conj
Complex conjugate
Syntax
Description
Examples
Find Complex Conjugate of Complex Number
Find the complex conjugate of the complex number Z
.
Z = 2+3i
Z = 2.0000 + 3.0000i
Zc = conj(Z)
Zc = 2.0000 - 3.0000i
Find Complex Conjugate of Complex Values in Matrix
Create a 2-by-2 matrix with complex elements.
Z = [0-1i 2+1i; 4+2i 0-2i]
Z = 2×2 complex
0.0000 - 1.0000i 2.0000 + 1.0000i
4.0000 + 2.0000i 0.0000 - 2.0000i
Find the complex conjugate of each complex number in matrix Z
.
Zc = conj(Z)
Zc = 2×2 complex
0.0000 + 1.0000i 2.0000 - 1.0000i
4.0000 - 2.0000i 0.0000 + 2.0000i
Input Arguments
Z
— Input array
scalar | vector | matrix | multidimensional array
Input array, specified as a scalar, vector, matrix, or multidimensional array.
conj
operates element-wise when Z
is
nonscalar.
Data Types: single
| double
| int8
| int16
| int32
| int64
| uint8
| uint16
| uint32
| uint64
| logical
Extended Capabilities
Tall Arrays
Calculate with arrays that have more rows than fit in memory.
This function fully supports tall arrays. For more information, see Tall 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™.
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™.
This function fully supports GPU arrays. 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
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