Results 131 to 140 of about 943 (215)
Computing Skinning Weights via Convex Duality
We present an alternate optimization method to compute bounded biharmonic skinning weights. Our method relies on a dual formulation, which can be optimized with a nonnegative linear least squares setup. Abstract We study the problem of optimising for skinning weights through the lens of convex duality.
J. Solomon, O. Stein
wiley +1 more source
Hierarchical Differentiable Fluid Simulation
We introduce a two‐step algorithm that significantly reduces memory usage for solving control problems using differentiable fluid simulation techniques: our method first optimizes for bulk forces at reduced resolution, then refines local details over sub‐domains while maintaining differentiability. In trading runtime for memory, it enables optimization
Xiangyu Kong +4 more
wiley +1 more source
A Survey of Methods for Constructing 3D Urban Models From Point Clouds
The survey outlines a general process for constructing 3D models from point clouds and categorizes the methods based on their use of templates, basic surface primitives, hybrid approaches, or linear primitives. Additionally, the survey reviews the datasets and benchmarks that are essential for testing and training the developed methods.
Chiara Romanengo +5 more
wiley +1 more source
The Effects of Nutrient Additions on Kokanee in Dworshak Reservoir, Idaho
ABSTRACT We investigated the effects of whole reservoir nitrogen (N) addition on kokanee growth in Dworshak Reservoir, Idaho. We hypothesized that N addition would improve the growth of kokanee (Oncorhynchus nerka) at a given level of abundance by increasing the availability of Daphnia, an important food source.
Sean M. Wilson +5 more
wiley +1 more source
Abstract Numerical modeling has been widely used to assess the feasibility of geothermal energy development at sites across the world, but modeling applications simulating the potential impacts on shallow hydrothermal resources and surface water are relatively scarce. In this study, we apply the MODFLOW 6 groundwater energy (GWE) code to simulate fully
Michael J. Rush +5 more
wiley +1 more source
When in Doubt, Tax More Progressively? Uncertainty and Progressive Income Taxation
ABSTRACT We study the optimal income tax problem under parameter uncertainty about household preferences and wage dynamics. We derive conditions characterizing how such uncertainty affects optimal tax policy. To quantify the effect, we estimate a life‐cycle model using US data and a Bayesian approach.
Minsu Chang, Chunzan Wu
wiley +1 more source
ABSTRACT Although the use of AI technologies (e.g., chatbots and automated writing evaluations (AWE)) has gained considerable attention in language learning fields in recent years, how AI technologies have been designed and implemented in language learning education, as well as their effectiveness, is understudied.
Shen Qiao +2 more
wiley +1 more source
Inter‐disciplinary perspectives on sustainability in machinery manufacturing
Abstract Perspectives on economic, social and environmental sustainability in machinery manufacturing are changing. These are predominantly driven by increased consumer, firm and public knowledge on the importance of sustainability and the role that machinery manufacturers can play to achieve sustainability outcomes.
Oluwaseun E. Olabode +5 more
wiley +1 more source
An Attachment and Multi‐Target Perspective on Organisational Commitment of Early Career Starters
ABSTRACT Establishing strong organisational commitment among early career starters such as apprentices, trainees, and dual‐study students is of central interest to companies' HR strategies for developing and retaining skilled workforces. To explain how commitment emerges, attachment theory offers a useful conceptual lens, as it provides an established ...
Jutta Bloem +2 more
wiley +1 more source
Specification Tests for Jump‐Diffusion Models Based on the Characteristic Function
Summary Goodness‐of‐fit tests are suggested for several popular jump‐diffusion processes. The suggested test statistics utilise the marginal characteristic function of the model and its L2‐type discrepancy from an empirical counterpart. Model parameters are estimated either by minimising the aforementioned L2‐type discrepancy or by maximum likelihood ...
Gerrit Lodewicus Grobler +3 more
wiley +1 more source

