cvx solution Big guys

I would like to ask, if my objective function is a transformation of variable(s), can I change s in cvx? I used tatol to indicate how to change s

You should declare `tatol `as an expression (holder) http://cvxr.com/cvx/doc/basics.html#assignment-and-expression-holders

`expression tatol(TNum+1)`
`variable tatol(TNum+1)`

Also, norm of norm is not allowed., But the one norm of a vector of norms is just the sum of those normsâ€¦ So use
`minimize(sum(tatol))`

However, instead of introducing `tatol` and using a for loop, you may be able to use `sum(norms(...))` . I leave that as an exercise to you. The for loop is o.k., but may be slower.

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.``````

I love you, Mark. Iâ€™m going to study now