Floating-Point Specification in MATLAB

Create and use floating-point data types such as single and half

Because single precision numbers use only 32 bits, they require less memory than double-precision numbers while still offering many of the benefits of floating point arithmetic. The half-precision data type occupies only 16 bits of memory, but its floating-point representation enables it to handle wider dynamic ranges than integer or fixed-point data types of the same size. You can use a CustomFloat object to define a floating-point numeric data type with specified word length and mantissa length.

Classes

`Simulink.NumericType`	Specify floating-point, integer, or fixed-point data type
`target.FloatingPointDataType`	Describe floating point data type implemented by compiler for target hardware (Since R2021b)

Functions

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Single Precision

single Single-precision arrays

Half Precision

`half`	Construct half-precision numeric object
`pow10`	Base 10 power and scale half-precision numbers
`rsqrt`	Reciprocal square root
`fma`	Multiply and add using fused multiply add approach
`target.add`	Add target object to internal database
`target.create`	Create target object
`target.get`	Retrieve target objects from internal database
`target.remove`	Remove target object from internal database

Custom Floating Point

CustomFloat Numeric object with a custom floating-point data type (Since R2020a)

Namespaces

target Manage target hardware and build tool information

Topics

Floating-Point Numbers
Representation and manipulation of floating-point numbers.
What Is Half Precision?
Introduction to the half-precision data type in MATLAB^® and Simulink^®.
Half Precision Code Generation Support
C/C++ and GPU code generation support for functions that support half-precision inputs.
Generate Native Half-Precision C Code Using MATLAB Coder
Generate C code for embedded hardware targets that natively supports half precision floating-point data types.

Related Information

Numeric Types