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- W3138069947 abstract "Inexact quadratic programming (IQP) is designed to handle impreciseness in data/ modelling parameters of quadratic programming (QP). The nature of IQP often leads to procedural and applicability problems. The existing studies on IQP have not incorporated the terms of the type xixj,i≠j in the formulation of IQP problem (or IQPP), thereby limiting its scope of applications to specific types of problems only. The paper presents an extension of the past efforts by including such terms and hence, gives wider scope of its applications. Two methodologies viz. Duality approach and Modified method to solve the generalized IQPP are suggested. In addition, it has been shown that the Modified method significantly increases the computational efficiency by reducing the involved variables and constraints. Finally, an application of IQP is demonstrated by citing a realistic problem from an area of product mix and production planning, particularly in the tea industry." @default.
- W3138069947 created "2021-03-29" @default.
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- W3138069947 date "2021-06-01" @default.
- W3138069947 modified "2023-09-27" @default.
- W3138069947 title "On inexact quadratic programming problems involving mixed terms with an application to tea industry" @default.
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- W3138069947 doi "https://doi.org/10.1016/j.cie.2021.107264" @default.
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