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Direct search methods for influence maximization problems [PDF]
openThe influence maximization problem seeks to maximize the spread of influence in network structures. This challenging optimization task remains unsolved due to its combinatorial nature and computational complexity. In this thesis, we propose two novel
BERGAMASCHI, MATTEO
core
BACKGROUND: A high-quality electronic search is essential for ensuring accuracy and comprehensiveness among the records retrieved when conducting systematic reviews. Therefore, we aimed to identify the most efficient method for searching in both MEDLINE
Enilze de Souza Nogueira Volpato +9 more
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Strategies for Online Information Search by University Students: the Relationship between Educational Use of the Internet and Cognitive Styles [PDF]
The paper presents the results of experimental study of students’ information searching strategies on the Internet. The study was aimed to analyze the relationship between university students’ strategies of information Internet search for educational ...
Panferov Vladimir +3 more
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Background “Carbon footprint” (CF) is a direct measure of greenhouse gas emissions caused by a defined activity and can demonstrate global warming effects.
Samaneh Abolli +3 more
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The paper considers an algorithm for the direct search for a nonparametric smooth histogram of the particle size distribution from small-angle X-ray and neutron scattering data. The features and details of the implementation of the method, which consists
Vladimir V. Volkov
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Worst case complexity of direct search
In this paper, we prove that the broad class of direct-search methods of directional type based on imposing sufficient decrease to accept new iterates shares the worst case complexity bound of steepest descent for the unconstrained minimization of a ...
L.N. Vicente
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In geophysical inverse problems, there are two approaches to data inversion. The first is the search for a number of unknowns by minimizing the residual function.
T.N. Kyshman-Lavanova
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Stochastic Direct Search Method for Blind Resource Allocation
Motivated by programmatic advertising optimization, we consider the task of sequentially allocating budget across a set of resources. At every time step, a feasible allocation is chosen and only a corresponding random return is observed. The goal is to maximize the cumulative expected sum of returns.
Achddou, Juliette +2 more
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Parallel Optimization Methods Based on Direct Search [PDF]
This paper is focused in the parallelization of Direct Search Optimization methods, which are part of the family of derivative-free methods. These methods are known to be quite slow, but are easily parallelizable, and have the advantage of achieving global convergence in some problems where standard Newton-like methods (based on derivatives) fail ...
Rafael A. Trujillo-Rasúa +2 more
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Directed search methods for surface structure determination by LEED [PDF]
Conventional surface crystallography by low-energy electron diffraction employs a trial-and-error search controlled at each step by a human being. This trial-and-error approach becomes very cumbersome and unreliable when it is applied to complex surfaces with a large number of unknown structural parameters.
Rous, P.J. +2 more
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