Fiber-optic communication systems have revolutionized our telecommunication
infrastructures–currently, almost all telephone land-line, cellular, and internet …

A sequential quadratic programming (SQP) algorithm generating feasible iterates is
described and analyzed. What distinguishes this algorithm from previous feasible SQP …

In this paper we describe how robot trajectory planning can be formulated as a semi-infinite
programming (SIP) problem. The formulation as a SIP problem allowed us to treat the …

We provide an effective and efficient implementation of a sequential quadratic programming
(SQP) algorithm for the general large scale nonlinear programming problem. In this …

SIPAMPL is an environment for coding semi-infinite programming (SIP) problems. This
environment includes a database containing a set of SIP problems that have been collected …

We present a technique to find the optimal threshold/spl tau/for the binary hypothesis
detection problem with n identical and independent sensors. The sensors all use an …

Neural prosthetic systems have been designed to estimate continuous reach trajectories
(motor prostheses) and to predict discrete reach targets (communication prostheses). In the …

The problem of choosing an optimal signal set for non-Gaussian detection was reduced to a
smooth inequality constrained mini-max nonlinear programming problem by Gockenbach …

The problem of positioning p points so as to maximize the minimum distance between them
has been studied in both location theory (as the continuous p-dispersion problem) and the …

In this paper we present a technique to find the optimal threshold/spl tau/and fusion rule for
local sensors in the distributed detection of s/spl isin/(-m, m), where the ith of n local sensors …