Results 71 to 80 of about 758,138 (253)

Change Point Analysis for Functional Data Using Empirical Characteristic Functionals

Journal of Time Series Analysis, EarlyView.
ABSTRACT We develop a new method to detect change points in the distribution of functional data based on integrated CUSUM processes of empirical characteristic functionals. Asymptotic results are presented under conditions allowing for low‐order moments and serial dependence in the data establishing the limiting null‐distribution of the proposed test ...
Lajos Horváth, Gregory Rice, Jeremy VanderDoes   +2 more
wiley   +1 more source

Multiple Novels and Accurate Traveling Wave and Numerical Solutions of the (2+1) Dimensional Fisher-Kolmogorov- Petrovskii-Piskunov Equation

Mathematics, 2021
The analytical and numerical solutions of the (2+1) dimensional, Fisher-Kolmogorov-Petrovskii-Piskunov ((2+1) D-Fisher-KPP) model are investigated by employing the modified direct algebraic (MDA), modified Kudryashov (MKud.), and trigonometric-quantic B ...
Mostafa M. A. Khater, Aliaa Mahfooz Alabdali   +1 more
doaj   +1 more source

Smooth planar $r$-splines of degree $2r$

, 2006
In \cite{as}, Alfeld and Schumaker give a formula for the dimension of the space of piecewise polynomial functions (splines) of degree $d$ and smoothness $r$ on a generic triangulation of a planar simplicial complex $\Delta$ (for $d \ge 3r+1$) and any ...
Alfeld, Alfeld, Billera, Deng, Diener, Schenck, Schenck, Schenck, Schenck, Ştefan O. Tohaˇneanu   +9 more
core   +1 more source

PVRI‐GoDeep—A Global Meta‐Registry at the Crossroads of Heart and Lung

Comprehensive Physiology, Volume 16, Issue 2, April 2026.
PVRI GoDeep is a global meta‐registry that harmonizes high‐quality patient‐level data from pulmonary hypertension registries worldwide. With over 45,000 enrolees already included, it enables robust phenotyping, international comparisons, and clinically relevant research across all PH subgroups beyond the scope of single‐center or national datasets ...
Meike T. Fuenderich, Athiththan Yogeswaran, Patrick Janetzko, Khodr Tello, Werner Seeger, Raphael W. Majeed, Jochen Wilhelm, GoDeep Consortium, Mauro Acquaro, Imad Al Ghouleh, James Anderson, Jeffrey S. Annis, Anastasia Anthi, Alexandra Arvanitaki, Aparna Balasubramanian, Felix Ballmann, Harm Jan Bogaard, Evan Brittain, Hugh Buzacott, Hector R. Cajigas, John Cannon, Stephen Y. Chan, Victoria Damonte, Effrosyni Dima, Philipp Douschan, Nathan Dwyer, Diego Echazarreta, Christina A. Eichstaedt, Jean Elwing, Kai Förster, Robert Frantz, Marlize Frauendorf, Stefano Ghio, Hossein‐Ardeschir Ghofrani, George Giannakoulas, Friedrich Grimminger, Ekkehard Grünig, Lars Harbaum, Paul M. Hassoun, Melanie Heberling, Anne Hilgendorff, Luke Howard, Arun Jose, Ernesto Junaeda, David G. Kiely, Ingrid King, Hans Klose, Ziad Konswa, Gabor Kovacs, Philipp Krieb, Keiichiro Kuronuma, Edmund M. Lau, Melanie Lavender, Allan Lawrie, Mona Lichtblau, Kurt Marquardt, Hiromi Matsubara, Farhan Mubashir, Horst Olschewski, Mauricio Orozco‐Levi, Karen Osborn, Joanna Pepke‐Zaba, Alba Ramirez‐Sarmiento, Stephan Rosenkranz, Hani Sabbour, Sandeep Sahay, Khaled Saleh, Laura Scelsi, Yuriy Sirenko, Siva Sivakumaran, Andrew J. Sweatt, Thenappan Thenappan, Ioan Tilea, Olena Torbas, Silvia Ulrich, Andrea Varga, Helen M. Whitford, Christoph B. Wiedenroth, Martin R. Wilkins, Paul G. Williams, Shaun Yo, Roham T. Zamanian, Zhenguo Zhai, Zhu Zhang   +83 more
wiley   +1 more source

Fibonacci Wavelet Method for the Solution of the Non-Linear Hunter–Saxton Equation

Applied Sciences, 2022
In this article, a novel and efficient collocation method based on Fibonacci wavelets is proposed for the numerical solution of the non-linear Hunter–Saxton equation. Firstly, the operational matrices of integration associated with the Fibonacci wavelets
H. M. Srivastava, Firdous A. Shah, Naied A. Nayied   +2 more
doaj   +1 more source

A linear algebra approach to HP-splines frequency parameter selection [PDF]

, 2023
Rosanna Campagna, Costanza Conti, Salvatore Cuomo   +2 more
openalex   +1 more source

Adaptive Calculation Method of Line Loss of Distribution Network Based on Genetic Algorithm and Artificial Neural Network

Engineering Reports, Volume 8, Issue 4, April 2026.
A GA‐BP neural network model with optimized preprocessing and clustering reduces line loss calculation errors and improves efficiency in distribution networks. ABSTRACT Traditional methods for calculating distribution line losses often rely on complex mathematical models and extensive operational data, leading to cumbersome processes that struggle to ...
Tianjun Chen, Tao Deng, Junyang Wu, Ming Wen, Chengming Liu   +4 more
wiley   +1 more source

Equivariant toric geometry and Euler–Maclaurin formulae

Communications on Pure and Applied Mathematics, Volume 79, Issue 3, Page 451-557, March 2026.
Abstract We first investigate torus‐equivariant motivic characteristic classes of toric varieties, and then apply them via the equivariant Riemann–Roch formalism to prove very general Euler–Maclaurin‐type formulae for full‐dimensional simple lattice polytopes.
Sylvain E. Cappell, Laurenţiu Maxim, Jörg Schürmann, Julius L. Shaneson   +3 more
wiley   +1 more source

Multivariate spline and algebraic geometry

Journal of Computational and Applied Mathematics, 2000
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

A Bayesian Spatiotemporal Functional Model for Data With Block Structure and Repeated Measures

Environmetrics, Volume 37, Issue 2, March 2026.
ABSTRACT The analysis of spatiotemporal data is fundamental across multiple scientific disciplines, particularly in assessing the behavior of climate effects over space and time. A key challenge in this area is effectively capturing recurring climate phenomena, such as El Niño/La Niña (ENSO) phases, which induce prolonged periods of similar weather ...
David H. da Matta, Mariana R. Motta, Nancy L. Garcia, Alexandre B. Heinemann   +3 more
wiley   +1 more source