Evolutionary algorithms (EAs) have been applied to many optimization problems successfully in recent years. The genetic algorithm (GAs) and evolutionary programming (EP) are two di!erent types of EAs. GAs use crossover as the primary search operator and mutation as a background operator, while EP uses mutation as the primary search operator and does not employ any crossover. This paper proposes...

Atiyah and Bott ([AB1],[AB2]) generalized this theorem to complexes of elliptic operators; we briefly recall (under mild restrictions) their theorem. Let E0, E1, · · · , EN be a sequence of smooth hermitian vector bundles over M , equipped with a sequence of first order differential operators Di : Γ(Ei) → Γ(Ei+1). This sequence, denoted Γ(E), is called an elliptic complex if for all i, Di+1Di =...

Expectation Propagation (EP) is a popular approximate posterior inference algorithm that often provides a fast and accurate alternative to sampling-based methods. However, while the EP framework in theory allows for complex nonGaussian factors, there is still a significant practical barrier to using them within EP, because doing so requires the implementation of message update operators, which ...

The recursion relations tha~ were proposed in [2] for implementing vector extrapolation methods are 'used for devising generali}:3tions of the power method for linear operators. These generalizations are shown to produce approximatioQS to largest eigenval'ues of a linear operator under certain conditions. They are similar in fonn to. the quotient-difference algorithm and share similar convergen...

The use of fluoroscopic devices exposes patients and operators to harmful effects of ionizing radiation in an electrophysiology (EP) lab. We sought to know if the newer fluoroscopic technology (Allura Clarity) installed in a hybrid EP helps to reduce prescribed radiation dose. We performed radiation dose analysis of 90 patients who underwent various procedures in the EP lab at a community teach...

In this paper, we propose an evolutionary programming (EP) based algorithm for the training of hidden Markov models (HMMs), which are applied to automatic speech recognition. This algorithm (called the EP algorithm) uses specially designed operators of mutation and selection to find the HMM parameters and the number of states. In order to evaluate the recognition capability of the HMMs trained ...