Zobrazeno 1 - 10
of 89
pro vyhledávání: '"Marko D. Petković"'
Autor:
Zoran Perić, Aleksandar Marković, Nataša Kontrec, Jelena Nikolić, Marko D. Petković, Aleksandra Jovanović
Publikováno v:
Mathematics, Vol 10, Iss 19, p 3590 (2022)
The Gaussian Q-function has considerable applications in numerous areas of science and engineering. However, the fact that a closed-form expression for this function does not exist encourages finding approximations or bounds of the Q-function. In thi
Externí odkaz:
https://doaj.org/article/08a84e5f58eb486bac001094e4d637d0
Publikováno v:
Abstract and Applied Analysis, Vol 2012 (2012)
This paper discusses the importance of starting point in the simplex algorithm. Three different methods for finding a basic feasible solution are compared throughout performed numerical test examples. We show that our two methods on the Netlib test p
Externí odkaz:
https://doaj.org/article/528f7c71e6b24a8a9618bdd6dbc7a3dc
Publikováno v:
Applied Mathematics and Computation. 355:385-398
We propose an algorithm for solving the basis pursuit problem min u ∈ C n { ∥ u ∥ 1 : A u = f } . Our starting motivation is the algorithm for compressed sensing, proposed by Qiao, Li and Wu, which is based on linearized Bregman iteration with
Publikováno v:
Composites Part B: Engineering. 167:631-642
The stochastic stability of parametric vibrations of an isolated symmetric cross-ply laminated plate system is investigated in this paper. The mechanical model of the plate system is given as a symmetric cross-ply laminated plate viscoelastically con
Publikováno v:
European Journal of Mechanics - A/Solids. 75:367-380
This study investigates the stability problem of multiple oscillators moving uniformly along a shear-deformable beam resting on a viscoelastic foundation. The main purpose of the research is justified by the fact that the system can become unstable b
Publikováno v:
Neural Processing Letters. 50:321-339
It was shown that the multiplication of the left hand side of the classical Zhang neural network design rule by an appropriate positive definite matrix generates a new neural design with improved convergence rate. Our intention is to apply similar pr
Publikováno v:
Mathematical Methods in the Applied Sciences. 42:1786-1794
Publikováno v:
Journal of Computational and Applied Mathematics. 344:572-584
We present a general scheme for the construction of new efficient generalized Schultz iterative methods for computing the inverse matrix and various matrix generalized inverses. These methods have the form X k + 1 = X k p ( A X k ) , where A is m ×