Is Bsxfun faster?
In this case bsxfun is almost twice faster! It is useful and fast because it avoids explicit allocation of memory for matrices idx0 and idx1 , saving them to the memory, and then reading them again just to add them.
What is Bsxfun?
The bsxfun function expands the vectors into matrices of the same size, which is an efficient way to evaluate fun for many combinations of the inputs.
How do I use Bsxfun in Matlab?
MATLAB Language Vectorization Use of bsxfun By using bsxfun , one can do the same job neatly and easily in just a single line: A = bsxfun(@minus, B, mean(B)); Here, @minus is a function handle to the minus operator ( – ) and will be applied between elements of the two matrices B and mean(B) .
What are Element wise operations in Matlab?
Array Operations
| Operator | Purpose | Description |
|---|---|---|
| – | Unary minus | -A negates the elements of A . |
| .* | Element-wise multiplication | A.*B is the element-by-element product of A and B . |
| .^ | Element-wise power | A.^B is the matrix with elements A(i,j) to the B(i,j) power. |
| ./ | Right array division | A./B is the matrix with elements A(i,j)/B(i,j) . |
How does Cellfun work Matlab?
Description. A = cellfun( func , C ) applies the function func to the contents of each cell of cell array C , one cell at a time. cellfun then concatenates the outputs from func into the output array A , so that for the i th element of C , A(i) = func(C{i}) .
What is Bsxfun octave?
: bsxfun ( f , A , B ) The binary singleton expansion function performs broadcasting, that is, it applies a binary function f element-by-element to two array arguments A and B , and expands as necessary singleton dimensions in either input argument.
What does a * b mean in MATLAB?
C = A . * B multiplies arrays A and B by multiplying corresponding elements. The sizes of A and B must be the same or be compatible. If the sizes of A and B are compatible, then the two arrays implicitly expand to match each other.
What is the difference between A * B and A * B MATLAB?
2 Answers. * is matrix multiplication while . * is elementwise multiplication. In order to use the first operator, the operands should obey matrix multiplication rules in terms of size.
What does Cellfun mean in MATLAB?
A = cellfun( func , C ) applies the function func to the contents of each cell of cell array C , one cell at a time. cellfun then concatenates the outputs from func into the output array A , so that for the i th element of C , A(i) = func(C{i}) . The array A and cell array C have the same size.
Is not empty in MATLAB?
In MATLAB®, an empty array has at least one dimension length equal to zero. An array containing missing values, such as NaN or , is not necessarily empty. Create a categorical vector with missing values. Create a 0-by-0 categorical array and test if it is empty.
When to use operators instead of bsxfun in MATLAB?
In MATLAB® R2016b and later, you can directly use operators instead of bsxfun, since the operators independently support implicit expansion of arrays with compatible sizes. Compare the elements in a column vector and a row vector. The result is a matrix containing the comparison of each combination of elements from the vectors.
Which is the equivalent of repmat in Python?
One can no longer assert that repmat and tile are equivalent instructions. In order to get tile to behave like repmat, in Python one has to make sure that the input matrix has as many dimensions as the elements are in the sequence. which was the answer of size(repmat(M,1,1,2)).
When to use bsxfun to replicate an array?
Input arrays, specified as scalars, vectors, matrices, or multidimensional arrays. Inputs A and B must have compatible sizes. For more information, see Compatible Array Sizes for Basic Operations. 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.
How to apply the bsxfun function to vectors?
Use bsxfun to apply the function to vectors a and b. The bsxfun function expands the vectors into matrices of the same size, which is an efficient way to evaluate fun for many combinations of the inputs. a = 1:7; b = pi*[0 1/4 1/3 1/2 2/3 3/4 1].’; C = bsxfun(fun,a,b)