Documentation

N-dimensional arrays.

Matrix operations, including deletion of rows and columns.

Variable-size data (see Generate Code for Variable-Size Data). Comparison plotting does not support variable-size data.

Subscripting (see Incompatibility with MATLAB in Matrix Indexing Operations for Code Generation).

Complex numbers (see Code Generation for Complex Data).

Numeric classes (see Supported Variable Types).

Program control statements if, switch, for, while, and break.

Arithmetic, relational, and logical operators.

Local functions.

Global variables.

Persistent variables.

Structures.

Characters.

Single-precision conversion does not support the complete set of Unicode^® characters. Characters are restricted to 8 bits of precision in generated code. Many mathematical operations require more than 8 bits of precision. If you intend to convert your MATLAB algorithm to single precision, it is a best practice not to perform arithmetic with characters.

MATLAB classes. Single-precision conversion supports:

It does not support class inheritance or packages.

Function calls (see Resolution of Function Calls for Code Generation)

varargin and varargout are supported when you generate single-precision C/C++ code by using the MATLAB Coder™ app or codegen with -singleC. They are not supported when you use codegen with -double2single.

For functions that do not use varargin or varargout, you can control the number of input or output arguments in the generated entry-point function only if you generate single-precision C/C++ code by using the MATLAB Coder app or codegen with -singleC.

Anonymous functions

Cell arrays

String scalars

Objects of value classes as entry-point function inputs or outputs

Function handles

Java^®

Nested functions

Recursion

Sparse matrices

try/catch statements

varargin and varargout, or generation of fewer input or output arguments than an entry-point function defines