Maximum parameters possible to minimize?

From the Mathcad 14 Help ...

• Solve Blocks can solve systems of up to 400 variables when using the Quasi-Newton or Conjugate-Gradient solvers. The Levenberg-Marquardt solver is unconstrained, and will solve any size system. Linear systems can have up to 8192 constraints, and nonlinear systems up to 200 constraints. When you solve for complex variables, Mathcad treats the real and imaginary parts as separate variables in the algorithm, increasing the overall variable and constraint count for the problem.

Stuart

The function Minimize and others with variable number of arguments (find, min, max, mean etc) can have not more 50 arguments. We can use at more arguments a vector-argument.

Stuart and Valery,

Thank you for your replies. To make thos more clear, I have a function which has 10 vectors as variables. Five of them have 35 Unknown and the other five have 5 unknow that has to be found through Minimize. There are 40 contraints. I took a print screen of how it looks like:

So here A,Ap,... are vectors with 35 unknowns and B,Bp,...are vecotrs with 5 unknowns. K,Kp,...are function of B vectors and there are 40 of them. I am using Nonlinear conjucage gradient algorithm. What I am seeing here is that the value of A,Ap,App,B,Bp,Bpp (120 uknowns in total) are being optimized but the value of Appp,Bppp,Apppp,Bpppp does not change at all after optimization is done (so the values remain the same it was before optimization).

Based on what you mentioned there should n't be any problems. Am I correct? What could be wrong here. Please note that if I change the initial guess for Appp,Bppp,Apppp,Bpppp the values of the function "Error" that I am trying to optimize changes.

Thank you

Dariush