Embiggen 1.0

Embiggen is a class that makes Matrix-vector operations easier by virtually matching the size of a vector b to the size of amatrix A. This allows for such code as: C = A + Embiggen(b) Here A is a matrix (for example of size 100x50)b is a vector (for example of size 100x1) And the equation is understood as (in index notation) C_ij = A_ij + b_j Which is more readable than the alternatives: C = A + b*ones(1,size(A,2)); C = A + repmat(b,1,size(A,2)); C = bsxfun(@plus,A,b); Under the hood the "big matrix B" is never actually created, as bsxfun is used; however Embiggen avoids the ackward reverse polish notation style of bsxfun .A neat example: %Center and scale columns of a matrix A = randn(50,60); A = A - Embiggen(mean(A)); A = A ./ Embiggen(std(A)); mean(A) %vector of zeros std(A) %vector of ones The following operators are implemented: A + Embiggen(b) A - Embiggen(b) A .* Embiggen(b) A ./ Embiggen(b) A . Embiggen(b) And the logical operations: A == Embiggen(b) A ~= Embiggen(b) A Embiggen(b) A = Embiggen(b) A & Embiggen(b) A | Embiggen(b) xor(A, Embiggen(b)) As well as the functions: max(A,Embiggen(b)) min(A,Embiggen(b)) rem(A,Embiggen(b)) mod(A,Embiggen(b)) atan2(A,Embiggen(b)) hypot(A,Embiggen(b)) Embiggen also works between any two multidimensional arrays A and B as long as each dimension of A and B is equal to each other, or equal to one. Embiggen does not redefine any core Matlab classes, unlike other solutions (for example bsxops).

Requirements:	No special requirements
Platforms:	Matlab
Keyword:	Functions,  Implemented,  Logical,  Maxaembiggenb,  Meana,  Minaembiggenb,  Operators,  Scale,  Zeros
Users rating:	0/10