transpose - Transpose vector or matrix - MATLAB (original) (raw)

Main Content

Transpose vector or matrix

Syntax

Description

B = [A](#buaszto-A).' returns the nonconjugate transpose of A, that is, interchanges the row and column index for each element. If A contains complex elements, thenA.' does not affect the sign of the imaginary parts. For example, if A(3,2) is 1+2i and B = A.', then the element B(2,3) is also1+2i.

example

B = transpose([A](#buaszto-A)) is an alternate way to execute A.' and enables operator overloading for classes.

Examples

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Real Matrix

Create a matrix of real numbers and compute its transpose. B has the same elements as A, but the rows of B are the columns of A and the columns of B are the rows of A.

A = 4×4

16     2     3    13
 5    11    10     8
 9     7     6    12
 4    14    15     1

B = 4×4

16     5     9     4
 2    11     7    14
 3    10     6    15
13     8    12     1

Complex Matrix

Create a matrix containing complex elements and compute its nonconjugate transpose. B contains the same elements as A, except the rows and columns are interchanged. The signs of the imaginary parts are unchanged.

A = [1 3 4-1i 2+2i; 0+1i 1-1i 5 6-1i]

A = 2×4 complex

1.0000 + 0.0000i 3.0000 + 0.0000i 4.0000 - 1.0000i 2.0000 + 2.0000i 0.0000 + 1.0000i 1.0000 - 1.0000i 5.0000 + 0.0000i 6.0000 - 1.0000i

B = 4×2 complex

1.0000 + 0.0000i 0.0000 + 1.0000i 3.0000 + 0.0000i 1.0000 - 1.0000i 4.0000 - 1.0000i 5.0000 + 0.0000i 2.0000 + 2.0000i 6.0000 - 1.0000i

Input Arguments

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A — Input array

vector | matrix

Input array, specified as a vector or matrix.

Data Types: single | double | int8 | int16 | int32 | int64 | uint8 | uint16 | uint32 | uint64 | logical | char | string | struct | cell | categorical | datetime | duration | calendarDuration
Complex Number Support: Yes

Tips

• The complex conjugate transpose operator, A', also negates the sign of the imaginary part of the complex elements inA.

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™.

HDL Code Generation

Generate VHDL, Verilog and SystemVerilog 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, 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 transpose function fully supports GPU arrays. To run the function on a GPU, specify the input data as a gpuArray (Parallel Computing Toolbox). 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™.

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

Version History

Introduced before R2006a