xor

Find logical exclusive-OR

Syntax

C =xor(A,B)

Description

C =xor(A,B)performs a logical exclusive-OR of arraysAandBand returns an array containing elements set to either logical 1 (true) or logical 0 (false). An element of the output array is set to logical 1 (true) ifAorB, but not both, contains a nonzero element at that same array location. Otherwise, the array element is set to 0.

For bit-wise logical XOR operations, seebitxor.

Examples

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Exclusive-OR Truth Table

Open Live Script

Create a truth table forxor.

A = [true false]

A =1x2 logical array1 0

B = [true; false]

B =2x1 logical array1 0

C =xor(A,B)

C =2x2 logical array0 1 1 0

Input Arguments

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`A`,`B`—Operands
scalars|vectors|matrices|multidimensional arrays

Operands, specified as scalars, vectors, matrices, or multidimensional arrays. InputsAandBmust either be the same size or have sizes that are compatible (for example,Ais anM-by-Nmatrix andBis a scalar or1-by-Nrow vector). For more information, seeCompatible Array Sizes for Basic Operations.

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

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, seeRun MATLAB Functions with Distributed Arrays(Parallel Computing Toolbox).

Version History

之前介绍过的R2006a

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R2016b: Implicit expansion change affects arguments for operators

Behavior changed in R2016b

与一个R2016b开始ddition of implicit expansion, some combinations of arguments for basic operations that previously returned errors now produce results. For example, you previously could not add a row and a column vector, but those operands are now valid for addition. In other words, an expression like[1 2] + [1; 2]previously returned a size mismatch error, but now it executes.

If your code uses element-wise operators and relies on the errors that MATLAB^®previously returned for mismatched sizes, particularly within atry/catchblock, then your code might no longer catch those errors.

For more information on the required input sizes for basic array operations, seeCompatible Array Sizes for Basic Operations.

xor

Syntax

Description

Examples

Exclusive-OR Truth Table

Input Arguments

A,B—Operandsscalars|vectors|matrices|multidimensional arrays

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

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™.