نتایج جستجو برای: minimization principal

تعداد نتایج: 156301  

2005
Jens Myrup Pedersen Tahir M. Riaz Ole Brun Madsen

Generalized Double Rings (N2R) are compared to Degree Three Chordal Rings (CR) in terms of average distance, diameter, k-average distance and k-diameter. For each number of nodes, structures of each class are chosen to minimize diameter and average distance, an approach which is shown to result in all other parameters being either minimized or nearly minimized. Average distance and diameter are...

2014
Luca Grilli Seok-Hee Hong Jan Kratochvíl Ignaz Rutter

Journal: :int. journal of mining & geo-engineering 2013
mohammad reza soltani ahmad reza sayadi masoud monjezi mohammad hayati

cost reduction is one of the methods applied for improving the productivity of organizations. in productivity literature, particularly in nonparametric methods, cost reduction related methods are regarded as input oriented models. this paper presents a supply chain management (scm) model in which purchasing iron ore and coke from different resources, along with production and distribution of st...

Journal: :gas processing 0
farshad varaminian school of chemical, gas and petroleum engineering, semnan university, iran hadi behjati rad school of chemical, gas and petroleum engineering, semnan university, iran

abstract: â in this study, the change in the crystalline structure of gas hydrate was predicted for ternary mixture of methane-ethane-water. for this purpose, the tangent plane distance (tpd) minimization method was used. first, the calculations were performed for the binary mixtures of methane-water and ethane-water as the gas and liquid phases. the results show that for a binary mixture of th...

Journal: :Computational Optimization and Applications 2021

Rank minimization is of interest in machine learning applications such as recommender systems and robust principal component analysis. Minimizing the convex relaxation to rank problem, nuclear norm, an effective technique solve problem with strong performance guarantees. However, nonconvex relaxations have less estimation bias than norm can more accurately reduce effect noise on measurements. W...

Journal: :Signal Processing 2021

The Fukunaga-Koontz transform (FKT) is a powerful supervised feature extraction method used in two-class recognition problems, particularly when the classes have equal mean vectors but different covariance matrices. present work proves that it also possible to perform FKT an unsupervised manner, sparing need for labeled data, by using variant of L1-norm Principal Component Analysis (L1-PCA) min...

Journal: :Tohoku Mathematical Journal 1964

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