realsqrt
Square root for nonnegative real arrays
Syntax
Description
Examples
Square Root of Matrix Elements
Create a 4-by-4 matrix of real, positive values.
X = magic(4)
X = 4×4
16 2 3 13
5 11 10 8
9 7 6 12
4 14 15 1
Compute the square root of each element in X
.
Y = realsqrt(X)
Y = 4×4
4.0000 1.4142 1.7321 3.6056
2.2361 3.3166 3.1623 2.8284
3.0000 2.6458 2.4495 3.4641
2.0000 3.7417 3.8730 1.0000
Input Arguments
X
— Input matrix
scalar | vector | matrix | multidimensional array
Input matrix, specified as a scalar, vector, matrix, or multidimensional
array. The values in X
must be nonnegative and
real.
Data Types: single
| double
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™.
Usage notes and limitations:
If the output of the function running on the GPU can be complex, then you must explicitly specify its input arguments as complex. For more information, see Work with Complex Numbers on a GPU (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
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