Results 71 to 80 of about 1,726,318 (276)
ABSTRACT In the present investigation, a mathematical model with vaccination, treatment, and environmental impact under real data is presented. Initially, we present the model without any interventions, followed by an examination of its equilibrium points.
Bashir Al‐Hdaibat +4 more
wiley +1 more source
Adjoint Algorithms for the Optimization of 3d Turbulent Configurations [PDF]
The solution of the discrete adjoint equations for an unstructured finite volume compressible Navier-Stokes solver is discussed. In previous work fixedpoint iterations taken from the non-linear method - suitably adjointed - were applied to the adjoint ...
Brezillon, Joel, Dwight, Richard
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An All‐At‐Once Solver for Visco‐Acoustic Full Waveform Inversion in the Time‐Domain
ABSTRACT Full waveform inversion (FWI) is the cutting‐edge seismic imaging technique used to reconstruct subsurface material properties such as wave velocities, mass density, and attenuation from measurements of reflected wavefields. In this article, we present the first implementation of FWI in the visco‐acoustic regime, based on a new time‐domain all‐
Christian Rheinbay, Andreas Rieder
wiley +1 more source
Shape Optimization Using the Aero-structural Coupled Adjoint Approach for Viscous Flows [PDF]
The aero-structural coupled adjoint approach here is an efficient approach to compute the gradients of the aerodynamic coefficients obtained from coupled fluid-structure simulations.
Brezillon, Joel, Abu-Zurayk, Mohammad
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ABSTRACT Purpose Brain MR elastography (MRE) is uniquely sensitive to subject motion, as even small phase deviations can produce large errors in the mechanical properties estimated. Existing motion correction strategies have not been validated for MRE and are often incompatible with complex multi‐shot or joint temporal reconstructions.
Zhuoyu Shi +2 more
wiley +1 more source
An adjoint for likelihood maximization
The process of likelihood maximization can be found in many different areas of computational modelling. However, the construction of such models via likelihood maximization requires the solution of a difficult multi-modal optimization problem involving ...
Bressloff, Neil W. +11 more
core +1 more source
Accelerated MR Elastography Using Learned Neural Network Representation
ABSTRACT Purpose To develop a deep‐learning method for achieving fast high‐resolution MR elastography from highly undersampled data without the need for high‐quality training datasets. Methods We first reframed the deep neural network representation as a nonlinear extension of the linear subspace model, then used it to represent and reconstruct MRE ...
Xi Peng
wiley +1 more source
On universal quantum dimensions
We represent in the universal form restricted one-instanton partition function of supersymmetric Yang–Mills theory. It is based on the derivation of universal expressions for quantum dimensions (universal characters) of Cartan powers of adjoint and some ...
R.L. Mkrtchyan
doaj +1 more source
On the Stiefel-Whitney classes of the adjoint representation of $E_8$
Let \(\widetilde{E_8}\) be the \(3\)-connected covering space of the simply connected Lie group \(E_8\). Let \(\pi_8: \widetilde{E_8} \to E_8\) be the covering map and \(\pi_8^*: H^*(Be_8) \to H^*(B\widetilde{E_8})\) be the induced map between the \(\mathbb{Z}_2\) cohomology of the classifying spaces.
openaire +4 more sources
The proportional representation review.
Continued as a department of: Direct legislation record and the proportional representation review."A quarterly magazine, devoted to the reformation of the method of electing representatives."Title from cover.Mode of access: Internet.Revived and absorbed
American Proportional Representation League.
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