Ariana Pitea
Politehnica University of Bucharest
28 Papers
147 Citations
Ariana Pitea is an academic researcher from Politehnica University of Bucharest. The author has contributed to research in topics: Fixed point & Metric space. The author has an hindex of 11, co-authored 24 publications.
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Papers
Some coupled fixed point theorems in quasi-partial metric spaces
Wasfi Shatanawi,Ariana Pitea +1 more
TL;DR: In this article, the authors study coupled fixed point results in a quasi-partial metric space, and introduce some examples to support the useability of their results, and show that the results can be used to obtain a similar result.
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Duality theorems for a new class of multitime multiobjective variational problems
Ariana Pitea,Mihai Postolache +1 more
TL;DR: A new class of multitime multiobjective variational problems of minimizing a vector of functionals of curvilinear integral type is considered, and weak duality theorems are given, proving that the value of the objective function of the primal cannot exceed thevalue of the dual.
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Fixed and coupled fixed point theorems of omega-distance for nonlinear contraction
Wasfi Shatanawi,Ariana Pitea +1 more
TL;DR: In this paper, the notion of Ω-distance in the sense of Saadati et al. (Math. Comput. Model. 52:797-801, 2010) was used to construct and prove some fixed and coupled fixed point theorems in a complete G-metric space for a nonlinear contraction.
Best Proximity Point and Best Proximity Coupled Point in a Complete Metric Space with (P)-Property
Wasfi Shatanawi,Ariana Pitea +1 more
TL;DR: In this article, the authors utilize the concept of (P)-property, weak (P-property) and the comparison function to introduce and prove an existence and uniqueness theorem of a best proximity point.
Minimization of vectors of curvilinear functionals on the second order jet bundle: sufficient efficiency conditions
Ariana Pitea,Mihai Postolache +1 more
TL;DR: The present work introduces a study of sufficient efficiency conditions in an optimization theory for the second order jet bundle, thought as multi-time multi-objective variational problems, subject to PDE and/or PDI constraints.
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