This paper presents a novel circuit for parallel bit-level maximum/niinimum selection. The selection is based on a labelupdating scheme which sequentially scans a set of data patterns from MSB to LSB and generates corresponding labels. The complet? circuit realizing this scheme consists of a set of updating units and a global OR unit, where each updating unit is compased of only a few basic gat...

Due to widespread use of Global Positioning System (GPS) in different applications, the issue of GPS signal interference cancelation is becoming an increasing concern. One of the most important intentional interferences is spoofing signals. An effective interference (delay spoof) reduction method based on adaptive filtering is developed in this paper. The principle of method is using adaptive f...

We consider a family of damped quasi-Newton methods for solving unconstrained optimization problems. This family resembles that of Broyden with line searches, except that the change in gradients is replaced by a certain hybrid vector before updating the current Hessian approximation. This damped technique modifies the Hessian approximations so that they are maintained sufficiently positive defi...

Constraint programming offers a variety of modeling objects such as logical and global constraints, that lead to concise and clear models for expressing combinatorial optimization problems. We propose a way to provide a linear formulation of such a model and detail, in particular, the transformation of some global constraints. An automatic procedure for producing and updating formulations has b...

We investigate the performance of the hybrid Monte Carlo algorithm in updating non-trivial global topological structures. We find that the hybrid Monte Carlo algorithm has serious problems decorrelating the global topological charge. This represents a warning which must be seriously considered when simulating full QCD, regardless of the number and type of fermions, with this or any similar algo...

0

The automation of model building and model updating (autoQSAR) is an important step forward towards real-time small molecule drug discovery project support using the latest experimental data. We present here a simulation study using real company data of the behaviour of QSAR models over time. Three different global QSAR models, namely, human plasma protein binding, aqueous solubility and log D7...