Results 11 to 20 of about 806,737 (291)
A Scale-Adaptive TENO Scheme based on a New Smoothness Indicator [PDF]
This work presents a new smoothness indicator for the Targeted Essentially Non-Oscillatory (TENO) scheme based on the generalized undivided difference method. Furthermore, to prevent excessive numerical dissipation in the low and intermediate wavenumbers,
Velmani Murugesan, Manoj Nair
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A smoothness indicator for numerical solutions to the Ripa model
The Ripa model is the system of shallow water equations taking the water temperature fluctuations into account. For one-dimensional case, the Ripa model consists of three partial differential equations relating to three primitive variables, namely water depth, velocity, and temperature.
Sudi Mungkasi, Stephen Gwyn Roberts
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Background: Patients with knee osteoarthritis can significantly affect the function of the knee joint in terms of joint range and mobility and have a stereotypical pattern of knee stiffness during gait, caused by an increased resistance in the muscles ...
Takashi Fukaya +3 more
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Construction of an Improved Third-Order WENO Scheme with a New Smoothness Indicator
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Youngsoo Ha +3 more
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The weighted ENO scheme based on the modified smoothness indicator
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
윤정호, 이연주
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The missing censoring indicator model and the smoothed bootstrap [PDF]
For right censored data with missing censoring indicators, sub-density function kernel estimators play a significant role for estimating a survival function. Data-driven bandwidths for computing these kernel estimators are proposed. The bandwidths are obtained as minimizers of certain estimates of the mean integrated squared error (MISE).
Sundarraman Subramanian, Derek Bean
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SmoothI: Smooth Rank Indicators for Differentiable IR Metrics
Information retrieval (IR) systems traditionally aim to maximize metrics built on rankings, such as precision or NDCG. However, the non-differentiability of the ranking operation prevents direct optimization of such metrics in state-of-the-art neural IR models, which rely entirely on the ability to compute meaningful gradients.
Thonet, Thibaut +4 more
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Testing multiple inequality hypotheses: A smoothed indicator approach [PDF]
This paper proposes a class of origin-smooth approximators of indicators underlying the sum-of-negative-part statistic for testing multiple inequalities. The need for simulation or bootstrap to obtain test critical values is thereby obviated. A simple procedure is enabled using fixed critical values. The test is shown to have correct asymptotic size in
Le-Yu Chen, Jerzy Szroeter
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Method for calculating the integral mobility index of wheeled all-terrain vehicles based on the multi-criteria optimization method [PDF]
Among the existing variety the problem of comparison of several samples of automotive equipment capable of performing their functions under certain conditions and under the specified operating conditions often arises, and, consequently, the problem of ...
Mazunova L.N. +4 more
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A Neural Network-Based Mesh Quality Indicator for Three-Dimensional Cylinder Modelling
Evaluating mesh quality prior to performing the computational fluid dynamics (CFD) simulation is an essential step to ensure the acceptable accuracy of cylinder modelling.
Xinhai Chen +4 more
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