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pro vyhledávání: '"Gavriel Yarmish"'
Publikováno v:
2017 International Conference on Computational Science and Computational Intelligence (CSCI).
Dividing similar objects into a smaller number of clusters is of importance in many applications. These include search engines, monitoring of academic performance, biology and wireless networks. We first discuss a number of clustering methods. We pre
Publikováno v:
Review of Business and Finance Studies. 5(1):19-25
It is well known that Mathematical Programming techniques are well-developed and with widespread application. It would be useful for researchers and practitioners in the information systems field to have a categorization that would show the types of
Publikováno v:
2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO).
The problem of efficient clustering of candidate protein structures into a limited number of groups is addressed. Such clustering can be expensive and is rarely used in practice due to its computational complexity. We present a parallel algorithm for
Autor:
Gavriel Yarmish, Richard Van Slyke
Publikováno v:
The Journal of Supercomputing. 49:373-381
We present a simple, scaleable, distributed simplex implementation for large linear programs. It is designed for coarse-grained computation, particularly, readily available networks of workstations. Scalability is achieved by using the standard form
Autor:
Danny Kopec, Gavriel Yarmish
Publikováno v:
ACM SIGCSE Bulletin. 39:131-137
Although programmer errors have been investigated, only a limited range of error types typically made by novices have been scrutinized. In this paper we present an expanded classification of the types of errors considered in previous research. In par
Publikováno v:
ACM SIGCSE Bulletin. 39:146-156
To date there has been considerable investigation into the study of novice programmer errors. The research has analyzed both syntactic and semantic errors. However, the next level of programmers, who make more sophisticated errors, the internmediate