Exponentiation of Matrix Columns by different Powers

Given an MxN matrix A and a 1xN vector b, is there a concise way to raise each column of A to a corresponding power of the vector b? For example, if N = 4, the resulting matrix C would be computed as:

C = [A(:,1)^b(1) A(:,2)^b(2) A(:,3)^b(3) A(:,4)^b(4)];

However, when N becomes large, explicitly writing this formula is not feasible. Is there a way to write this without the use of a loop? Thank you for any feedback.

[John]

Figured it out.

C = A.^repmat(b, M, 1);

Answer 1

[Brendan Hamm]

repmat can be used to create a matrix bExp of the same size as A where the rows are repeated.

bExp = repmat(b,size(A,1),1); % Expand b to be the size of A (assuming width are same)
C = A.^bExp;

Answer 2

[James Tursa]

C = bsxfun(@power,A,b);