MATLAB® Coder User's Guide

About MATLAB Coder MATLAB Coder Product Description Product Overview When to Use MATLAB Coder Code Generation for Embedded Software Applications Code Generation for Fixed-Point Algorithms Design Considerations for C/C++ Code Generation When to Generate Code from MATLAB Algorithms When Not to Generate Code from MATLAB Algorithms Which Code Generation Feature to Use Prerequisites for C/C++ Code Generation from MATLAB MATLAB Code Design Considerations for Code Generation See Also Differences Between Generated Code and MATLAB Code Functions that have Multiple Possible Outputs Writing to ans Variable Logical Short-Circuiting Loop Index Overflow Indexing for Loops by Using Single Precision Operands Index of an Unentered for Loop Character Size Order of Evaluation in Expressions Name Resolution While Constructing Function Handles Termination Behavior Size of Variable-Size N-D Arrays Size of Empty Arrays Size of Empty Array That Results from Deleting Elements of an Array Binary Element-Wise Operations with Single and Double Operands Floating-Point Numerical Results NaN and Infinity Negative Zero Code Generation Target MATLAB Class Property Initialization MATLAB Classes in Nested Property Assignments That Have Set Methods MATLAB Handle Class Destructors Variable-Size Data Complex Numbers Converting Strings with Consecutive Unary Operators to double Display Function Potential Differences Reporting Addressing Potential Differences Messages Disabling and Enabling Potential Differences Reporting for MATLAB Coder Disabling and Enabling Potential Differences Reporting for Fixed-Point Designer Potential Differences Messages Automatic Dimension Incompatibility mtimes No Dynamic Scalar Expansion Matrix-Matrix Indexing Vector-Vector Indexing Loop Index Overflow MATLAB Language Features Supported for C/C++ Code Generation MATLAB Features That Code Generation Supports MATLAB Language Features That Code Generation Does Not Support Functions, Classes, and System Objects Supported for Code Generation Functions and Objects Supported for C/C++ Code Generation Defining MATLAB Variables for C/C++ Code Generation Variables Definition for Code Generation Best Practices for Defining Variables for C/C++ Code Generation Define Variables By Assignment Before Using Them Use Caution When Reassigning Variables Use Type Cast Operators in Variable Definitions Define Matrices Before Assigning Indexed Variables Index Arrays by Using Constant Value Vectors Eliminate Redundant Copies of Variables in Generated Code When Redundant Copies Occur How to Eliminate Redundant Copies by Defining Uninitialized Variables Defining Uninitialized Variables Reassignment of Variable Properties Reuse the Same Variable with Different Properties When You Can Reuse the Same Variable with Different Properties When You Cannot Reuse Variables Limitations of Variable Reuse Supported Variable Types Edit and Represent Coder Type Objects and Properties Object Properties Legacy Representation of Coder Type Objects Defining Data for Code Generation Data Definition Considerations for Code Generation Code Generation for Complex Data Restrictions When Defining Complex Variables Code Generation for Complex Data with Zero-Valued Imaginary Parts Results of Expressions That Have Complex Operands Results of Complex Multiplication with Nonfinite Values Encoding of Characters in Code Generation Array Size Restrictions for Code Generation Code Generation for Constants in Structures and Arrays Code Generation for Strings Limitations Differences Between Generated Code and MATLAB Code Define String Scalar Inputs Define String Scalar Types at the Command Line Define String Scalar Inputs in the MATLAB Coder App Code Generation for Sparse Matrices Sparse Data Types in Generated Code Input Definition Code Generation Guidelines Code Generation Limitations Specify Array Layout in Functions and Classes Specify Array Layout in a Function Query Array Layout of a Function Specify Array Layout in a Class Code Design for Row-Major Array Layout Understand Potential Inefficiencies Caused by Array Layout Linear Indexing Uses Column-Major Array Layout Code Generation for Variable-Size Data Code Generation for Variable-Size Arrays Memory Allocation for Variable-Size Arrays Enabling and Disabling Support for Variable-Size Arrays Variable-Size Arrays in a Code Generation Report Control Memory Allocation for Variable-Size Arrays Provide Upper Bounds for Variable-Size Arrays Disable Dynamic Memory Allocation Configure Code Generator to Use Dynamic Memory Allocation for Arrays Bigger Than a Threshold Specify Upper Bounds for Variable-Size Arrays Specify Upper Bounds for Variable-Size Inputs Specify Upper Bounds for Local Variables Define Variable-Size Data for Code Generation Use a Matrix Constructor with Nonconstant Dimensions Assign Multiple Sizes to the Same Variable Define Variable-Size Data Explicitly by Using coder.varsize Diagnose and Fix Variable-Size Data Errors Diagnosing and Fixing Size Mismatch Errors Diagnosing and Fixing Errors in Detecting Upper Bounds Incompatibilities with MATLAB in Variable-Size Support for Code Generation Incompatibility with MATLAB for Scalar Expansion Incompatibility with MATLAB in Determining Size of Variable-Size N-D Arrays Incompatibility with MATLAB in Determining Size of Empty Arrays Incompatibility with MATLAB in Determining Class of Empty Arrays Incompatibility with MATLAB in Matrix-Matrix Indexing Incompatibility with MATLAB in Vector-Vector Indexing Incompatibility with MATLAB in Matrix Indexing Operations for Code Generation Incompatibility with MATLAB in Concatenating Variable-Size Matrices Differences When Curly-Brace Indexing of Variable-Size Cell Array Inside Concatenation Returns No Elements Variable-Sizing Restrictions for Code Generation of Toolbox Functions Common Restrictions Toolbox Functions with Restrictions for Variable-Size Data Generate Code With Implicit Expansion Enabled Output Size Additional Code Generation Performance Variation Optimize Implicit Expansion in Generated Code Disable Implicit Expansion in Specified Function by Using coder.noImplicitExpansionInFunction Disable Implicit Expansion for Specific Binary Operation by Using coder.sameSizeBinaryOp Disable Implicit Expansion in your Project Representation of Arrays in Generated Code Customize Interface Generation Control Memory Allocation for Fixed-Size Arrays Enable Dynamic Memory Allocation for All Fixed-Size Arrays Enable Dynamic Memory Allocation for Arrays Bigger Than a Threshold Resolve Error: Size Mismatches Issue Possible Solutions Code Generation for MATLAB Structures Structure Definition for Code Generation Structure Operations Allowed for Code Generation Define Scalar Structures for Code Generation Restrictions When Defining Scalar Structures by Assignment Adding Fields in Consistent Order on Each Control Flow Path Restriction on Adding New Fields After First Use Define Arrays of Structures for Code Generation Ensuring Consistency of Fields Using repmat to Define an Array of Structures with Consistent Field Properties Defining an Array of Structures by Using struct Defining an Array of Structures Using Concatenation Index Substructures and Fields Assign Values to Structures and Fields Code Generation for Categorical Arrays Code Generation for Categorical Arrays Define Categorical Arrays for Code Generation Allowed Operations on Categorical Arrays MATLAB Toolbox Functions That Support Categorical Arrays Define Categorical Array Inputs Define Categorical Array Inputs at the Command Line Define Categorical Array Inputs in the MATLAB Coder App Representation of Categorical Arrays Categorical Array Limitations for Code Generation Code Generation for Cell Arrays Code Generation for Cell Arrays Homogeneous vs. Heterogeneous Cell Arrays Controlling Whether a Cell Array Is Homogeneous or Heterogeneous Naming the Structure Type That Represents a Heterogeneous Cell Array in the Generated Code Cell Arrays in Reports Control Whether a Cell Array Is Variable-Size Define Cell Array Inputs Cell Array Limitations for Code Generation Cell Array Element Assignment Variable-Size Cell Arrays Definition of Variable-Size Cell Array by Using cell Cell Array Indexing Growing a Cell Array by Using {end + 1} Cell Array Contents Passing Cell Arrays to External C/C++ Functions Code Generation for Datetime Arrays Code Generation for Datetime Arrays Define Datetime Arrays for Code Generation Allowed Operations on Datetime Arrays MATLAB Toolbox Functions That Support Datetime Arrays Define Datetime Array Inputs Define Datetime Array Inputs at the Command Line Define Datetime Array Inputs in the MATLAB Coder App Representation of Datetime Arrays Datetime Array Limitations for Code Generation Code Generation for Duration Arrays Code Generation for Duration Arrays Define Duration Arrays for Code Generation Allowed Operations on Duration Arrays MATLAB Toolbox Functions That Support Duration Arrays Define Duration Array Inputs Define Duration Array Inputs at the Command Line Define Duration Array Inputs in the MATLAB Coder App Representation of Duration Arrays Duration Array Limitations for Code Generation Code Generation for Tables Code Generation for Tables Define Tables for Code Generation Allowed Operations on Tables MATLAB Toolbox Functions That Support Tables Define Table Inputs Define Table Inputs at the Command Line Define Table Inputs in the MATLAB Coder App Representation of Tables Table Limitations for Code Generation Creating Tables Limitations Modifying Tables Limitations Using Table Functions Limitations Code Generation for Timetables Code Generation for Timetables Define Timetables for Code Generation Allowed Operations on Timetables MATLAB Toolbox Functions That Support Timetables Define Timetable Inputs Define Timetable Inputs at the Command Line Define Timetable Inputs in the MATLAB Coder App Representation of Timetables Timetable Limitations for Code Generation Creating Timetables Limitations Modifying Timetables Limitations Using Timetable Functions Limitations Code Generation for Enumerated Data Code Generation for Enumerations Define Enumerations for Code Generation Allowed Operations on Enumerations MATLAB Toolbox Functions That Support Enumerations Customize Enumerated Types in Generated Code Specify a Default Enumeration Value Specify a Header File Include Class Name Prefix in Generated Enumerated Type Value Names Generate C++11 Code Containing Ordinary C Enumeration Code Generation for MATLAB Classes MATLAB Classes Definition for Code Generation Language Limitations Code Generation Features Not Compatible with Classes Defining Class Properties for Code Generation Inheritance from Built-In MATLAB Classes Not Supported Classes That Support Code Generation Generate Code for MATLAB Value Classes Generate Code for MATLAB Handle Classes and System Objects Code Generation for Handle Class Destructors Guidelines and Restrictions Behavioral Differences of Objects in Generated Code and in MATLAB Class Does Not Have Property Solution Passing By Reference Not Supported for Some Properties Handle Object Limitations for Code Generation A Variable Outside a Loop Cannot Refer to a Handle Object Allocated Inside a Loop A Handle Object That a Persistent Variable Refers To Must Be a Singleton Object References to Handle Objects Can Appear Undefined System Objects in MATLAB Code Generation Usage Rules and Limitations for System Objects for Generating Code System Objects in codegen System Objects in the MATLAB Function Block System Objects in the MATLAB System Block System Objects and MATLAB Compiler Software Specify Objects as Inputs at the Command Line Consistency Between coder.ClassType Object and Class Definition File Limitations for Using Objects as Entry-Point Function Inputs Specify Objects as Inputs in the MATLAB Coder App Automatically Define an Object Input Type Provide an Example Consistency Between the Type Definition and Class Definition File Limitations for Using Objects as Entry-Point Function Inputs Work Around Language Limitation: Code Generation Does Not Support Object Arrays Issue Possible Solutions Generating C++ Classes Generate C++ Classes for MATLAB Classes Example: Generate Code for a Handle Class That Has Private and Public Members Additional Usage Notes and Limitations Code Generation for Function Handles Function Handle Limitations for Code Generation Code Generation for Deep Learning Arrays Code Generation for dlarray Define dlarray for Code Generation dlarray Object Functions with Code Generation Support Deep Learning Toolbox Functions with dlarray Code Generation Support MATLAB Functions with dlarray Code Generation Support dlarray Limitations for Code Generation Recommended Usage Limitations Defining Functions for Code Generation Code Generation for Variable Length Argument Lists Generate Code for arguments Block That Validates Input Arguments Supported Features Input Type Specification and arguments blocks Specify Number of Entry-Point Function Input or Output Arguments to Generate Control Number of Input Arguments Control the Number of Output Arguments Code Generation for Anonymous Functions Anonymous Function Limitations for Code Generation Code Generation for Nested Functions Nested Function Limitations for Code Generation Calling Functions for Code Generation Resolution of Function Calls for Code Generation Key Points About Resolving Function Calls Compile Path Search Order When to Use the Code Generation Path Resolution of File Types on Code Generation Path Compilation Directive %#codegen Use MATLAB Engine to Execute a Function Call in Generated Code When To Declare a Function as Extrinsic Use the coder.extrinsic Construct Call MATLAB Functions Using feval Working with mxArrays Restrictions on Using Extrinsic Functions Code Generation for Recursive Functions Compile-Time Recursion Run-Time Recursion Disallow Recursion Disable Run-Time Recursion Recursive Function Limitations for Code Generation Force Code Generator to Use Run-Time Recursion Treat the Input to the Recursive Function as a Nonconstant Make the Input to the Recursive Function Variable-Size Assign Output Variable Before the Recursive Call Avoid Duplicate Functions in Generated Code Issue Cause Solution Fixed-Point Conversion Detect Unexecuted and Constant-Folded Code What Is Unexecuted Code? Detect Unexecuted Code Fix Unexecuted Code Convert MATLAB Code to Fixed-Point C Code Propose Fixed-Point Data Types Based on Simulation Ranges Propose Fixed-Point Data Types Based on Derived Ranges Specify Type Proposal Options Detect Overflows Replace the exp Function with a Lookup Table Replace a Custom Function with a Lookup Table Enable Plotting Using the Simulation Data Inspector Visualize Differences Between Floating-Point and Fixed-Point Results View and Modify Variable Information View Variable Information Modify Variable Information Revert Changes Promote Sim Min and Sim Max Values Automated Fixed-Point Conversion Automated Fixed-Point Conversion Capabilities Code Coverage Proposing Data Types Locking Proposed Data Types Viewing Functions Viewing Variables Log Data for Histogram Function Replacements Validating Types Testing Numerics Detecting Overflows Convert Fixed-Point Conversion Project to MATLAB Scripts Generated Fixed-Point Code Location of Generated Fixed-Point Files Minimizing fi-casts to Improve Code Readability Avoiding Overflows in the Generated Fixed-Point Code Controlling Bit Growth Avoiding Loss of Range or Precision Handling Non-Constant mpower Exponents Fixed-Point Code for MATLAB Classes Automated Conversion Support for MATLAB Classes Unsupported Constructs Coding Style Best Practices Automated Fixed-Point Conversion Best Practices Create a Test File Prepare Your Algorithm for Code Acceleration or Code Generation Check for Fixed-Point Support for Functions Used in Your Algorithm Manage Data Types and Control Bit Growth Convert to Fixed Point Use the Histogram to Fine-Tune Data Type Settings Optimize Your Algorithm Avoid Explicit Double and Single Casts Replacing Functions Using Lookup Table Approximations MATLAB Language Features Supported for Automated Fixed-Point Conversion MATLAB Language Features Supported for Automated Fixed-Point Conversion MATLAB Language Features Not Supported for Automated Fixed-Point Conversion Inspecting Data Using the Simulation Data Inspector What Is the Simulation Data Inspector? Import Logged Data Export Logged Data Group Signals Run Options Create Report Comparison Options Enabling Plotting Using the Simulation Data Inspector Save and Load Simulation Data Inspector Sessions Custom Plot Functions Data Type Issues in Generated Code Enable the Highlight Option in the MATLAB Coder App Enable the Highlight Option at the Command Line Stowaway Doubles Stowaway Singles Expensive Fixed-Point Operations Automated Fixed-Point Conversion Using Programmatic Workflow Convert MATLAB Code to Fixed-Point C Code Propose Fixed-Point Data Types Based on Simulation Ranges Propose Fixed-Point Data Types Based on Derived Ranges Detect Overflows Replace the exp Function with a Lookup Table Replace a Custom Function with a Lookup Table Enable Plotting Using the Simulation Data Inspector Visualize Differences Between Floating-Point and Fixed-Point Results Single-Precision Conversion Generate Single-Precision C Code at the Command Line Prerequisites Create a Folder and Copy Relevant Files Determine the Type of the Input Argument Generate and Run Single-Precision MEX to Verify Numerical Behavior Generate Single-Precision C Code View the Generated Single-Precision C Code View Potential Data Type Issues Generate Single-Precision C Code Using the MATLAB Coder App Prerequisites Create a Folder and Copy Relevant Files Open the MATLAB Coder App Select the Source Files Enable Single-Precision Conversion Define Input Types Check for Run-Time Issues Generate Single-Precision C Code View the Generated C Code View Potential Data Type Issues Generate Single-Precision MATLAB Code Prerequisites Create a Folder and Copy Relevant Files Set Up the Single-Precision Configuration Object Generate Single-Precision MATLAB Code View the Type Proposal Report View Generated Single-Precision MATLAB Code View Potential Data Type Issues Compare the Double-Precision and Single-Precision Variables Optionally Generate Single-Precision C Code Choose a Single-Precision Conversion Workflow Single-Precision Conversion Best Practices Use Integers for Index Variables Limit Use of assert Statements Initialize MATLAB Class Properties in Constructor Provide a Test File That Calls Your MATLAB Function Prepare Your Code for Code Generation Verify Double-Precision Code Before Single-Precision Conversion Best Practices for Generation of Single-Precision C/C++ Code Best Practices for Generation of Single-Precision MATLAB Code Warnings from Conversion to Single-Precision C/C++ Code Function Uses Double-Precision in the C89/C90 Standard Built-In Function Is Implemented in Double-Precision Built-In Function Returns Double-Precision Combining Integers and Double-Precision Numbers MATLAB Language Features Supported for Single-Precision Conversion MATLAB Language Features Supported for Single-Precision Conversion MATLAB Language Features Not Supported for Single-Precision Conversion Setting Up a MATLAB Coder Project Set Up a MATLAB Coder Project Create a Project Open an Existing Project Specify Properties of Entry-Point Function Inputs Using the App Why Specify Input Properties? Specify an Input Definition Using the App Automatically Define Input Types by Using the App Make Dimensions Variable-Size When They Meet Size Threshold Define Input Parameter by Example by Using the App Define an Input Parameter by Example Specify Input Parameters by Example Specify a String Scalar Input Parameter by Example Specify a Structure Type Input Parameter by Example Specify a Cell Array Type Input Parameter by Example Specify an Enumerated Type Input Parameter by Example Specify an Object Input Type Parameter by Example Specify a Fixed-Point Input Parameter by Example Specify an Input from an Entry-Point Function Output Type Define or Edit Input Parameter Type by Using the App Define or Edit an Input Parameter Type Specify a String Scalar Input Parameter Specify an Enumerated Type Input Parameter Specify a Fixed-Point Input Parameter Specify a Structure Input Parameter Specify a Cell Array Input Parameter Define Constant Input Parameters Using the App Define Inputs Programmatically in the MATLAB File Add Global Variables by Using the App Specify Global Variable Type and Initial Value Using the App Why Specify a Type Definition for Global Variables? Specify a Global Variable Type Define a Global Variable by Example Define or Edit Global Variable Type Define Global Variable Initial Value Define Global Variable Constant Value Remove Global Variables Undo and Redo Changes to Type Definitions in the App Code Generation Readiness Screening in the MATLAB Coder App Slow Operations in MATLAB Coder App Unable to Open a MATLAB Coder Project Preparing MATLAB Code for C/C++ Code Generation Workflow for Preparing MATLAB Code for Code Generation See Also Fixing Errors Detected at Design Time See Also Using the Code Analyzer Check Code with the Code Analyzer Check Code by Using the Code Generation Readiness Tool Run Code Generation Readiness Tool at the Command Line Run Code Generation Readiness Tool from the Current Folder Browser Run the Code Generation Readiness Tool Using the MATLAB Coder App Code Generation Readiness Tool Issues Tab Files Tab Unable to Determine Code Generation Readiness Generate MEX Functions by Using the MATLAB Coder App Workflow for Generating MEX Functions Using the MATLAB Coder App Generate a MEX Function Using the MATLAB Coder App Configure Project Settings Build a MATLAB Coder Project See Also Generate MEX Functions at the Command Line Command-line Workflow for Generating MEX Functions Generate a MEX Function at the Command Line Fix Errors Detected at Code Generation Time See Also Running and Debugging MEX Functions Debug MEX Functions Debug MEX Functions by Using a C/C++ Debugger Debugging Strategies Collect and View Line Execution Counts for Your MATLAB Code Resolve Error: Function Is Not Supported for Code Generation Issue Possible Solutions Debug Generated C/C++ Code Testing MEX Functions in MATLAB Why Test MEX Functions in MATLAB? Workflow for Testing MEX Functions in MATLAB See Also Running MEX Functions Debug MEX Functions Debug MEX Functions by Using a C/C++ Debugger Check for Run-Time Issues by Using the App Collect MATLAB Line Execution Counts Disable JIT Compilation for Parallel Loops Verify MEX Functions in the MATLAB Coder App Verify MEX Functions at the Command Line Debug Run-Time Errors Viewing Errors in the Run-Time Stack Handling Run-Time Errors Using MEX Functions That MATLAB Coder Generates Generating C/C++ Code from MATLAB Code Code Generation Workflow See Also Generating Standalone C/C++ Executables from MATLAB Code Generate a C Executable Using the MATLAB Coder App Generate a C Executable at the Command Line Specifying main Functions for C/C++ Executables Specify main Functions Configure Build Settings Specify Build Type Specify a Language for Code Generation Specify Output File Name Specify Output File Locations Parameter Specification Methods Specify Build Configuration Parameters Specify Configuration Parameters in Command-Line Workflow Interactively Create and Modify Configuration Objects by Using the Dialog Box Additional Functionalities in the Dialog Box Specify Data Types Used in Generated Code Specify Data Type Using the MATLAB Coder App Specify Data Type at the Command Line Use Generated Initialize and Terminate Functions Initialize Function Terminate Function Change the Language Standard Convert codegen Command to Equivalent MATLAB Coder Project Example: Convert a Complete codegen Command to a Project File Example: Convert an Incomplete codegen Command to a Template Project File Limitations Share Build Configuration Settings Export Settings Import Settings Convert MATLAB Coder Project to MATLAB Script Convert a Project Using the MATLAB Coder App Convert a Project Using the Command-Line Interface Run the Script Special Cases That Generate Additional MAT-File Preserve Variable Names in Generated Code Reserved Keywords C Reserved Keywords C++ Reserved Keywords Keywords Reserved for Code Generation Reserved Prefixes MATLAB Coder Code Replacement Library Keywords Specify Properties of Entry-Point Function Inputs Why You Must Specify Input Properties Properties to Specify Rules for Specifying Properties of Primary Inputs Methods for Defining Properties of Primary Inputs Define Input Properties by Example at the Command Line Specify Constant Inputs at the Command Line Specify Variable-Size Inputs at the Command Line Input Type Specification and arguments blocks Specify Cell Array Inputs at the Command Line Specify Cell Array Inputs by Example Specify the Type of the Cell Array Input Make a Homogeneous Copy of a Type Make a Heterogeneous Copy of a Type Specify Variable-Size Cell Array Inputs Specify Type Name for Heterogeneous Cell Array Inputs Specify Constant Cell Array Inputs Constant Input Checking in MEX Functions Control Whether a MEX Function Checks the Value of a Constant Input Define Input Properties Programmatically in the MATLAB File How to Use assert with MATLAB Coder Rules for Using assert Function Specifying General Properties of Primary Inputs Specifying Properties of Primary Fixed-Point Inputs Specifying Properties of Cell Arrays Specifying Class and Size of Scalar Structure Specifying Class and Size of Structure Array Create and Edit Input Types by Using the Coder Type Editor Open the Coder Type Editor Common Editor Actions Type Browser Pane Type Properties Pane MATLAB Code Pane Speed Up Compilation by Generating Only Code Disable Creation of the Code Generation Report Paths and File Infrastructure Setup Compile Path Search Order Specify Folders to Search for Custom Code Naming Conventions Generate Code for Multiple Entry-Point Functions Generating Code for Multiple Entry-Point Functions Call a Single Entry-Point Function from a MEX Function Generate Code for More Than One Entry-Point Function Using the MATLAB Coder App Generate One MEX Function for Multiple Signatures Generate Multisignature MEX Function for a Single Entry-Point Function Generate Multisignature MEX Function for Multiple Entry-Point Functions Pass an Entry-Point Function Output as an Input Pass an Entry-Point Function Output as an Input to Another Entry-Point Function Use coder.OutputType to Facilitate Code Componentization Generate Code for Global Data Workflow Declare Global Variables Define Global Data Synchronizing Global Data with MATLAB Define Constant Global Data Global Data Limitations for Generated Code Specify Global Cell Arrays at the Command Line Generate Code for Enumerations Generate Code for Variable-Size Data Disable Support for Variable-Size Data Control Dynamic Memory Allocation Generating Code for MATLAB Functions with Variable-Size Data Generate Code for a MATLAB Function That Expands a Vector in a Loop How MATLAB Coder Partitions Generated Code Partitioning Generated Files How to Select the File Partitioning Method Partitioning Generated Files with One C/C++ File Per MATLAB File Generated Files and Locations File Partitioning and Inlining Requirements for Signed Integer Representation Build Process Customization RTW.BuildInfo Methods coder.updateBuildInfo Function coder.ExternalDependency Class Post-Code-Generation Command Run-time Stack Overflow Compiler and Linker Errors Failure to Specify a Main Function Failure to Specify External Code Files Errors Caused by External Code Pass Structure Arguments by Reference or by Value in Generated Code Name the C Structure Type to Use With a Global Structure Variable Generate Code for an LED Control Function That Uses Enumerated Types Generate Code That Uses N-Dimensional Indexing Improve Readability with N-Dimensional Indexing and Row-Major Layout Column-Major Layout and N-Dimensional Indexing Other Code Generation Considerations Install OpenMP Library on macOS Platform Generate Code to Detect Edges on Images C Code Generation for a MATLAB Kalman Filtering Algorithm Generate Code to Optimize Portfolio by Using Black Litterman Approach Generate Code for Persistent Variables Generate Code for Structure Arrays Add Custom Toolchains to MATLAB® CoderTM Build Process Generate Code for Sobel Edge Detection That Uses Half-Precision Data Type Half Precision in MATLAB Half Precision Code Generation Support Generate Native Half-Precision C Code Using MATLAB Coder Generate Native Half-Precision C Code for ARM® Cortex®-A with GCC Compiler Generate Native Half-Precision C Code for ARM Cortex-A with Armclang Compiler Register ARM Target Hardware with Custom Language Implementation What is Half Precision? Half Precision Applications Benefits of Using Half Precision in Embedded Applications Half Precision in MATLAB Half Precision in Simulink Code Generation with Half Precision Build Process Support for File and Folder Names Filenames with Spaces Folder Names with Spaces Troubleshooting Errors When Folder Names Have Spaces Folder Names with Special Characters Very Long Folder Paths Generate Code That Reads Data from a File Verify Generated C/C++ Code Tracing Generated C/C++ Code to MATLAB Source Code Generate Traceability Tags Format of Traceability Tags Location of Comments in Generated Code Traceability Tag Limitations Code Generation Reports Report Generation Report Location Errors and Warnings Files and Functions MATLAB Source MATLAB Variables Tracing Code Code Insights Additional Reports Report Limitations Access Code Generation Report Information Programmatically Create Report Information Object Example: Create Report Information Object for Successful Code Generation Example: Create Report Information