| Contents | Index |
C = bsxfun(fun,A,B)
C = bsxfun(fun,A,B) applies the element-by-element binary operation specified by the function handle fun to arrays A and B, with singleton expansion enabled. fun can be one of the following built-in functions:
@plus | Plus |
@minus | Minus |
@times | Array multiply |
@rdivide | Right array divide |
@ldivide | Left array divide |
@power | Array power |
@max | Binary maximum |
@min | Binary minimum |
@rem | Remainder after division |
@mod | Modulus after division |
@atan2 | Four quadrant inverse tangent |
@hypot | Square root of sum of squares |
@eq | Equal |
@ne | Not equal |
@lt | Less than |
@le | Less than or equal to |
@gt | Greater than |
@ge | Greater than or equal to |
@and | Element-wise logical AND |
@or | Element-wise logical OR |
@xor | Logical exclusive OR |
fun can also be a handle to any binary element-wise function not listed above. A binary element-wise function of the form C = fun(A,B) accepts arrays A and B of arbitrary but equal size and returns output of the same size. Each element in the output array C is the result of an operation on the corresponding elements of A and B only. fun must also support scalar expansion, such that if A or B is a scalar, C is the result of applying the scalar to every element in the other input array.
The corresponding dimensions of A and B must be equal to each other or equal to one. Whenever a dimension of A or B is singleton (equal to one), bsxfun virtually replicates the array along that dimension to match the other array. In the case where a dimension of A or B is singleton, and the corresponding dimension in the other array is zero, bsxfun virtually diminishes the singleton dimension to zero.
The size of the output array C is equal to:
max(size(A),size(B)).*(size(A)>0 & size(B)>0).
In this example, bsxfun is used to subtract the column means from the corresponding columns of matrix A.
A = magic(5);
A = bsxfun(@minus, A, mean(A))
A =
4 11 -12 -5 2
10 -8 -6 1 3
-9 -7 0 7 9
-3 -1 6 8 -10
-2 5 12 -11 -4
| © 1984-2012- The MathWorks, Inc. - Site Help - Patents - Trademarks - Privacy Policy - Preventing Piracy - RSS |