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Bifurcation plot for the second large g approximation

Variational Methods for NLEV Approximation Near a Bifurcation Point

Variational Methods for NLEV Approximation Near a Bifurcation Point

... the second variable, but plainly is not 1-homogeneous any longer except when fx, s axs, a ∈ L ∞ Ω, in which case of course we would be dealing with a linear perturbation of a linear problem: see for this 31 or ...

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Bifurcation Analysis of Large Networks of Neurons

Bifurcation Analysis of Large Networks of Neurons

... closure approximation (section ...The approximation that dominates the error is a separation of time scales, as will be shown by numerical simula- ...

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A Large and Giant Bifurcation Aneurysm Model in Canines: Proof of Feasibility

A Large and Giant Bifurcation Aneurysm Model in Canines: Proof of Feasibility

... aneurysm (25 mm or greater), 18,19 we believe that the aneu- rysms created and described in this report would serve as suit- able surrogates for a “giant” aneurysm. In this study, the mean value of all the aneurysm ...

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LDG APPROXIMATION OF LARGE DEFORMATIONS OF PRESTRAINED PLATES

LDG APPROXIMATION OF LARGE DEFORMATIONS OF PRESTRAINED PLATES

... for large deformations of prestrained plates con- sists of minimizing a second order bending energy subject to a nonconvex metric ...the second fundamental form of the middle plate and the later is a ...

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The harmonic balance method for bifurcation analysis of large-scale nonlinear mechanical systems

The harmonic balance method for bifurcation analysis of large-scale nonlinear mechanical systems

... Among all methods in the frequency domain, harmonic balance (HB) is certainly the most widely used method. It is also known as the Fourier–Galerkin method, since it consists in the application of the Galerkin method with ...

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A General Approximation-Optimization Approach to Large Margin Estimation of HMMs

A General Approximation-Optimization Approach to Large Margin Estimation of HMMs

... general Approximation-optiMization (AM) approach for large margin estimation (LME) of Gaussian mixture HMMs in speech ...The second method uses E-approx and can be applied to large vocabulary ...

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Large scale propagating disturbances: approximation by vertical normal modes

Large scale propagating disturbances: approximation by vertical normal modes

... the second shear mode, in contrast, while still dominated by westward propagation at lower latitudes, shows a gyrelike structure at latitudes above 30 8 ...

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The second curvature correction for the straight  segment approximation of periodic vortex wakes

The second curvature correction for the straight segment approximation of periodic vortex wakes

... a second correction when the periodicity returns the vortex to the proximity of the point at which the velocity is ...the second correction by modelling the helical far wake of a wind turbine as an infinite ...

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A Two-Stage Approximation for Analysis of Mixture Genetic Models in Large Pedigrees

A Two-Stage Approximation for Analysis of Mixture Genetic Models in Large Pedigrees

... In this article, we investigate a two-stage, approximate analysis that uses information from both LD and cosegregation. In the first stage, ordered genotypes of markers are sampled conditional only on the observed, ...

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SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks

SVD-Softmax: Fast Softmax Approximation on Large Vocabulary Neural Networks

... softmax approximation, hierarchical soft- max architecture, and self-normalization ...the second level hierarchy were the words themselves, not the classes of the third ...

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Weak approximation of G-expectations

Weak approximation of G-expectations

... so-called G-expectation [ 12–14 ] is a nonlinear expectation advancing the notions of backward stochastic differential equations (BSDEs) [ 10 ] and g-expectations [ 11 ]; see also [ 2 , 16 ] for a related ...

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An approximation for the average waiting time in a G/G/c queue

An approximation for the average waiting time in a G/G/c queue

... 3/E2/2 Queue.. This approximation overestimates the average waiting time but improves in accuracy as p increases. Table 2 shows th~ av.rage waiting time in the E3/E2/2 ~ueue as giv.n by [r] ...

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Towards automatic exploration of bifurcation diagrams for large-scale applications

Towards automatic exploration of bifurcation diagrams for large-scale applications

... • 3 months beforee the end of your defense, your supervisor asks you to demonstrate scalability on a heterogenous supercomputer.... al • PyNCT/HPC > enumath'19.[r] ...

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Figure 33: Measurement accuracies for the measurements shown in Fig.32 (top. plot and second plot from top).

Figure 33: Measurement accuracies for the measurements shown in Fig.32 (top. plot and second plot from top).

... cantly broader than expected, and the signal-to-background ratio in terms of counting rate was decreased from the ideal value of 6:1 to about 3:1. In summary, the time necessary for a complete measurement of such a ...
Second-order approximation for adaptive regression estimators.

Second-order approximation for adaptive regression estimators.

... a second best choice, and our analysis shows how the estimator is affected by these parameters+ We shall try to minimize the second-order term t 2 T 5 h n q B 1 n 2102 h n 2302 V, which is mean zero and has ...

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Fast Approximation of Steiner Trees in Large Graphs

Fast Approximation of Steiner Trees in Large Graphs

... graph G is limited in all cases to exploring of few hundreds of ...extremely large number of nodes that they visit during the query ...prohibitedly large running times for our graphs, plotted in ...

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Multilayered Structures under large Bending: Finite Solution and Bifurcation Analysis

Multilayered Structures under large Bending: Finite Solution and Bifurcation Analysis

... the bifurcation bending angle of the uncoated structure, a find- ing fully consistent with the solutions obtained employing a surface coating model by Dryburgh and Ogden and Gei and Ogden, ...of bifurcation ...

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Large Scale Corpus Driven PCFG Approximation of an HPSG

Large Scale Corpus Driven PCFG Approximation of an HPSG

... grammar approximation for a lin- guistically deep Head-driven Phrase Struc- ture ...a large- scale automatically annotated corpus, we are able to achieve parsing accuracy higher than the original HPSG-based ...

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Approximation of interactive betweenness centrality in large complex networks

Approximation of interactive betweenness centrality in large complex networks

... In this subsection, we describe more details on how to determine k based on current GCC in each iteration. If k is small, few nodes are removed from current GCC, which requires more iterations and higher computational ...

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Approximation Vector Machines for Large-scale Online Learning

Approximation Vector Machines for Large-scale Online Learning

... a large budget makes the model fit better to data but may dramatically slow down the training ...kernel approximation, excessive number of random features is required which could lead to a serious ...

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