logical

将数字值转换为逻辑值

Syntax

l =逻辑（A)

Description

l =逻辑（A)convertsAinto an array of logical values. Any nonzero element ofAis converted to logical1(true) and zeros are converted to logical0(false). Complex values and NaNs cannot be converted to logical values and result in a conversion error.

Examples

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Pick Odd Elements from Numeric Matrix

Open Live Script

Pick out the odd-numbered elements of a numeric matrix.

Create a numeric matrix.

A = [1 -3 2;5 4 7;-8 1 3];

Find the modulus,mod(A,2), and convert it to a logical array for indexing.

l =逻辑（mod(A,2))

L =3x3 logical array1 1 0 1 0 1 0 1 1

The array has logical1(true) values whereAis odd.

UseLas a logical index to pick out the odd elements ofA.

A(L)

ans =6×11 5 -3 1 7 3

The result is a vector containing all odd elements ofA.

Use the logical NOT operator,~, onLto find the even elements ofA.

A(~L)

ans =3×1-8 4 2

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.

Tips

Most arithmetic operations involving logical arrays return double values. For example, adding zero to a logical array returns a double array.
Logical arrays also are created by the relational operators (==,<,>,~等）和功能像任何,all,isnan,isinf, andisfinite.

Extended Capabilities

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

This function fully supports tall arrays. For more information, seeTall Arrays.

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

GPU Code Generation
使用GPU CODER™为NVIDIA®GPU生成CUDA®代码。

HDL Code Generation
Generate Verilog and VHDL code for FPGA and ASIC designs using HDL 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, see运行具有分布式数组的MATLAB功能(Parallel Computing Toolbox).

版本历史

Introduced before R2006a

logical

Syntax

Description

Examples

Pick Odd Elements from Numeric Matrix

Input Arguments

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

Tips

Extended Capabilities

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

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

GPU Code Generation
使用GPU CODER™为NVIDIA®GPU生成CUDA®代码。

HDL Code Generation
Generate Verilog and VHDL code for FPGA and ASIC designs using HDL 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™.

版本历史

See Also

Topics

logical

Syntax

Description

Examples

Pick Odd Elements from Numeric Matrix

Input Arguments

A—Input arrayscalar|vector|matrix|multidimensional array

Tips

Extended Capabilities

Tall ArraysCalculate with arrays that have more rows than fit in memory.

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

GPU Code Generation使用GPU CODER™为NVIDIA®GPU生成CUDA®代码。

HDL Code GenerationGenerate Verilog and VHDL code for FPGA and ASIC designs using HDL 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™.

版本历史

See Also

Topics

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

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

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

GPU Code Generation
使用GPU CODER™为NVIDIA®GPU生成CUDA®代码。

HDL Code Generation
Generate Verilog and VHDL code for FPGA and ASIC designs using HDL 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™.