Results 111 to 120 of about 13,068 (272)
Acceleration of Runge-Kutta integration schemes
A simple accelerated third-order Runge-Kutta-type, fixed time step, integration scheme that uses just two function evaluations per step is developed.
Phailaung Phohomsiri +1 more
doaj +1 more source
A Novel Hybrid Runge Kutta Optimizer with Support Vector Machine on Gene Expression Data for Cancer Classification. [PDF]
Houssein EH +3 more
europepmc +1 more source
Tax Progressivity, Public Debt, and Growth in a Neo‐Kaleckian Model
ABSTRACT We develop a neo‐Kaleckian growth‐and‐distribution model featuring two classes of workers and a progressive income tax. Two fiscal closures are considered: balanced budgets and deficit financing via public debt. We study the responses to shocks, including changes in functional income distribution, and assess how tax progressivity alters demand
Tailiny Ventura +2 more
wiley +1 more source
Implicit Pseudo-Runge-Kutta Processes
This paper derives some implicit hybrid methods which use function evaluations from the previous step and the current step together with those from one or two off-step points. With two off-step points, large intervals of absolute stability are obtained. Some inconclusive numerical examples are given.
openaire +2 more sources
Abstract figure legend Using a multiscale computational model of left ventricular electromechanics, we investigated how sarcomere dynamics influence the end‐systolic pressure‐volume (ESPV) relationship in ejecting beats compared to isovolumetric beats.
Francesco Regazzoni +2 more
wiley +1 more source
Abstract figure legend Stasis before and after left atrial appendage occlusion (LAAO) in participants with high stasis and low stasis. Stasis is predominantly located in LAA and reduced after LAAO. But in the participant with high stasis, stasis remains close to the occlusion site, indicating a potential risk for device related thrombi.
Sophia Bäck +6 more
wiley +1 more source
Discovery of nonlinear dynamical systems using a Runge-Kutta inspired dictionary-based sparse regression approach. [PDF]
Goyal P, Benner P.
europepmc +1 more source
Computational model of haemodynamics during atrial fibrillation
Abstract figure legend We developed a simplified computational model that replicates patient‐specific haemodynamics during both normal sinus rhythm and atrial fibrillation (AF). Our computational model comprises: (1) an electrical subsystem that generates unco‐ordinated atrial and irregular ventricular activation times characteristic of AF and (2) a ...
Felix Plappert +7 more
wiley +1 more source
Designing B1‐Selective Pulses by Frequency Modulating in a Second Rotating Frame
ABSTRACT Purpose To create a frequency‐modulated pulse for slice selection of arbitrary, uniform flip angle even when B0 and B1 are inhomogeneous, without utilizing B0 gradients Theory and Methods An amplitude‐modulated hyperbolic secant pulse (AMHS1) was derived from Hoult's B1‐selective imaging method which utilizes one component, B1y, as a gradient ...
Saurin Kantesaria +7 more
wiley +1 more source
The proposed work implements a direct flux reconstruction method for spatial discretization and a stiffness‐resilient exponential time integration method for temporal discretization on the cube‐sphere grid. A space‐time tensor formalism is employed to provide a general representation in any curvilinear coordinate system. This combination enables highly
Stéphane Gaudreault +6 more
wiley +1 more source

