations 195 10.1 Relational Operators 195 10.2 Logical Operators 199 10.3 Operator Precedence 200 10.4 Relational and Logical Functions 201 10.5 NaNs and Empty Arrays 204 11 Control Flow 208 11.1 For Loops 208 11.2 While Loops 214 11.3 If-Else-End Constructions 215 11.4 Switch-Case Constructions 218 11.5 Try-Catch Blocks 220 12 Functions 223 12.1 M-file Function Construction Rules 224 12.2 Input and Output Arguments 229 12.3 Function Workspaces 232 12.4 Functions and the MATLAB Search Path 236 12.5 Creating Your Own Toolbox 239 12.6 Command - Function Duality 240 12.7 Function Handles and Anonymous Functions 247 12.8 Nested Functions 247 12.9 Debugging M-files 251 12.10 Syntax Checking and File Dependencies 253 12.11 Profiling M-files 254 13 File and Directory Management 256 13.1 Native Data Files 256 13.2 Data Import and Export 259 13.3 Low-Level File I/O 263 13.4 Directory Management 265 13.5 File Archives and Compression 269 13.6 Internet File Operations 270 14 Set, Bit, and Base Functions 273 14.1 Set Functions 273 14.2 Bit Functions 278 14.3 Base Conversions 279 15 Time Computations 281 15.1 Current Date and Time 281 15.2 Date Format Conversions 282 15.3 Date Functions 288 15.4 Timing Functions 290 15.5 Plot Labels 291 16 Matrix Algebra 294 16.1 Sets of Linear Equations 294 16.2 Matrix Functions 299 16.3 Special Matrices 301 16.4 Sparse Matrices 302 16.5 Sparse Matrix Functions 304 17 Data Analysis 307 17.1 Basic Statistical Analysis 307 17.2 Basic Data Analysis 321 17.3 Data Analysis and Statistical Functions 327 17.4 Time Series Analysis 328 18 Data Interpolation 332 18.1 One-Dimensional Interpolation 332 18.2 Two-Dimensional Interpolation 337 18.3 Triangulation and Scattered Data 341 18.4 Summary 349 19 Polynomials 351 19.1 Roots 351 19.2 Multiplication 352 19.3 Addition 352 19.4 Division 354 19.5 Derivatives and Integrals 355 19.6 Evaluation 356 19.7 Rational Polynomials 356 19.8 Curve Fitting 359 19.9 Polynomial Functions 362 20 Cubic Splines 363 20.1 Basic Features 363 20.2 Piecewise Polynomials 364 20.3 Cubic Hermite Polynomials 367 20.4 Integration 369 20.5 Differentiation 372 20.6 Spline Interpolation on a Plane 373 21 Fourier Analysis 377 21.1 Discrete Fourier Transform 377 21.2 Fourier Series 381 22 Optimization 386 22.1 Zero Finding 386 22.2 Minimization in One Dimension 391 22.3 Minimization in Higher Dimensions 393 22.4 Practical Issues 396 23 Integration and Differentiation 398 23.1 Integration 398 23.2 Differentiation 404 24 Differential Equations 411 24.1 IVP Format 411 24.2 ODE Suite Solvers 412 24.3 Basic Use 413 24.4 Setting Options 417 24.5 BVPs, PDEs, and DDEs 425 25 Two-Dimensional Graphics 426 25.1 The plot Function 426 25.2 Linestyles, Markers, and Colors 428 25.3 Plot Grids, Axes Box, and Labels 430 25.4 Customizing Plot Axes 432 25.5 Multiple Plots 435 25.6 Multiple Figures 435 25.7 Subplots 437 25.8 Interactive Plotting Tools 438 25.9 Screen Updates 440 25.10 Specialized 2-D Plots 441 25.11 Easy Plotting 449 25.12 Text Formatting 451 25.13 Summary 453 26 Three-Dimensional Graphics 456 26.1 Line Plots 456 26.2 Scalar Functions of Two Variables 458 26.3 Mesh Plots 462 26.4 Surface Plots 465 26.5 Mesh and Surface Plots of Irregular Data 471 26.6 Changing Viewpoints 473 26.7 Camera Control 475 26.8 Contour Plots 476 26.9 Specialized 3-D Plots 478 26.10 Volume Visualization 482 26.11 Easy Plotting 489 26.12 Summary 491 27 Using Color and Light 495 27.1 Understanding Colormaps 495 27.2 Using Colormaps 497 27.3 Displaying Colormaps 498 27.4 Creating and Altering Colormaps 500 27.5 Using Color to Describe a Fourth Dimension 502 27.6 Transparency 505 27.7 Lighting Models 507 27.8 Summary 511 28 Images, Movies, and Sound 513 28.1 Images 513 28.2 Image Formats 515 28.3 Image Files 516 28.4 Movies 518 28.5 Movie Files 520 28.6 Sound 524 28.7 Summary 525 29 Printing and Exporting Graphics 527 29.1 Printing and Exporting Using Menus 528 29.2 Command Line Printing and Exporting 529 29.3 Printers and Export File Formats 530 29.4 PostScript Support 532 29.5 Choosing a Renderer 533 29.6 Handle Graphics Properties 534 29.7 Setting Defaults 536 29.8 Publishing 537 29.9 Summary 538 30 Handle Graphics 539 30.1 Objects 539 30.2 Object Handles 541 30.3 Object Properties 541 30.4 Get and Set 542 30.5 Finding Objects 550 30.6 Selecting Objects with the Mouse 552 30.7 Position and Units 553 30.8 Default Properties 556 30.9 Common Properties 559 30.10 Plot Objects 561 30.11 Group Objects 562 30.12 Annotation Axes 564 30.13 Linking Objects 565 30.14 New Plots 566 30.15 Callbacks 567 30.16 M-file Examples 568 30.17 Summary 575 31 MATLAB Classes and Object-Oriented Programming 579 31.1 Overloading 581 31.2 Class Creation 587 31.3 Subscripts 602 31.4 Converter Functions 613 31.5 Precedence, Inheritance, and Aggregation 614 31.6 Handle Classes 616 32 Examples, Examples, Examples 617 32.1 Vectorization 617 32.2 JIT/Acceleration 620 32.3 The Birthday Problem 620 32.4 Up - Down Sequence 625 32.5 Alternating Sequence Matrix 631 32.6 Vandermonde Matrix 636 32.7 Repeated Value Creation and Counting 639 32.8 Differential Sums 649 32.9 Structure Manipulation 657 32.10 Inverse Interpolation 660 32.11 Polynomial Curve Fitting 668 32.12 Nonlinear Curve Fitting 676 32.13 Circle Fitting 685 32.14 Laminar Fluid Flow in a Circular Pipe 690 32.15 Projectile Motion 696 32.16 Bode Plots 707 32.17 Inverse Laplace Transform 718 32.18 Picture-in-a-Picture Zoom 724 Appendix A MATLAB Release Information 731 Appendix B MATLAB Function Information 789 Index 835

Szczegóły: Mastering Matlab 8 - Bruce R. Littlefield, Duane C. Hanselman

Tytuł: Mastering Matlab 8
Autor: Bruce R. Littlefield, Duane C. Hanselman
Producent: Pearson
ISBN: 9780273752134
Rok produkcji: 2012
Ilość stron: 864
Oprawa: Miękka
Waga: 1.03 kg

Recenzje: Mastering Matlab 8 - Bruce R. Littlefield, Duane C. Hanselman