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*Edited. And here is another bug, which I don't really understand (I thought problem was Derivative, but I was wrong, forgot to refresh definitions). The first cell is without the conditional, gives good output. Second gives output, but it's wrong....
I take it back. It didn't work. Another constraint is linear independence of all the eigenvectors...
I tried it, as well as Hold and ReleaseHold, but I am not understanding enough of the under-the-hood details to make it work.
I have a complicated function of many variables, and I would like to pass those variables to it, and write the code for it using these list structures (scalars, 1D and 2D arrays), and then use it in a system of ODEs where I take not just derivatives...
I have version 13.2. When I changed the kernel program to WorlframKernel, as you have it in the pic (but I didn't see that anywhere else, why is this obvious?), it worked. The default was newkernel, which didn't work. Thanks!
I have a system that looks like dF/dt= sigma \gradient F, where F is a vector quantity. There are big differences in the components of the gradient (at least away from equilibrium, where the gradient=0), and I think the largest component needs a...
A new laptop is a last resort due to expense. It's crazy that I should spend so much money just because of a font problem: INTERNAL SELF-TEST ERROR: MacFont|c|451 Click here to find out if this problem is known, and to help improve Mathematica by...
Also, the format I had works in version 8. So version 8 is better in that respect than the newest version...
I don't think my data has the appropriate structure for this, but thanks
I basically have FindMaximum[{F,cons},z], with F[z] the highest real part of the eigenvalues of a matrix, cons are constraints, and z is a list of variables. It works great up until 20 variables, but I need to go much higher. Any ideas? Notebook...