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Kalman filtering theory [1] has been around for more than two decades and has been the backbone of modern applied stochastic estimation.

We consider the problem of minimizing the sum of a convex function of p >= 1 fractions subject to convex constraints.

TTGR is a Fortran program that solves time-varying partial differential equations on a rectangle.

This paper considers a scheduling problem with component availability constraints in a supply chain consisting of two manufacturing and a merge-intransit facilities.

This paper presents two new clustering techniques based on Extreme Learning Machine (ELM).

In this paper we consider the allocation of traffic and/or servers to independent links (stations), where each link is an Erlang loss system (multiple servers and no additional waiting room).

In this paper we present some analogies between thermodynamics and certain Shannon theory results. We revisit the previously published results that relate notion of energy and information.

HE heterodyne method of frequency comparison requires, except in the case of the comparison of nearly identical frequencies, the generation of harmonics of either the unknown, or of the standard fr

One of the most popular techniques for converting a spatial phase variation into a spatial intensity variation is the phase contrast imaging scheme originally proposed by F. Zernike 1-3 in 1935.

E ordinarily think of the physical and engineering sciences as being exact. In a m a j o r i t y of physical measurements this is practically true.

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