Results 31 to 40 of about 2,983,370 (285)

Model of the telegraph line and its numerical solution [PDF]

, 2018
This paper deals with a model of the telegraph line that consists of system of ordinary differential equations, rather than partial differential telegraph equation. Numerical solution is then based on an original mathematical method. This method uses the
Nečasová, Gabriela, Veigend, Petr, Šátek, Václav   +2 more
core   +1 more source

A Novel Variable Step Size Incremental Conductance Method with an Adaptive Scaling Factor

Applied Sciences, 2020
In this paper, a novel variable step size (VSS) incremental conductance (INC) method with an adaptive scaling factor is proposed. The proposed technique utilizes the model-based state estimation method to calculate the irradiance level and then determine
Man-Tsai Chuang, Yi-Hua Liu, Song-Pei Ye
doaj   +1 more source

Research on Variable-Step-Size Adaptive Filter Algorithm with a Momentum Term

Applied Sciences, 2023
To address the contradiction between the convergence error and convergence rate in the LMS algorithm, this study proposes a variable-step-size adaptive filter algorithm with a momentum term based on the logistic function.
Binbin Li, Bo Lu, Xiping Kou, Yang Shi, Li Yu, Hongtao Guo, Binbin Lv, Kaichun Zeng   +7 more
doaj   +1 more source

A kurtosis-driven variable step-size LMS algorithm

, 1996
Published ...
Constantinides, AG, Pazaitis, DI
core   +1 more source

Evaluation of second-level inference in fMRI analysis [PDF]

, 2015
We investigate the impact of decisions in the second-level (i.e., over subjects) inferential process in functional magnetic resonance imaging on (1) the balance between false positives and false negatives and on (2) the data-analytical stability, both ...
Loeys, Tom, Moerkerke, Beatrijs, Roels, Sanne   +2 more
core   +3 more sources

Efficient Test-based Variable Selection for High-dimensional Linear Models [PDF]

, 2018
Variable selection plays a fundamental role in high-dimensional data analysis. Various methods have been developed for variable selection in recent years.
Gong, Siliang, Liu, Yufeng, Zhang, Kai
core   +3 more sources

Random lasso [PDF]

, 2011
We propose a computationally intensive method, the random lasso method, for variable selection in linear models. The method consists of two major steps.
Nan, Bin, Rosset, Saharon, Wang, Sijian, Zhu, Ji   +3 more
core   +1 more source

The HIT Network for Children and Adolescents With CNS Tumors Facilitates Improvements of Diagnostic Assessments, Multimodal Treatments, Individual Counseling, and Research in Germany, Austria, and Switzerland

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background The HIT network was established in 2000 to create a population‐based structure aiming to improve survival rates and reduce late effects for children with central nervous system (CNS) tumors by conducting comprehensive clinical trials.
Stefan Rutkowski, Michael C. Frühwald, Gudrun Fleischhack, Stephan Tippelt, Pablo Hernáiz‐Driever, Olaf Witt, Astrid Gnekow, Christof Kramm, Matthias Eyrich, Johannes E. A. Wolf, Hermann Müller, Carsten Friedrich, Uwe R. Kordes, Denise Obrecht‐Sturm, Petra Ketteler, Barbara von Zezschwitz, Pascal Johann, Dominik Sturm, Karoline Nemes, Stefan Schönberger, Till Milde, Brigitte Bison, Monika Warmuth‐Metz, Torsten Pietsch, Ulrich Schüller, Arend Koch, David Capper, Martin Hasselblatt, Christian Thomas, Christian Hagel, Stefan M. Pfister, Felix Sahm, David T. W. Jones, Martin U. Schuhmann, Jürgen Krauss, Pedram Emami, Ahmed El Damaty, Rolf D. Kortmann, Rudolf Schwarz, Jürgen Debus, Mechthild Krause, Fabian Pohl, Holger Ottensmeier, Lisa Bußenius, Katja Baust, Andreas Faldum, Cecile Ronckers, Desiree Grabow, Martin Benesch, Thomas Perwein, Karin Dieckmann, Irene Slavc, Johannes Gojo, Nicolas U. Gerber, André O. von Bueren, Katrin Scheinemann, Gabriele Calaminus, Beate Timmermann, Ulrich‐Wilhelm Thomale, Martin Mynarek   +59 more
wiley   +1 more source

Defect Analysis of a Non-Iterative Co-Simulation

Mathematics, 2023
This article presents an analysis of co-simulation defects for a system of coupled ordinary differential equations. The research builds on the theorem that the co-simulation error is bounded if the co-simulation defect is bounded.
Slaven Glumac, Zdenko Kovačić
doaj   +1 more source

A fully implicit, fully adaptive time and space discretisation method for phase-field simulation of binary alloy solidification [PDF]

, 2007
A fully-implicit numerical method based upon adaptively refined meshes for the simulation of binary alloy solidification in 2D is presented. In addition we combine a second-order fully-implicit time discretisation scheme with variable steps size ...
Jimack, P.K., Mullis, A., Rosam, J.
core   +1 more source