MATLAB to C with MATLAB Coder培训
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上课时间和地点 |
上课地点:【深圳分部】:电影大厦(地铁一号线大剧院站)/深圳大学成教院 【上海】:同济大学(沪西)/新城金郡商务楼(11号线白银路站) 【北京分部】:北京中山学院/福鑫大楼 【南京分部】:金港大厦(和燕路) 【武汉分部】:佳源大厦(高新二路) 【成都分部】:领馆区1号(中和大道) 【沈阳分部】:沈阳理工大学/六宅臻品 【郑州分部】:郑州大学/锦华大厦 【广州分部】:广粮大厦 【西安分部】:协同大厦 【石家庄分部】:河北科技大学/瑞景大厦
最近开课时间(周末班/连续班/晚班): MATLAB to C with MATLAB Coder培训开课时间:请点击此处咨询在线客服 |
实验设备 |
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质量保障 |
1、培训过程中,如有部分内容理解不透或消化不好,可免费在以后培训班中重听;
2、课程完成后,授课老师留给学员手机和Email,保障培训效果,免费提供课后答疑。
3、培训合格学员可享受免费推荐就业机会。 |
MATLAB to C with MATLAB Coder培训 |
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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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