117 research outputs found
Multilocal programming and applications
Preprint versionMultilocal programming aims to identify all local minimizers of unconstrained
or constrained nonlinear optimization problems. The multilocal programming
theory relies on global optimization strategies combined with simple ideas
that are inspired in deflection or stretching techniques to avoid convergence to the
already detected local minimizers. The most used methods to solve this type of problems
are based on stochastic procedures and a population of solutions. In general,
population-based methods are computationally expensive but rather reliable in identifying
all local solutions. In this chapter, a review on recent techniques for multilocal
programming is presented. Some real-world multilocal programming problems
based on chemical engineering process design applications are described.Fundação para a Ciência e a Tecnologia (FCT
Polarization of Σ
We show that Sigma(+) hyperons produced by 800 GeV/c protons on targets of Be and Cu have significant polarizations (15-20%). These polarizations persist at values of p(t)approximate to2 GeV/c and a wide range of x(F). The polarizations from the Cu target are consistently less than from Be. The average ratio of the Sigma(+) polarization from Cu to that from Be is 0.68+/-0.08
Diagnostic value of diffusion-weighted MR imaging in thyroid disease: application in differentiating benign from malignant disease
A systematic framework to derive N-glycan biosynthesis process and the automated construction of glycosylation networks
Improvement in Performance of Series Z-Source Inverter with an Application as Solar PV Fed Water Pump
Temperature dependent thermal conductivity of pure silica MEL and MFI zeolite thin films
This paper reports the temperature dependent cross-plane thermal conductivity of pure silica zeolite (PSZ) MFI and MEL thin films measured using the 3ω method between 30 and 315 K. PSZ MFI thin films were b-oriented, fully crystalline, and had a 33% microporosity. PSZ MEL thin films consisted of MEL nanoparticles embedded in a non-uniform and porous silica matrix. They featured porosity, relative crystallinity, and particle size ranging from 40% to 59%, 23% to 47%, and 55 to 80 nm, respectively. Despite their crystallinity, MFI films were found to have thermal conductivity smaller than that of amorphous silica due to strong phonon scattering by micropores. In addition, the effects of increased relative crystallinity and particle size on thermal conductivity of MEL thin films were compensated by the simultaneous increase in porosity. Finally, thermal conductivity of MFI zeolite was predicted and discussed using the Callaway model based on the Debye approximation
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