Sentence examples for for solving a class of general from inspiring English sources

We introduce a class of projection-contraction methods for solving a class of general random implicit quasi-variational inequalities with random multivalued mappings in Hilbert spaces, construct some random iterative algorithms, and give some existence theorems of random solutions for this class of general random implicit quasi-variational inequalities.

Mathematical programming is an art that provides precise techniques for solving a class of problems.

This algorithm was employed for solving a class of variable-order fractional differential equations.

Therefore, solving is application-dependent, which provides the flexibility of solving a class of applications by the general framework.

Zaky et al. [19] proposed the Jacobi wavelets collocation approach based on the Jacobi wavelets operational matrix of V-OF derivative for solving a general class of V-OF differential equations arising in turbulent fluid dynamics.

Recently, Lu and Zhang [ 11] presented a penalty decomposition method for solving a more general class of ℓ0-constrained and ℓ0-regularized minimization problems.

The general method of integrodifferential relations (IDR) for solving a wide class of boundary value problems is developed and criteria of solution quality are proposed.

A general design for the relaxed proximal point algorithm using the notion of A-maximal-relaxed accretiveness is developed, and then the convergence analysis for this algorithm in the context of solving a general class of nonlinear inclusion problems is examined along with some other results of interest involving A-maximal-relaxed accretive mappings in a real Banach space setting.

It is a general method for the solving a large class of partial differential equations, but is applied to the shallow water equations here.

However, general methodologies for solving this class of design problems are not easily encountered in the literature because of the complexity of the resultant multiobjective problems.

Stochastic, zero-order, population-based optimization methods are ideal for solving this class of problems.