Results 11 to 20 of about 8,348,897 (309)

Shaping of molecular weight distribution using b-spline based predictive probability density function control [PDF]

open access: yes, 2004
Issues of modelling and control of molecular weight distributions (MWDs) of polymerization products have been studied under the recently developed framework of stochastic distribution control, where the purpose is to design the required control inputs ...
Zhang, J.F., Yue, H., Wang, H., Cao, L.
core   +4 more sources

Shaping of molecular weight distribution by iterative learning probability density function control strategies [PDF]

open access: yes, 2008
A mathematical model is developed for the molecular weight distribution (MWD) of free-radical styrene polymerization in a simulated semi-batch reactor system.
Yue, H., Wang, H., Zhang, J.
core   +3 more sources

Distributed Weighted Matching [PDF]

open access: yes, 2004
In this paper, we present fast and fully distributed algorithms for matching in weighted trees and general weighted graphs. The time complexity as well as the approximation ratio of the tree algorithm is constant. In particular, the approximation ratio is 4. For the general graph algorithm we prove a constant ratio bound of 5 and a polylogarithmic time
Wattenhofer, Mirjam, Wattenhofer, Roger
openaire   +3 more sources

A class of six-weight cyclic codes and their weight distribution [PDF]

open access: yesDesigns, Codes and Cryptography, 2014
In this paper, a family of six-weight cyclic codes over GF(p) whose duals have two zeros is presented, where p is an odd prime. And the weight distribution of these cyclic codes is determined.
Yan Liu 0050   +2 more
openaire   +3 more sources

A class of five-weight cyclic codes and their weight distribution [PDF]

open access: yesDesigns, Codes and Cryptography, 2015
In this paper, a family of five-weight reducible cyclic codes is presented. Furthermore, the weight distribution of these cyclic codes is determined, which follows from the determination of value distributions of certain exponential sums.
Yan Liu 0050, Haode Yan
openaire   +4 more sources

Weighted Lomax distribution [PDF]

open access: yesSpringerPlus, 2016
The Lomax distribution (Pareto Type-II) is widely applicable in reliability and life testing problems in engineering as well as in survival analysis as an alternative distribution. In this paper, Weighted Lomax distribution is proposed and studied. The density function and its behavior, moments, hazard and survival functions, mean residual life and ...
openaire   +2 more sources

Regulation of molecular weight, molecular weight distribution and branching distribution in polyethylene, produced by supported catalysts bearing bis(imino)pyridyl Fe(II) and N,N-α-diimine Ni(II) complexes [PDF]

open access: yesPolyolefins Journal, 2022
For preparation of highly active supported catalyst with bis(imino)pyridyl Fe(II) complexes (Fe1, Fe2) and N,N-α-diimine complex of Ni (Ni3), silica modified with alumina (SiO2 (Al)) was used as a support.
Nina Semikolenova   +3 more
doaj   +1 more source

Weight distribution of the crown-weight space

open access: yesEuropean Journal of Combinatorics, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dae San Kim, Sung Hee Cho
openaire   +1 more source

The molecular-weight distribution of glycosaminoglycans [PDF]

open access: yesBiochemical Journal, 1973
1. A rapid and sensitive method for the accurate estimation of the molecular-weight distribution of keratan sulphate and chondroitin sulphate isolated from adult bovine nasal septum and intervertebral disc is described. The method utilizes gel chromatography of reductively labelled glycosaminoglycan and end-group estimation of number-average molecular ...
J J, Hopwood, H C, Robinson
openaire   +2 more sources

Weight exchange in distributed learning

open access: yes2016 International Joint Conference on Neural Networks (IJCNN), 2016
Neural networks may allow different organisations to extract knowledge from the data they collect about a similar problem domain. Moreover learning algorithms usually benefit from being able to use more training instances. But the parties owning the data are not always keen on sharing it.
Julian Dorner   +2 more
openaire   +2 more sources

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