isfloat

Determine if input is floating-point array

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Syntax

tf = isfloat(A)

Description

tf= isfloat(A)returnstrueifAis a floating-point array andfalseotherwise. The floating-point types aresingleanddouble.

Examples

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Determine Whether Numbers Are Floating-Point Type

Open Live Script

These examples show the valuesisfloatreturns when passed specific types:

% pi returns a floating-point valueisfloat(pi)

ans =logical1

% Complex numbers are floating-point valuesisfloat(3+7i)

ans =logical1

% Single-precision numbers are floating-point valuesisfloat(realmax('single'))

ans =logical1

% isfloat returns a logical valueisfloat(isfloat(pi))

ans =logical0

Input Arguments

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`A`—Input array
scalar|vector|matrix|multidimensional array

Input array, specified as a scalar, vector, matrix, or multidimensional array. Floating-point types in MATLAB^®includesingleanddouble(and subclasses ofsingleanddouble).

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.

GPU Code Generation
Generate CUDA® code for NVIDIA® GPUs using GPU 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, seeRun MATLAB Functions in Thread-Based Environment.

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

This function fully supports GPU arrays. For more information, seeRun MATLAB Functions on a GPU(Parallel Computing Toolbox).

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

This function fully supports distributed arrays. For more information, seeRun MATLAB Functions with Distributed Arrays(Parallel Computing Toolbox).

Version History

Introduced before R2006a

isfloat

Syntax

Description

Examples

Determine Whether Numbers Are Floating-Point Type

Input Arguments

`A`—Input array
scalar|vector|matrix|multidimensional array

Extended Capabilities

C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.

GPU Code Generation
Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.

Thread-Based Environment
Run code in the background using MATLAB®`backgroundPool`or accelerate code with Parallel Computing Toolbox™`ThreadPool`.

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

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

Version History

See Also

Topics

isfloat

Syntax

Description

Examples

Determine Whether Numbers Are Floating-Point Type

Input Arguments

A—Input arrayscalar|vector|matrix|multidimensional array

Extended Capabilities

C/C++ Code GenerationGenerate C and C++ code using MATLAB® Coder™.

GPU Code GenerationGenerate CUDA® code for NVIDIA® GPUs using GPU Coder™.

Thread-Based EnvironmentRun code in the background using MATLAB®backgroundPoolor accelerate code with Parallel Computing Toolbox™ThreadPool.

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

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

Version History

See Also

Topics

`A`—Input array
scalar|vector|matrix|multidimensional array

C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.

GPU Code Generation
Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.

Thread-Based Environment
Run code in the background using MATLAB®`backgroundPool`or accelerate code with Parallel Computing Toolbox™`ThreadPool`.

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

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