DocumentCode :
2836033
Title :
Process models for analyzing associative data structures
Author :
Hahanov, Vladimir ; Guz, Olesya ; Umerah, Ngene Christopher ; Olhovoy, Vitaliy
Author_Institution :
Comput. Eng. Fac., Kharkov Nat. Univ. of Radioelectron., Kharkov, Ukraine
fYear :
2010
fDate :
17-20 Sept. 2010
Firstpage :
123
Lastpage :
127
Abstract :
Parallel vector multiprocessor nonarithmetic process models presented in the paper focused on effective solving real-world problems problems of synthesis and analysis: the minimization of Boolean functions, searching for faults, repairing, pattern recognition, decision making, designing digital filters, creating user-friendly servers, Web sites and portals.
Keywords :
Boolean functions; Web sites; data structures; decision making; digital filters; pattern recognition; Boolean function; Website; associative data structure; decision making; parallel vector multiprocessor nonarithmetic process model; pattern recognition; process model; Analytical models; Boolean functions; Computational modeling; Computers; Decision making; Mathematical model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Design & Test Symposium (EWDTS), 2010 East-West
Conference_Location :
St. Petersburg
Print_ISBN :
978-1-4244-9555-9
Type :
conf
DOI :
10.1109/EWDTS.2010.5742151
Filename :
5742151
Link To Document :
https://search.ricest.ac.ir/dl/search/defaultta.aspx?DTC=49&DC=2836033
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