intmax - Largest value of specific integer type - MATLAB (original) (raw)

Largest value of specific integer type

Syntax

Description

v = intmax returns the largest value of the 32-bit signed integer type.

example

v = intmax([type](#mw%5F73a4b0c3-bbd2-4e4a-9553-27d209228077)) returns the largest value of the specified integer type. When you convert a value that is larger thanintmax(type) into the integer type type, the value becomes intmax(type).

example

v = intmax("like",[p](#mw%5F445778e0-3114-4d9a-a399-f1fa7be1c074)) returns the largest value of the integer type with the same data type and complexity (real or complex) as the integer variable p.

example

Examples

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Largest Value of 32-Bit Signed Integer

Return the largest value of the 32-bit signed integer type.

Largest Value of 64-Bit Unsigned Integer

Return the largest value of the 64-bit unsigned integer type.

v = uint64

18446744073709551615

Check the class of v.

Convert Value Larger Than intmax

Return the largest value of the 8-bit signed integer type, which is 127.

Convert a value larger than 127 to 8-bit signed integer.

The converted value becomes 127.

Check that v1 is the same as v.

Specify Data Type and Complexity from Existing Array

Create a 2-by-3 complex array of 8-bit signed integers.

p = int8([-12 3+2i 2; 6 3 2-7i]);

Return the largest value of the integer type with the same data type and complexity as p.

Input Arguments

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type — Integer type

"int32" (default) | character vector | string

Integer type, specified as a character vector or string. This table shows the valid options for type.

p — Prototype

integer variable

Prototype, specified as an integer variable.

Data Types: int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64
Complex Number Support: Yes

Extended Capabilities

Tall Arrays

Calculate with arrays that have more rows than fit in memory.

This function supports tall arrays with the limitations:

• The supported syntax is intmax("like",p), where the underlying data type of p must be an integer type.

For more information, see Tall Arrays.

C/C++ Code Generation

Generate C and C++ code using MATLAB® Coder™.

Thread-Based Environment

Run code in the background using MATLAB® backgroundPool or accelerate code with Parallel Computing Toolbox™ ThreadPool.

This function fully supports thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.

GPU Arrays

Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.

The intmax function supports GPU array input with these usage notes and limitations:

• The supported syntax is intmax("like",p), where the underlying data type of p must be an integer type.

For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).

Distributed Arrays

Partition large arrays across the combined memory of your cluster using Parallel Computing Toolbox™.

Usage notes and limitations:

• The supported syntax is intmax("like",p), where the underlying data type of p must be an integer type.

For more information, see Run MATLAB Functions with Distributed Arrays (Parallel Computing Toolbox).

Version History

Introduced before R2006a