Numerical methods to solve nonlinear system of inequalities? I know some methods to solve nonlinear system of equaltites: Relaxation Method, Newton method,  nonlinear Jacobi method, nonlinear Seidel method.
Is it exist some analogous method to solve nonlinear systems of inequaltites?

I'm answering from my question after couple years....
Yes, there are various ways to solve numerically objective plus inequalities.
But what is deeply wrong in question is that word non-linearity should not bring panic, in fact the problem is not in linear/non-linear but in convex/non-convex. In USSR it was realized in 1960, in USA approximately at same years.
And there areas outside math. optimization which are still think that problem is in "non-linearity".
For convex optimization problem there are a bunch of methods (e.g. interior point method, penalty method, projective subgradients).
For non-convex problems precise methods don't exist but there are two ways to handle it:


*

*Forget about non-convexity and convexify problem locally in some way
1.a DCCP(convex concave programming) - represent objective/constraint 
   functions as convex-convex and then remove concave part or 
   represent it via affine approximation at point.
1.b Just use convex methods and feed non-convex inequality or objective
1.c Fit convex approximation for objective and constraint via particle 
  method 
1.d Use penalty method and pull containts into objective
1.d Create you own

*Use global methods like branch-and-bound which are leveraged in convex optimization step, but they are usually computanionally very hard (even for small dimensions).
