Results 71 to 80 of about 31,410,548 (207)
Galerkin v. least-squares Petrov-Galerkin projection in nonlinear model reduction [PDF]
Journal of Computational Physics, 2015 Least-squares Petrov--Galerkin (LSPG) model-reduction techniques such as the Gauss--Newton with Approximated Tensors (GNAT) method have shown promise, as they have generated stable, accurate solutions for large-scale turbulent, compressible flow problems
K. Carlberg, Matthew B. Jones, H. Antil
semanticscholar +1 more source
Passive Skyhook Suspension Reduction for Improvement of Ride Comfort in an Off-Road Vehicle
IEEE Access, 2019 With the use of Routh stability criterion and Pade approximation technique to simplify the passive skyhook damping suspension system, a full-car model involving the reduced-order ISD suspension was established for the analysis of ride comfort.
Jiamei Nie +3 more
doaj +1 more source
Driving the Model to Its Limit: Profile Likelihood Based Model Reduction. [PDF]
PLoS One, 2016 In systems biology, one of the major tasks is to tailor model complexity to information content of the data. A useful model should describe the data and produce well-determined parameter estimates and predictions. Too small of a model will not be able to
Maiwald T +10 more
europepmc +2 more sources
MathematicsWe present a method for 3D gravity inversion using ellipsoidal parametrization and Particle Swarm Optimization (PSO), aimed at estimating the geometry, density contrast, and orientation of subsurface bodies from gravity anomaly data.
Ruben Escudero González +3 more
doaj +1 more source
On the Simulation of Kinetic Theory Models of Complex Fluids Using the Fokker-Planck Approach
Applied Rheology, 2007 Models of kinetic theory provide a coarse-grained description of molecular configurations wherein atomistic processes are ignored. The Fokker-Planck equation related to the kinetic theory descriptions must be solved for the distribution function in both ...
Mokdad B. +3 more
doaj +1 more source
Principia: an international journal of epistemology, 2009 . In this paper, I examine three models of reduction. The first, and the most restrictive, is the model developed by Ernest Nagel as part of the logical empiricist program. The second, articulated by Jerry Fodor, is significantly broader, but it seems unable to make sense of a salient feature of scientific practice.
openaire +5 more sources
Nature, 1986 Neurophilosophy: Toward a Unified Science of the Mind–Brain. By Patricia Smith Churchland. MIT Press: 1986. Pp.546. 27.50,27.50.
openaire +1 more source
Model Order Reduction for Nonlinear IC Models [PDF]
, 2009 Model order reduction is a mathematical technique to transform nonlinear dynamical models into smaller ones, that are easier to analyze. In this paper we demonstrate how model order reduction can be applied to nonlinear electronic circuits. First we give an introduction to this important topic. For linear time-invariant systems there exist already some
Verhoeven, A. +3 more
openaire +3 more sources
Model Reduction By Kautz Filters
, 1996 Publication in the conference proceedings of EUSIPCO, Trieste, Italy ...
openaire +3 more sources
CPT: Pharmacometrics & Systems PharmacologyTarget‐mediated drug disposition (TMDD) is often associated with high‐affinity binding to a target resulting in nonlinear pharmacokinetics. For large molecules, such as monoclonal antibodies, this can lead to increased clearance at sub‐saturating ...
Ronny Straube
doaj +1 more source