allfinite
Syntax
Description
Examples
Determine If All Vector Elements Are Finite
Create a row vector and determine if all elements are finite.
A = 1./[-2 -1 1e-23 0.1]
A = 1×4
1023 ×
-0.0000 -0.0000 1.0000 0.0000
TF = allfinite(A)
TF = logical
1
Create another row vector and determine if all elements are finite.
B = 0./[-2 -1 0 0.1]
B = 1×4
0 0 NaN 0
TF = allfinite(B)
TF = logical
0
Determine If All Matrix Elements Are Finite
Create a matrix and determine if all elements are finite.
A = [0 0 3;0 0 3;0 0 NaN]
A = 3×3
0 0 3
0 0 3
0 0 NaN
TF = allfinite(A)
TF = logical
0
Determine If All Array Elements Are Finite
Create a 3-D array and determine if all elements are finite.
A(:,:,1) = [2 1; 3 5]; A(:,:,2) = [0 0; 0 Inf]; A(:,:,3) = [-2 9; 4 1]
A = A(:,:,1) = 2 1 3 5 A(:,:,2) = 0 0 0 Inf A(:,:,3) = -2 9 4 1
TF = allfinite(A)
TF = logical
0
Determine If All Complex Elements Are Finite
Create a vector of complex numbers. Determine if all elements are finite.
A = [2+3i 3/0+1i -2i]
A = 1×3 complex
2.0000 + 3.0000i Inf + 1.0000i 0.0000 - 2.0000i
TF = allfinite(A)
TF = logical
0
allfinite(A)
returns 0
because the second element of A
has a real part that is infinite.
Input Arguments
A
— Input array
scalar | vector | matrix | multidimensional array
Input array, specified as a scalar, vector, matrix, or multidimensional array.
Example: [pi NaN Inf -Inf]
Data Types: single
| double
| int8
| int16
| int32
| int64
| uint8
| uint16
| uint32
| uint64
| logical
| char
| datetime
| duration
| calendarDuration
Complex Number Support: Yes
Extended Capabilities
Tall Arrays
Calculate with arrays that have more rows than fit in memory.
The
allfinite
function fully supports tall arrays. For more information,
see Tall Arrays.
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
GPU Arrays
Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.
The allfinite
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 in R2022a
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