In this article novel approaches for capturing 3D scenes are presented based on the technique of Integral Photography. The novelty in our method includes the development of robust, low complexity and high accuracy capturing devices using a depth control lens for managing the reconstruction of the 3D scene in front or behind the surface of the display device. To this end, high-resolution CCD sen...

Non{strictly-hyperbolic and mixed-type conservation laws pose a challenge to computational methods. Speciically, the computation of transitional shock waves, which are dependent on the parabolic regularization of the conservation laws, is sensitive to the numerical viscosity. In this paper, we propose a front tracking algorithm that treats transitional shock waves correctly. The algorithm inclu...

We propose a fully conservative Front Tracking algorithm for systems of nonlinear conservation laws. The algorithm can be applied uniformly in one, two, three and N dimensions. Implementation details for this algorithm and tests of fully conservative simulations are reported.

This work is motivated by the need for a high-fidelity numerical treatment of compressible flows with multimaterial interfaces. Of particular interest are immiscible flows with high Acoustic Impedance Mismatch (AIM) interfaces, such as those between gases and liquids, under both weak and strong shock wave conditions. These types of flow are encountered in numerous generically-important processe...

tion, which is often called a reaction–convection–diffusion equation, is representative of many problems which are It is well known that moving mesh and upwinding schemes are two kinds of techniques for tracking the shock or steep wave front solved by moving mesh methods in one dimension. in the solution of PDEs. It is expected that their combination should Much work has been devoted to the con...

This paper introduces a deterministic method for capturing the Pareto front in multi-objective real parameter optimization problems. It is an effort to deal with multi-objective optimization problems that were until now confronted only by stochastic algorithms, specifically evolutionary algorithms. The method is based on a theoretical result that proves the equivalence of non-dominated points t...