Recently, Odibat and Bataineh [13] have presented an adaptation of homotopy analysis method for solving strongly nonlinear problems.
A novel form of an explicit numeric-analytic technique is developed for solving strongly nonlinear oscillators of engineering interest.
The present method is very effective and convenient method for solving strongly nonlinear oscillator systems arising in nonlinear science and engineering.
The method of harmonic balance, the method of Krylov Bogoliubov and the elliptic perturbation method are adopted for solving strongly non-linear differential equations in a complex function.
Comparing with the algorithms in [15, 16], the proposed algorithms has a simple structure, and the metric projection, in general, is simpler than solving strongly convex optimization subproblems on a same feasible set and finding shrinking projections.
However, the problems of solving strongly convex optimization subproblems and of finding shrinking projections in [15, 16] is expensive excepts special cases when the feasible set has a simple structure.
After solving the STRONGLY CHORDAL- 1,1 -SP, the question about the CHORDAL- 1,1 -SPe STRONGLY CHORDAL- 1,1 -SP-SP, for k≥ 1 and ℓ≥ 1, natheally arises.
Numerical algorithms are developed in order to solve the strongly nonlinear problem.
Then, two meta-heuristics, genetic algorithm and simulated annealing are proposed to solve this strongly NP-hard problem.
This section presents analytic center cutting plane algorithms for solving a strongly pseudomonotone variational inequality (mathit{VI}[F, X]) whose domain is an unbounded convex body.
Scores from the QFD matrix are used to weight the sub objectives of the optimization so that the solving is strongly dependent on the customers' demands.
