Works matching AU Iakymchuk, Roman

Results: 10

Gauss‐Newton‐Secant method for solving nonlinear least squares problems.

Published in:

PAMM: Proceedings in Applied Mathematics & Mechanics, 2018, v. 18, n. 1, p. 1, doi. 10.1002/pamm.201800228

By:

Iakymchuk, Roman;
Yarmola, Halyna;
Shakhno, Stepan

Publication type:

Article

Combined Newton-Kurchatov method for solving nonlinear operator equations.

Published in:

PAMM: Proceedings in Applied Mathematics & Mechanics, 2016, v. 16, n. 1, p. 719, doi. 10.1002/pamm.201610348

By:

Iakymchuk, Roman;
Shakhno, Stepan;
Yarmola, Halyna

Publication type:

Article

Methods with Successive and Parallel Approximations of Inverse Operator for the Nonlinear Least Squares Problem.

Published in:

PAMM: Proceedings in Applied Mathematics & Mechanics, 2015, v. 15, n. 1, p. 569, doi. 10.1002/pamm.201510274

By:

Iakymchuk, Roman;
Shakhno, Stepan

Publication type:

Article

On the Convergence Analysis of a Two-Step Modification of the Gauss-Newton Method.

Published in:

PAMM: Proceedings in Applied Mathematics & Mechanics, 2014, v. 14, n. 1, p. 813, doi. 10.1002/pamm.201410387

By:

Iakymchuk, Roman;
Shakhno, Stepan

Publication type:

Article

Gauss–Newton–Secant Method for Solving Nonlinear Least Squares Problems under Generalized Lipschitz Conditions.

Published in:

Axioms (2075-1680), 2021, v. 10, n. 3, p. 158, doi. 10.3390/axioms10030158

By:

Argyros, Ioannis K.;
Shakhno, Stepan;
Iakymchuk, Roman;
Yarmola, Halyna;
Argyros, Michael I.

Publication type:

Article

A taxonomy of task-based parallel programming technologies for high-performance computing.

Published in:

Journal of Supercomputing, 2018, v. 74, n. 4, p. 1422, doi. 10.1007/s11227-018-2238-4

By:

Thoman, Peter;
Dichev, Kiril;
Heller, Thomas;
Iakymchuk, Roman;
Aguilar, Xavier;
Hasanov, Khalid;
Gschwandtner, Philipp;
Lemarinier, Pierre;
Markidis, Stefano;
Jordan, Herbert;
Fahringer, Thomas;
Katrinis, Kostas;
Laure, Erwin;
Nikolopoulos, Dimitrios S.

Publication type:

Article

General framework for re-assuring numerical reliability in parallel Krylov solvers: A case of bi-conjugate gradient stabilized methods.

Published in:

International Journal of High Performance Computing Applications, 2024, v. 38, n. 1, p. 17, doi. 10.1177/10943420231207642

By:

Iakymchuk, Roman;
Graillat, Stef;
Aliaga, José I.

Publication type:

Article

Reproducibility of parallel preconditioned conjugate gradient in hybrid programming environments.

Published in:

International Journal of High Performance Computing Applications, 2020, v. 34, n. 5, p. 502, doi. 10.1177/1094342020932650

By:

Iakymchuk, Roman;
Vayá, Maria Barreda;
Graillat, Stef;
Aliaga, José I;
Quintana-Ortí, Enrique S

Publication type:

Article

Hierarchical approach for deriving a reproducible unblocked LU factorization.

Published in:

International Journal of High Performance Computing Applications, 2019, v. 33, n. 5, p. 791, doi. 10.1177/1094342019832968

By:

Iakymchuk, Roman;
Graillat, Stef;
Defour, David;
Quintana-Ortí, Enrique S;
Mascagni, Michael

Publication type:

Article

Interoperability strategies for GASPI and MPI in large-scale scientific applications.

Published in:

International Journal of High Performance Computing Applications, 2019, v. 33, n. 3, p. 554, doi. 10.1177/1094342018808359

By:

Simmendinger, Christian;
Iakymchuk, Roman;
Cebamanos, Luis;
Akhmetova, Dana;
Bartsch, Valeria;
Rotaru, Tiberiu;
Rahn, Mirko;
Laure, Erwin;
Markidis, Stefano;
Mencagli, Gabriele;
França, Felipe MG;
Bentes, Cristiana Barbosa;
Justen Marzulo, Leandro Augusto;
Lima Pilla, Mauricio;
Wyrzykowski, Roman;
Deelman, Ewa

Publication type:

Article