Profils utilisateurs correspondant à "Josip Matejas"
 | Josip MatejašUniversity of Zagreb Faculty of Economics and Business Adresse e-mail validée de efzg.unizg.hr Cité 230 fois |
A new iterative method for solving multiobjective linear programming problem
J Matejaš, T Perić - Applied mathematics and computation, 2014 - Elsevier
In the paper we present a new iterative method for solving multiobjective linear programming
problems with an arbitrary number of decision makers. The method is based on the …
problems with an arbitrary number of decision makers. The method is based on the …
Accuracy of the Jacobi method on scaled diagonally dominant symmetric matrices
J Matejaš - SIAM journal on matrix analysis and applications, 2009 - SIAM
This paper proves that the two-sided Jacobi method computes the eigenvalues of the
indefinite symmetric matrix to high relative accuracy, provided that the initial matrix is scaled …
indefinite symmetric matrix to high relative accuracy, provided that the initial matrix is scaled …
Accuracy of two SVD algorithms for 2× 2 triangular matrices
A new algorithm for the accurate computation of the singular value decomposition of 2×2
triangular matrices is proposed. The algorithm is based on Voevodin formulas. Sharp accuracy …
triangular matrices is proposed. The algorithm is based on Voevodin formulas. Sharp accuracy …
Comparative analysis of application efficiency of two iterative multi objective linear programming methods (MP method and STEM method)
In this paper we consider a production plan optimization problem for a company that produces
textile products. The problem is solved using two iterative methods: a new method based …
textile products. The problem is solved using two iterative methods: a new method based …
Convergence of scaled iterates by the Jacobi method
J Matejaš - Linear algebra and its applications, 2002 - Elsevier
A quadratic convergence bound for scaled iterates by the serial Jacobi method for Hermitian
positive definite matrices is derived. By scaled iterates we mean the matrices [diag(H (k) )] −…
positive definite matrices is derived. By scaled iterates we mean the matrices [diag(H (k) )] −…
Multi-objective programming methodology for solving economic diplomacy resource allocation problem
D Mlinarić, T Perić, J Matejaš - Croatian operational research review, 2019 - hrcak.srce.hr
Economic diplomacy is an important prerequisite for achieving the economic goals of any
country. The issue is worth analysing from several aspects. Since there is a lack of literature in …
country. The issue is worth analysing from several aspects. Since there is a lack of literature in …
Accuracy of the Kogbetliantz method for scaled diagonally dominant triangular matrices
The paper proves that Kogbetliantz method computes all singular values of a scaled diagonally
dominant triangular matrix, which can be well scaled from both sides symmetrically, to …
dominant triangular matrix, which can be well scaled from both sides symmetrically, to …
Accuracy of one step of the Falk-Langemeyer method
J Matejaš - Numerical algorithms, 2015 - Springer
We present a new subtle technique in accuracy analysis which we use to prove the accuracy
of the Falk-Langemeyer method for solving a real definite generalized eigenvalue problem …
of the Falk-Langemeyer method for solving a real definite generalized eigenvalue problem …
[PDF][PDF] Scaled iterates by Kogbetliantz method
… Josip Matejaš∗ and Vjeran Hari† … Matejaš, Quadratic convergence of scaled iterates
by diagonalization methods, Ph.D. thesis, University of Zagreb, Zagreb, 1996. … Matejaš …
by diagonalization methods, Ph.D. thesis, University of Zagreb, Zagreb, 1996. … Matejaš …
[LIVRE][B] Quadratic convergence of scaled iterates by Kogbetliantz method
A sharp quadratic convergence bound of scaled iterates for the serial Kogbetliantz method
is derived. Iterates are symmetrically scaled by diagonal matrices so that diagonal elements …
is derived. Iterates are symmetrically scaled by diagonal matrices so that diagonal elements …