Stepsize
National Institutes of Health
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In this brief, future equality-constrained quadratic programming (FECQP) is studied. Via a zeroing neurodynamics method, a…
In order to reduce the trading-off between the quality of identifying sparse systems and the convergence speed, a new time…
Mathematical and computational modeling are key tools in analyzing important biological processes in cells and living organisms…
The most widely used algorithm for training multiplayer feedforward networks, Error BackPropagation (EBP), is an iterative…
We present second order extensions of the Hilber-Hughes-Taylor(HHT) method for systems of overdetermined differential-algebraic…
A 3-stage Hermite-Birkhoff-Obrechkoff method of order 14 with 4 quantized variable steps, denoted by HBOQ(14)3, is constructed…
This paper presents a convergence proof technique for a broad class of proximal algorithms in which the perturbation term is…
The selection of appropriate stepsizes for linear multistep methods requires in general the solution, or approximation, of a non…
One of the most known classes of algorithms for blind equalization is the so-called class of Constant Modulus Algorithms (CMA's…
A systematic way of extending a general fixed-stepsize multistep formula to a minimum storage variable-stepsize formula has been…