Results 11 to 20 of about 799,975 (268)

An optimization of Chebyshev’s method

Journal of Complexity, 2009
From Chebyshev's method, new third-order multipoint iterations are constructed with their efficiency close to that of Newton's method and the same region of accessibility. © 2009 Elsevier Inc. All rights reserved.
J. A. Ezquerro, Miguel Ángel Hernández-Verón   +1 more
openaire   +4 more sources

Optimal Triangulation Method is Not Really Optimal

CoRR, 2021
9 pages, 13 ...
Seyed-Mahdi Nasiri, Reshad Hosseini, Hadi Moradi   +2 more
openaire   +2 more sources

Binarization of features based on frequency discretization for clustering tasks [PDF]

ITM Web of Conferences
This paper explores the transformation of heterogeneous features, including continuous data, into binary form using frequency discretization. This method is particularly beneficial for clustering tasks, as binary features simplify the interpretation of ...
Masich Igor, Shkaberina Guzel, Masich Danila   +2 more
doaj   +1 more source

Recurrent Neural Network Models Based on Optimization Methods

Mathematics, 2022
Many researchers have addressed problems involving time-varying (TV) general linear matrix equations (GLMEs) because of their importance in science and engineering.
Predrag S. Stanimirović, Spyridon D. Mourtas, Vasilios N. Katsikis, Lev A. Kazakovtsev, Vladimir N. Krutikov   +4 more
doaj   +1 more source

Implementation of a hybrid method for optimizing traffic light phases using Anylogic [PDF]

ITM Web of Conferences
Traffic light interval signals have been operating according to the same pattern for many years. Small towns do not create traffic control units due to high costs. The operation of a traffic light is limited to several modes or has constant values of the
Stupin Artem, Stasiuk Vladislav, Shagaeva Olga   +2 more
doaj   +1 more source

A Modified Dai–Liao Conjugate Gradient Method Based on a Scalar Matrix Approximation of Hessian and Its Application

Journal of Mathematics, 2023
We introduce and investigate proper accelerations of the Dai–Liao (DL) conjugate gradient (CG) family of iterations for solving large-scale unconstrained optimization problems.
Branislav Ivanov, Gradimir V. Milovanović, Predrag S. Stanimirović, Aliyu Muhammed Awwal, Lev A. Kazakovtsev, Vladimir N. Krutikov   +5 more
doaj   +1 more source

Continuation Methods for Riemannian Optimization

SIAM Journal on Optimization, 2022
Numerical continuation in the context of optimization can be used to mitigate convergence issues due to a poor initial guess. In this work, we extend this idea to Riemannian optimization problems, that is, the minimization of a target function on a Riemannian manifold.
Axel Séguin, Daniel Kressner
openaire   +3 more sources

Model of the influence of weather conditions on car traffic (using the example of weather conditions in Siberia) [PDF]

ITM Web of Conferences
The purpose of the study is to build a model of the influence of weather and climatic factors on the throughput of various types of roads and intersections. Weather conditions affect the acceleration, braking and stability of a vehicle on the road.
Stupin Artem, Dubovik Natalia, Shagaeva Olga   +2 more
doaj   +1 more source

Unsupervised feature selection in binarization of real attributes for conceptual clustering [PDF]

ITM Web of Conferences
This paper proposes an approach for processing noisy data to form homogeneous subgroups of objects based on Formal Concept Analysis (FCA). The approach involves binary encoding of heterogeneous features and unsupervised feature selection using the ...
Shkaberina Guzel, Masich Igor, Markushin Egor, Kraeva Ekaterina   +3 more
doaj   +1 more source

Minimal Rank Properties of Outer Inverses with Prescribed Range and Null Space

Mathematics, 2023
The purpose of this paper is to investigate solvability of systems of constrained matrix equations in the form of constrained minimization problems.
Dijana Mosić, Predrag S. Stanimirović, Spyridon D. Mourtas   +2 more
doaj   +1 more source