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Extension of Wolfe Method for Solving Quadratic Programming with Interval Coefficients
Joint Authors
Fatmawati, Frank
Syaripuddin, Urmila
Suprajitno, Herry
Source
Journal of Applied Mathematics
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-09-14
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Quadratic programming with interval coefficients developed to overcome cases in classic quadratic programming where the coefficient value is unknown and must be estimated.
This paper discusses the extension of Wolfe method.
The extended Wolfe method can be used to solve quadratic programming with interval coefficients.
The extension process of Wolfe method involves the transformation of the quadratic programming with interval coefficients model into linear programming with interval coefficients model.
The next step is transforming linear programming with interval coefficients model into two classic linear programming models with special characteristics, namely, the optimum best and the worst optimum problem.
American Psychological Association (APA)
Syaripuddin, Urmila& Suprajitno, Herry& Fatmawati, Frank. 2017. Extension of Wolfe Method for Solving Quadratic Programming with Interval Coefficients. Journal of Applied Mathematics،Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1170036
Modern Language Association (MLA)
Syaripuddin, Urmila…[et al.]. Extension of Wolfe Method for Solving Quadratic Programming with Interval Coefficients. Journal of Applied Mathematics No. 2017 (2017), pp.1-6.
https://search.emarefa.net/detail/BIM-1170036
American Medical Association (AMA)
Syaripuddin, Urmila& Suprajitno, Herry& Fatmawati, Frank. Extension of Wolfe Method for Solving Quadratic Programming with Interval Coefficients. Journal of Applied Mathematics. 2017. Vol. 2017, no. 2017, pp.1-6.
https://search.emarefa.net/detail/BIM-1170036
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170036