Generalized Invex Functions (Φ-Univexity) in Mathematical Programming

This paper generalizes the theory of invex functions by introducing an operator-based framework termed Φ-Univexity (Φ-Univexity). Φ-Univex functions are de-fined through an increasing transformation operator and a generalized directionalmapping, providing a unified inequality structure that encompasses convex, invex,pseudo-invex, quasi-invex, hybrid-invex, and ratio-invex functions as special cases.The framework explicitly accommodates non-smooth optimization via subgradientsand yields sufficient global optimality conditions under standard constraint quali-fications. The proposed generalization offers a coherent and flexible foundation formodern optimization problems arising in engineering, physics, and applied sciences.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-17
DOI
https://doi.org/10.5281/zenodo.22811203
Primary Topic
Advanced Optimization Algorithms Research
Type
article
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article

Generalized Invex Functions (Φ-Univexity) in Mathematical Programming

DR. ZULFIQAR ALI KHAN, Sabir Siddiqui
Zenodo (CERN European Organization for Nuclear Research)
Advanced Optimization Algorithms Research
article

Generalized Invex Functions (Φ-Univexity) in Mathematical Programming

DR. ZULFIQAR ALI KHAN, Sabir Siddiqui
article en

Abstract

This paper generalizes the theory of invex functions by introducing an operator-based framework termed Φ-Univexity (Φ-Univexity). Φ-Univex functions are de-fined through an increasing transformation operator and a generalized directionalmapping, providing a unified inequality structure that encompasses convex, invex,pseudo-invex, quasi-invex, hybrid-invex, and ratio-invex functions as special cases.The framework explicitly accommodates non-smooth optimization via subgradientsand yields sufficient global optimality conditions under standard constraint quali-fications. The proposed generalization offers a coherent and flexible foundation formodern optimization problems arising in engineering, physics, and applied sciences.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Openalex Percentile: Top 8%
Advanced Optimization Algorithms Research
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