Results 81 to 90 of about 1,264 (229)
Duality results on mathematical programs with vanishing constraints involving generalized invex functions [PDF]
, 2023 Bhuwan Chandra Joshi
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Journal of Function Spaces, Volume 2024, Issue 1, 2024.The extension of interval‐valued and real‐valued functions known as fuzzy interval‐valued function (FIVF) has made substantial contributions to the theory of interval analysis. In this article, we explore the importance of h‐Godunova‐Levin fuzzy convex and preinvex functions and also develop the new generation of the Hermite‐Hadamard and trapezoid‐type
Yaqun Niu +8 more
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G-pre-invex functions in mathematical programming
Journal of Computational and Applied Mathematics, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Multiple Kernel Learning: A Unifying Probabilistic Viewpoint [PDF]
, 2011 We present a probabilistic viewpoint to multiple kernel learning unifying well-known regularised risk approaches and recent advances in approximate Bayesian inference relaxations.
Nickisch, Hannes, Seeger, Matthias
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Journal of Mathematics, Volume 2024, Issue 1, 2024.The theory of inequalities is greatly influenced by interval‐valued concepts, and this contribution is explored from several perspectives and domains. The aim of this note is to develop several mathematical inequalities such as Hermite–Hadamard, Fejér, and the product version based on center radius CR‐order relations.
Zareen A. Khan +4 more
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PROPER AND ISOLATED EFFICIENCIES IN MULTIOBJECTIVE OPTIMIZATION PROBLEMS
Tạp chí Khoa học Đại học Đà Lạt, 2012 We employ some advanced tools of variational analysis and generalised differentiation such as the nonsmooth version of Fermat's rule, the limiting sub-differential of maximum functions, and the sum rules for the Frechet and Mordukhovich sub-differentials
Thái Doãn Chương
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Pre-invex functions in multiple objective optimization
Journal of Mathematical Analysis and Applications, 1988 A class of functions, called pre-invex, is examined in relation to multiple objective optimization. These functions may be considered as a generalization of convexity and when differentiable are invex. It is shown that, in most places, any assumption of convexity in multiple objective optimization may be replaced by the weaker assumption of pre ...
Weir, T, Mond, B
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On constraint qualifications with generalized convexity and optimality conditions [PDF]
This paper deals with a multiobjective programming problem involving both equality constraints in infinite dimensional spaces. It is shown that some constraint qualifications together with a condition of interior points are sufficient conditions for the ...
Do Van Luu, Manh-Hung Nguyen
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Decision analysis: vector optimization theory [PDF]
, 1999 First published in Revista de la Real Academia de Ciencias Exactas, Físicas y Naturales in 93, 4, 1999, published by the Real Academia de Ciencias Exactas, Físicas y ...
Osuna Gómez, Rafaela +2 more
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Results in Control and OptimizationIn this paper, we introduce a new class of generalized (h,φ)-G-type I vector-valued functions, by combining the notions of (h,φ)-differentiable functions, G-invex functions, and type I functions.
Tareq Saeed +3 more
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