Are sum_square_abs and Vecnorm in matlab is same?

I have 2 Matrixes A and B both of size (n,2)
I want as in Matlab with using vecnorm(A-B,2,2), to get the norm of each row in a matrix (n*1)

for example
A = [ 1 2 ; 3 4]
B = [3 4 ; 2 1]
A - B = [-2 -2 ; -1 -3]
I want to get This:
ans =


How can I represent this in CVX?
please guide me
Thanks very much


help norms

norms Computation of multiple vector norms.
norms( X ) provides a means to compute the norms of multiple vectors
packed into a matrix or N-D array. This is useful for performing
max-of-norms or sum-of-norms calculations.

All of the vector norms, including the false "-inf" norm, supported
by NORM() have been implemented in the norms() command.
  norms(X,P)           = sum(abs(X).^P).^(1/P)
  norms(X)             = norms(X,2).
  norms(X,inf)         = max(abs(X)).
  norms(X,-inf)        = min(abs(X)).
If X is a vector, these computations are completely identical to
their NORM equivalents. If X is a matrix, a row vector is returned
of the norms of each column of X. If X is an N-D matrix, the norms
are computed along the first non-singleton dimension.

norms( X, [], DIM ) or norms( X, 2, DIM ) computes Euclidean norms
along the dimension DIM. norms( X, P, DIM ) computes its norms
along the dimension DIM.

Disciplined convex programming information:
    norms is convex, except when P<1, so an error will result if these
    non-convex "norms" are used within CVX expressions. norms is
    nonmonotonic, so its input must be affine.
1 Like

Very Thanks :pray: :pray: :pray: :pray:

excuse me, another question:
are these statements the same in CVX?
isequal(R >= eta , ones (K,1));
R >= eta

I don’t understand your question. isequal can’t be applied to CVX variables or expressions. If you want to know whether two constraitnts are equivalent, show the variable declarations and state the two constraints.