We were changing the internal tao parameters vector and we should not have been
doing that because it changed the way the tao optimization algorithms worked.

We now have two parameter vectors, _parameters for TAO to take ownership of and
another called _local_parameters that is still owned by OptimizeSolve.
We can now update the _local_parameters with the data from TAO and compute our objective and gradient from this.

This causes some poorly designed tests to diff and time out.
These tests will be cleaned up in next set of commits.

… mead algorithm

This test was diff'ing because it relied on the incorrect use of nelder mead to converge

…s set extremely loose to make this solve solve in reasonable amount of time. This loose tolerance will result diffs in the solution. Nelder mead is not meant to be used with so many parameters. This problem is still being tested with gradient based methods

… PETSC errors after fixing the parameters vector. This test is optimizing a quadratic equation that converges in a single iteration. And with the fix to the parameters vector, the linesearch algorithms now work more robustly.

… the per iteration exodus output diff. The test and input files were also cleaned up

…nce with slightly different optimized values than before. closes idaholab#28922