E-LIB Suche - Ergebnisse für: Nedialkov, Nedialko S.

1

A Port-Hamiltonian, Index $$\le 1$$, Structurally Amenable ..:

, In: Scientific Computing in Electrical Engineering; Mathematics in Industry,

Scholz, Lena ; Pryce, John ; Nedialkov, Nedialko - p. 23-31 , 2024

Link: https://doi.org/10.1007/..

2

An Hermite-Obreschkoff method for stiff high-index DAE:

Zolfaghari, Reza ; Nedialkov, Nedialko S.
BIT Numerical Mathematics. 63 (2023) 1 - p. , 2023

Link: https://doi.org/10.1007/..

3

An Energy-Based, Always Index $\leq$ 1 and Structurally Ame..:

Nedialkov, Nedialko ; Pryce, John D. ; Scholz, Lena
SIAM Journal on Scientific Computing. 44 (2022) 4 - p. B1122-B1147 , 2022

Link: https://doi.org/10.1137/..

4

Stepsize selection in the rigorous defect control of Taylor..:

Ernsthausen, John M. ; Nedialkov, Nedialko S.
Journal of Computational and Applied Mathematics. 368 (2020) - p. 112483 , 2020

Link: https://doi.org/10.1016/..

5

Structural analysis of linear integral-algebraic equations:

Zolfaghari, Reza ; Nedialkov, Nedialko S.
Journal of Computational and Applied Mathematics. 353 (2019) - p. 243-252 , 2019

Link: https://doi.org/10.1016/..

6

How AD can help solve differential-algebraic equations:

Pryce, John D. ; Nedialkov, Nedialko S. ; Tan, Guangning.
Optimization Methods and Software. 33 (2018) 4-6 - p. 729-749 , 2018

Link: https://doi.org/10.1080/..

7

Conversion methods for improving structural analysis of dif..:

Tan, Guangning ; Nedialkov, Nedialko S. ; Pryce, John D.
BIT Numerical Mathematics. 57 (2017) 3 - p. 845-865 , 2017

Link: https://doi.org/10.1007/..

8

How AD Can Help Solve Differential-Algebraic Equations:

Pryce, John D ; Nedialkov, Nedialko S ; Tan, Guangning.
http://arxiv.org/abs/1703.08914. , 2017

Link: http://arxiv.org/abs/170..

9

Conversion Methods, Block Triangularization, and Structural..:

Tan, Guangning ; Nedialkov, Nedialko S ; Pryce, John D
http://arxiv.org/abs/1608.06693. , 2016

Link: http://arxiv.org/abs/160..

10

Conversion Methods for Improving Structural Analysis of Dif..:

Tan, Guangning ; Nedialkov, Nedialko S ; Pryce, John D
http://arxiv.org/abs/1608.06691. , 2016

Link: http://arxiv.org/abs/160..

11

Algorithm 948: DAESA—A Matlab Tool for Structural Analysis ..:

Nedialkov, Nedialko S. ; Pryce, John D. ; Tan, Guangning
ACM Transactions on Mathematical Software. 41 (2015) 2 - p. 1-14 , 2015

Link: https://doi.org/10.1145/..

12

Algorithm 948 : DAESA—A Matlab Tool for Structural Analy..:

Nedialkov, Nedialko S. ; Pryce, John D. ; Tan, Guangning
ACM Transactions on Mathematical Software (TOMS). 41 (2015) 2 - p. 1-14 , 2015

Link: https://dl.acm.org/doi/1..

13

DAESA—A Matlab Tool for Structural Analysis of Differential..:

Pryce, John D. ; Nedialkov, Nedialko S. ; Tan, Guangning
ACM Transactions on Mathematical Software. 41 (2015) 2 - p. 1-20 , 2015

Link: https://doi.org/10.1145/..

14

DAESA—A Matlab Tool for Structural Analysis of Differential..:

Pryce, John D. ; Nedialkov, Nedialko S. ; Tan, Guangning
ACM Transactions on Mathematical Software (TOMS). 41 (2015) 2 - p. 1-20 , 2015

Link: https://dl.acm.org/doi/1..

15

Exploiting Fine Block Triangularization and Quasilinearity ..:

Nedialkov, Nedialko S ; Tan, Guangning ; Pryce, John D
http://arxiv.org/abs/1411.4128. , 2014

Link: http://arxiv.org/abs/141..