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We present a technique for solving parametrized elliptic partial differential equations with multiple scales.
A typical project is to choose a problem of interest and design, implement, and experimentally evaluate a technique for solving that problem.
The DPLL(T) approach to SMT has risen to prominence as a technique for solving these quantifier-free problems.
Multiobjective programming, a technique for solving mathematical optimization problems with multiple conflicting objectives, has received increasing attention among researchers in various academic disciplines.
A technique for solving the model equations typical of noncatalytic fluid-solid reactions where both diffusion and kinetics are important is presented.
In this paper we present a technique for solving Maxwell's equations on an unstructured grid based on the Taylor-Galerkin finite-element method.
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Green's function gives the response of a system to a probe and is a powerful technique for solving a variety of problems in science and engineering.
Genetic algorithms (GA) is another important development in mathematical analysis; a stochastic technique for solving a variety of problems from engineering to finance.
In [6], Doha et al. introduced a numerical technique for solving a general form of the fractional optimal control problem.
In this article, we introduce a numerical technique for solving a general form of the fractional optimal control problem.
Monte Carlo method is an analytical technique for solving a problem by performing a large number of simulations and inferring a solution from the collective results of the simulations.
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