matlab2018b帮助文档(英文版)

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matlab2018b帮助文档(英文版),
Revision History December 1996 First printing For matlab 5 May 1997 Second printing For matlab 5.1 September 1998 Third printing For matlab 5.3 September 2000 Fourth printing Revised for matlab 6(Release 12) June 2001 Online only Revised for MaTLab 6. 1(Release 12.1) July 2002 Online only Revised for matlab 6.5 (Release 13) August 2002 Fifth printing Revised for matlab 6.5 June 2004 Sixth printing Revised for Matlab 7.0(Release 14) October 2004 Online only Revised for MATLab 7.0.1(Release 14SP1) March 2005 Online only Revised for MATLaB 7.0. 4(Release 14SP2) June 2005 Seventh printing Minor revision for MaTLAB 7.0. 4(Release 14SP2 September 2005 Online only Minor revision for matlab 7. 1(release 14SP3) March 2006 Online only Minor revision for maTlab 7.2(Release 2006a) September 2006 Eighth printing Minor revision for matlab 7. 3(Release 2006b) March 2007 Ninth printing Minor revision for MatLab 7. 4(Release 2007a) September 2007 Tenth printing Minor revision for Matlab 7.5(Release 2007b) March 2008 Eleventh printing Minor revision for matlab 7.6(release 2008a October 2008 Twelfth printing Minor revision for matLab 7. 7(Release 2008b March 2009 Thirteenth printing Minor revision for matLaB 7. 8(Release 2009a) September 2009 Fourteenth printing Minor revision for matlab 7. 9(Release 2009b) March 2010 Fifteenth printing Minor revision for maTLAB 7. 10(Release 2010a) September 2010 Sixteenth printing Revised for MATLaB 7. 11(R2010b) April 2011 Online only Revised for MAtlaB 7. 12(R2011a September 2011 Seventeenth printing Revised for MatlaB 7. 13(R2011b March 2012 Eighteenth printing Revised for Version 7. 14(R2012a) (Renamed from MATLAB Getting Started Guide September 2012 Nineteenth printing Revised for version 8.0(R2012b) March 2013 Twentieth printing Revised for Version 8. 1(R2013a) September 2013 Twenty-first printing Revised for Version 8.2(R2013b March 2014 Twenty-second printing Revised for Version 8. 3(R2014a October 2014 Twenty-third printing Revised for version 8. 4(R2014b March 2015 Twenty-fourth printing Revised for Version 8.5(R2015a) September 2015 Twenty-fifth printing Revised for Version 8.6(R2015b) March 2016 Twenty-sixth printing Revised for Version 9.0(R2016a) September 2016 Twenty-seventh printing Revised for Version 9. 1(R2016b) March 2017 Twenty-eighth printing Revised for Version 9.2(R2017a) September 2017 Twenty-ninth printing Revised for Version 9.3(R2017b March 2018 Thirtieth printing Revised for Version 9. 4(R2018a) September 2018 Thirty-first printing Revised for Version 9.5(R2018b) Contents Quick Start MATLAB Product Description 1-2 Key Features 1-2 Desktop Basics 1-4 Matrices and arrays Array Indexing 1-11 Workspace Variables 1-13 Text and characters 1-14 Calling Functions 1-15 2-D and 3-d plots 1-17 Programming and scripts 1-24 Sample Script 1-24 oops and Conditional Statements 1-25 Script locations 1-27 Help and Documentation 1-28 Language Fundamentals 2 Matrices and magic squares 2-2 About matrices 2-2 Entering matr g Ices 2-4 sum, transpose, and diag 2-5 The magic function 2-7 Generating matrices 2-8 Expressions 2-9 Variables 2-9 Numbers 2-10 Matrix Operato 2-11 Array Operators 2-11 Functions 2-13 Examples of Expressions 2-14 Entering Commands 2-16 The format function 2-16 Suppressing output 2-17 Entering Long statements 2-17 Command Line Editing 2-18 Indexing........... 2-19 Subscripts 2-19 The Colon Operator 2-20 Concatenation 2-21 Deleting Rows and Columns 2-22 Scalar expansion 2-23 Logical subscripting 2-23 The find function 2-24 Types of Array 2-26 Multidimensional arrays 2-26 Cell arrays 2-28 Characters and text 2-30 Structures 2-33 vi Contents Mathematics 3 Linear Algebra 3-2 Matrices in the matlab environment 3-2 Systems of Linear Equations 3-13 Factorizations 3-25 Powers and exponentials 3-32 Eigenvalues 3-36 Singular values 3-39 Operations on Nonlinear Functions 3-44 Function handles 3-44 Function functions 3-44 Multivariate data 3-48 Data analysis 3-49 Introduction 3-49 Preprocessing Data 3-49 Summarizing data 3-55 Visualizing data 3-59 Modeling dat 3-70 Graphics Basic Plotting Functions 4-2 Creating a plot 4-2 Plotting Multiple Data Sets in One Graph 44 Specifying line Styles and Colors 4-6 Plotting Lines and Markers 47 Graphing Imaginary and Complex data 49 Adding Plots to an Existing Graph 4-10 Figure Windows 4-12 Displaying Multiple Plots in One Figure 4-12 Controlling the Axes 4-13 Adding Axis Labels and Titles 4-15 Saving figures 4-16 Saving Workspace Data 4-17 Creating Mesh and Surface Plots 4-19 About mesh and surface plots 4-19 Visualizing Functions of Two variables 4-19 Display Images Image Data 4-25 Reading and writing images 4-27 Printing Graphics 音面 4-28 Overview of Printing 4-28 Printing from the File Menu 4-28 Exporting the Figure to a Graphics File 4-28 Using the Print Command 429 Working with Graphics Objects 4-30 Graphics objects 4-30 Setting object Properties 4-33 Functions for Working with Objects 4-35 Passing arguments 4-36 Finding the handles of Existing objects 4-37 Programming Control flow 5-2 Conditional Control- if, else, switch 5-2 Loop Control-for, while, continue, break 5-5 Program Termination- return 5-7 Vectorization 5-7 Preallocation 5-8 Scripts and Functions 音面 Overview 5-9 Scripts 5-10 Functions 5-11 Types of Functions 5-13 Global variables 5-15 Command vs Function Syntax 5-15 viii Contents 1 Quick Start MATLAB Product Description"on page 1-2 ·“ Desktop basics" on page1-4 Matrices and Arrays" on page 1-6 Array Indexing"on page 1-11 Workspace Variables"on page 1-13 Text and Characters"on page 1-14 Calling Functions"on page 1-15 2-D and 3-D Plots"on page 1-17 Programming and Scripts"on page 1-24 Help and Documentation"on page 1-28 Quick Start MATLAB Product Description The Language of Technical Computing Millions of engineers and scientists worldwide use matlab to analyze and design the systems and products transforming our world. MATLAB is in automobile active safety systems, interplanetary spacecraft, health monitoring devices, smart power grids, and LTE cellular networks. It is used for machine learning, signal processing, image processing, computer vision, communications, computational finance, control design, robotics and much more Math. Graphics Programming. The MatlaB platform is optimized for solving engineering and scientific problems. The matrix-based MATLAB language is the world's most natural way to express computational mathematics. Built-in graphics make it easy to visualize and gain insights from data. A vast library of pre-built toolboxes lets you get started right away with algorithms essential to your domain. The desktop environment invites experimentation, exploration, and discovery. These matlab tools and capabilities are all rigorously tested and designed to work together Scale. Integrate. Deploy. MAtLAB helps you take your ideas beyond the desktop You can run your analyses on larger data sets, and scale up to clusters and clouds. mATLAB code can be integrated with other languages, enabling you to deploy algorithms and applications within web enterprise, and production systems Key Features High-level language for scientific and engineering computing Desktop environment tuned for iterative exploration, design, and problem-solving Graphics for visualizing data and tools for creating custom plots Apps for curve fitting, data classification, signal analysis, control system tuning, and many other tasks Add-on toolboxes for a wide range of engineering and scientific applications Tools for building applications with custom user interfaces Interfaces to C/C++, Java,. NET, Python, SQL, Hadoop, and Microsoft@ Excel@ 1-2

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ynlchw very good, 是matlab 学习的文档
2019-09-25
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weixin_39727513 非常好的文档
2019-04-03
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