MATLAB to C with MATLAB Coder培訓(xùn)
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上課時間和地點 |
上課地點:【上海】:同濟大學(xué)(滬西)/新城金郡商務(wù)樓(11號線白銀路站) 【深圳分部】:電影大廈(地鐵一號線大劇院站)/深圳大學(xué)成教院 【北京分部】:北京中山/福鑫大樓 【南京分部】:金港大廈(和燕路) 【武漢分部】:佳源大廈(高新二路) 【成都分部】:領(lǐng)館區(qū)1號(中和大道) 【沈陽分部】:沈陽理工大學(xué)/六宅臻品 【鄭州分部】:鄭州大學(xué)/錦華大廈 【石家莊分部】:河北科技大學(xué)/瑞景大廈 【廣州分部】:廣糧大廈 【西安分部】:協(xié)同大廈
近開課時間(周末班/連續(xù)班/晚班): MATLAB to C with MATLAB Coder培訓(xùn)開課時間:2025年3月24日........................(歡迎您垂詢,視教育質(zhì)量為生命!) |
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新優(yōu)惠 |
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質(zhì)量保障 |
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MATLAB to C with MATLAB Coder培訓(xùn) |
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Code Generation with MATLAB Coder Objective: Become familiar with MATLAB
Coder and its applications.
MATLAB Coder overview
Workflow for generating C code from MATLAB code
Setting up your C compiler
Generating C code
Navigating generated code
Generated code modules
Preparing MATLAB Code for Code Generation Objective: Use MATLAB Coder
coding standards to write
MATLAB code that is ready for code generation.
Translating MATLAB code into C code
Calling unsupported MATLAB functions
Converting existing MATLAB code
Debugging strategies
Working with Fixed-Size Data Objective: Generate C code from MATLAB code
that has fixed-size or constant inputs.
Data characteristics overview
Default data characteristics
Specifying fixed-size top-level inputs
Specifying constant top-level inputs
Working with Variable-Size Data Objective: Generate C code from MATLAB code
that has variable-size inputs or local data.
Specifying variable-size top-level inputs
Specifying variable-size local data
Reusing variables
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Working with Global Data and Structures Objective: Generate C code from MATLAB
code that contains persistent data,
global variables, or input structures.
Persistent variables
Global variables
Working with structures
Passing variables by reference
Integrating with External Code Objective: Integrate generated C code from MATLAB
Coder with external C code.
Code integration overview
Entry points to generated code
Integrating external C code using MATLAB Coder interface
Integrating external C code using an external IDE
Calling external C routines
Integrating with a MATLAB wrapper function
Optimizing Generated Code Objective: Use various options and techniques to
optimize generated code.
Specifying variable numbers of arguments
Loop unrolling in generated code
Null initialization
Function inlining
File partitioning
Configuration object for embeddable C code generation
Naming conventions in generated code
Optimizing for computational complexity
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