Optimality Conditions and Duality for a Class of Nonlinear Fractional Programming Problems

By Z. Liang, H. Huang, P. Pardalos. 2001

163 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Control and Systems Engineering, Numerical Analysis

View Paper: https://www.semanticscholar.org/paper/3fb70373ff6f17551434bf0e591012c7a37dbe4a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Altannar Chinchuluun
2. Chrysanthos E. Gounaris
3. Christodoulos A. Floudas
4. P. Pardalos
5. Muhammad Aslam Noor
6. John L. Klepeis

In Control and Systems Engineering

1. Christodoulos A. Floudas
2. Altannar Chinchuluun
3. P. Pardalos
4. Chrysanthos E. Gounaris
5. Ruth Misener

In Numerical Analysis

1. Christodoulos A. Floudas
2. Altannar Chinchuluun
3. Chrysanthos E. Gounaris
4. P. Pardalos
5. Ruth Misener
6. Muhammad Aslam Noor

Citations in the corpus

• A review of recent advances in global optimization (2009, background): “Liang et al. (2001) presented sufficient optimality conditions and duality results, based on sublinear functionals and generalized convexity, for a class of nonlinear fractional programming problems.”
• A survey of recent developments in multiobjective optimization (2007, methodology): “The following Duality results have been obtained by Liang et al. (2003).”
• Nondifferentiable Minimax Fractional Programming Problems with (C, α, ρ, d)-Convexity (2006, unknown): “By (12), (15)-( 17 ), and the convexity of C ,w e have”