Comparing two (or more) heuristic methods based on metaheuristic principles is a difficult task that is not solved yet in a satisfactory way. Indeed these methods are iterative, meaning that the longer they run, the better the solution they produce are. They are also almost all non-deterministic, since they use a pseudo-random number generator. This means that when running twice the same heuris...

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In this seminar paper we give an introduction to the field of deterministic approximate inference. We cast the problem of approximating a posterior distribution over hidden variables as a variational minimization problem. In this framework we describe three algorithms: Variational Factorization, Variational Bounds and Expectation Propagation. We analyze the approximations obtained by the three ...

We introduce a strictly deterministic, meaning non-random, rendering method, which performs superior to state of the art Monte Carlo techniques. Its simple and elegant implementation on parallel computer architectures is capable of simulating anti-aliasing, motion blur, depth of field, area light sources, glossy reflection and transmission, participating media, and global illumination. We provi...

Administratively, the research area is located in Waturambaha area, North Konawe, Southeast Sulawesi province. The method used determining distribution and estimation of Ni laterite measurable resources one geocomputational methods, Inverse Distance Wieght (IDW). From interpolation 82 drill points, it was concluded that levels quite high (COG ≥ 1.2%) discriminated dominantly central to northern...