non-linear functions with restricted dom

Some non-linear functions have much more restricted dom than R^nVars.
For example F(x) = log(x); dom F = R+ = {x: x>0}

I had posted a small manual of using ralg with the problems (via +inf and contol shift), however, optimization solvers wont to expect user-povided F(x) = nan (if x is out of dom).

So I have made ralg handling doms in accordance with the mentioned standard; now there are no needs to do that contol shift mentioned, and using [numpy.]nan instead of +inf is recommended.

An example has been attached to OO Doc Page.

Note also that some solvers (BTW all connected to OO except of ralg) require x0 from dom(objFunc).
As for ralg it doesn't matter, provided for each point x out of dom objFunc there is at least one active constraint (usually lb<=x<=ub are used, but any other constraints, including non-linear, are OK).

Note: some ralg iters have objFunc = nan:

-----------------------------------------------------
solver: ralg   problem: unnamed   goal: minimum
 iter    objFunVal    log10(maxResidual)   
    0  1.925e+04            -100.00 
   50        nan               1.32 
  100        nan              -0.26 
  150  1.045e+03            -100.00 
  200  1.027e+03            -100.00 
  250        nan              -3.49 
  300        nan              -3.19 
  350  1.016e+03            -100.00 
  400        nan              -5.20 
  450        nan              -6.75 
  500        nan              -5.72 
  550        nan              -5.91 
  555  1.015e+03            -100.00 
istop:  4 (|| F[k] - F[k-1] || < ftol)
Solver:   Time Elapsed = 2.45  CPU Time Elapsed = 2.37
objFunValue: 1015.082 (feasible, max constraint =  0)