Results 101 to 110 of about 9,271,467 (193)
This work investigates the exact and accurate approximate series solutions of the strongly nonlinear wave-like differential equations of fractional order with variable coefficients utilizing the Laplace residual power series technique in the 2D, and 3D ...
Mohammad Alaroud +4 more
doaj +1 more source
Abstract The 2025 Santorini–Amorgos seismic crisis in Greece had an exceptionally large number and sustained rate of moderate‐sized earthquakes. We used a machine‐learning‐based earthquake monitoring workflow to detect and relocate 66,109 earthquakes and interpret the results in the context of global analogs.
Xing Tan +4 more
wiley +1 more source
Transformada de Laplace: algumas aplicações [PDF]
TCCP (especialização) - Universidade Federal de Santa Catarina. Programa de Pós-Graduação em Matemática.Equações que envolvem funções e suas derivadas são ditas diferenciais.
Pacheco, Antonio Luiz Schalata
core
Abstract Full‐waveform inversion (FWI) relies on sequential‐source (SQ) workflows for high imaging precision, while simultaneous‐source (SML) encoding drastically accelerates computation but introduces irreversible wavenumber discontinuity artifacts in hybrid‐domain implementations.
Jinwei Fang +4 more
wiley +1 more source
A Residual-Based LM Test for Fractional Cointegration [PDF]
Nonstationary fractionally integrated time series may possibly be fractionally cointegrated. In this paper we propose a test for the null hypothesis of no cointegration.
Breitung, Jörg, Hassler, Uwe
core
Transformada de Laplace: uma introdução com aplicações [PDF]
TCCP (especialização) - Universidade Federal de Santa Catarina.Este trabalho pretende abordar uma transformação especial do Cálculo Diferencial e Integral, denominada de Transformada de Laplace, apresentando, inicialmente, sua definição formal que, para ...
Abreu Junior, Valmei
core
Abstract Machine learning offers a flexible route to constitutive modeling, with two emergent questions for geoscience applications: what level of thermodynamic constraint should be embedded in the network architecture, and how should predictive uncertainty be quantified when extrapolating from laboratory to field conditions? We address both challenges
Kangan Li +3 more
wiley +1 more source
ABSTRACT Induction motors (IMs) are widely used in industry for their robustness and cost‐effectiveness, yet their nonlinear and multivariable dynamics pose significant challenges for high‐performance speed control. Model Predictive Control (MPC) is a well‐established solution but suffers from limitations related to model accuracy and parameter ...
Asier del Rio +4 more
wiley +1 more source
ABSTRACT We develop a unified mathematical framework extending classical moment theory from discrete integer orders to a continuous spectrum of real orders f>0$$ f>0 $$, providing a systematic statistical characterization of complex systems exhibiting power‐law behavior.
Farrukh A. Chishtie
wiley +1 more source
Measuring the error of dynamic hedging: a Laplace transform approach [PDF]
We compute the expected value and the variance of the discretization error of delta hedging and of other strategies in the presence of proportional transaction costs.
Flavio Angelini, Stefano Herzel
core

