M = min(A)
[M, I] = min(A)
M = min(A, [], dim)
[M, I] = min(A, [], dim)
M = min(A, [], dim, 'omitnan')
[M, I] = min(A, [], dim, 'includenan')
[M, I] = min(A, [], 'all')
[M, I] = min(A, [], 'all', 'omitnan')
[M, I] = min(A, [], 'all', 'includenan')
C = min(A, B)
C = min(A, B, 'omitnan')
C = min(A, B, 'includenan')
| Parameter | Description |
|---|---|
| A | a variable |
| dim | a positive integer scalar (Dimension to operate along) |
| 'omitnan' | ignore all NaN values. default behaviour. min will return the first element, if all elements are NaN. |
| 'includenan' | include the NaN values. |
| 'all' | it finds the minimum over all elements. |
| Parameter | Description |
|---|---|
| M | minimum values of A. |
| I | Index to minimum values of A. |
| C | minimum elements from A or B. |
min find minimum values in an array.
If A is a matrix then M = min(A) is a row vector containing the minimum value of each column.
If A is a vector then M = min(A) will return the minimum of A.
If A If A is complex number then M = min(A) will return founded complex number with the largest magnitude.
A = [1 2 3; 4 5 6];
M = min(A)
M = min(A, [], 'all')| Version | Description |
|---|---|
| 1.0.0 | initial version |