Výsledky vyhledávání

Report

Primal-dual interior-point algorithm for linearly constrained convex optimization based on a parametric algebraic transformation

Autor: Kraria, Aicha, Merikhi, Bachir, Benterki, Djamel

In this paper, we present an interior point algorithm with a full-Newton step for solving a linearly constrained convex optimization problem, in which we propose a generalization of the work of Kheirfam and Nasrollahi \cite{kheirfam2018full}, that co

Externí odkaz: http://arxiv.org/abs/2403.11684

Zobrazit plný text záznamu

Akademický článek

Pediatric renal neoplasms (A clinicopathological study in pathology departments of Dr Sheikh children hospital and Imam Reza hospital in Mashhad during 15 years)

Autor: Zabolinejad N, Mirsadraee S, Hiradfar M, Badiee Z, Merikhi Ardabili A

Publikováno v: مجله دانشگاه علوم پزشکی گرگان, Vol 9, Iss 2, Pp 61-66 (2007)

Background&Objective: Pediatric renal tumors represent approximately 7% of all childhood cancers and are completely different from those occurring in adults. The aim of this study was to make an analysis of clinical and pathological characteristics o

Externí odkaz: https://doaj.org/article/098c81822e8f441398486f74b64bff48

Zobrazit plný text záznamu

Akademický článek

Trois exemples d’infections bactériennes cutanées

Autor: Francès, Pierre ^*, Merikhi, Adam, Halbout, Odile, Stoumen, Madeleine

Publikováno v: In L'aide-soignante April 2023 37(246):24-27

Zobrazit plný text záznamu

Akademický článek

Technical note: Novel triple O2 sensor aquatic eddy covariance instrument with improved time shift correction reveals central role of microphytobenthos for carbon cycling in coral reef sands

Autor: A. Merikhi, P. Berg, M. Huettel

Publikováno v: Biogeosciences, Vol 18, Pp 5381-5395 (2021)

The aquatic eddy covariance technique stands out as a powerful method for benthic O2 flux measurements in shelf environments because it integrates effects of naturally varying drivers of the flux such as current flow and light. In conventional eddy c

Externí odkaz: https://doaj.org/article/22ccf39c3f0747e9810095a09e7789c6

Zobrazit plný text záznamu

Akademický článek

Automatic Data Clustering Framework Using Nature-Inspired Binary Optimization Algorithms

Autor: Behnaz Merikhi, M. R. Soleymani

Publikováno v: IEEE Access, Vol 9, Pp 93703-93722 (2021)

Cluster analysis using metaheuristic algorithms has earned increasing popularity over recent years due to the great success of these algorithms in finding high-quality clusters in complex real-world problems. This paper proposes a novel framework for

Externí odkaz: https://doaj.org/article/8b8ada48894d4d2ea4fd68f19aa58670

Zobrazit plný text záznamu