Results 61 to 70 of about 2,699 (199)
Distributed optimal design brings significant solutions for experiment optimization in complex engineering design problems. A Kriging-based augmented Lagrangian Method is proposed with the help of the Multi-fidelity Hamiltonian Kriging (MHK) surrogate ...
Shixuan Zhang, Jie Ma
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Dynamic Wave Trains: A Procedural Approach to Spatially Varying Ocean Synthesis
In this paper, we present a high performance procedural model capable of synthesizing and rendering a virtually infinite ocean. Our method exhibits spatial variations as the orientations, speed and choppiness of the waves is parametrized for each frequencies and each point in space. The provided visual abstract exhibits a sunset rendering of a large 40
Romain Fournier +4 more
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Dynamic Modeling of Robotic Manipulator via an Augmented Deep Lagrangian Network
Learning the accurate dynamics of robotic systems directly from the trajectory data is currently a prominent research focus. Recent physics-enforced networks, exemplified by Hamiltonian neural networks and Lagrangian neural networks, demonstrate ...
Shuangshuang Wu +3 more
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This study focuses on formulation of the Augmented Lagrangian and application of the Uzawa's algorithm to solve the homogenization problem of microscopic periodic media as in composites.
Ngoc-Trung Nguyen +2 more
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Beyond Spherical Harmonics: Rethinking Appearance Models for Radiance Reconstruction
Abstract View‐dependent appearance modeling remains a challenging problem in novel‐view synthesis and reconstruction. Accurately representing complex angular effects often requires substantial memory and computational resources. For new learning‐based methods, a common approach is to rely on Spherical Harmonics (SH).
Ewa Miazga, Jorge Condor, Piotr Didyk
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This paper uses an augmented Lagrangian method based on an inexact exponential penalty function to solve constrained multiobjective optimization problems. Two algorithms have been proposed in this study.
Appolinaire Tougma, Kounhinir Some
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Vehicle Lateral Control Based on Augmented Lagrangian DDPG Algorithm
This paper studies the safe trajectory tracking control of intelligent vehicles, which is still an open and challenging problem. A deep reinforcement learning algorithm based on augmented Lagrangian safety constraints is proposed to the lateral control ...
Zhi Li, Meng Wang, Haitao Zhao
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Augmented Lagrangian method for a total variation-based model for demodulating phase discontinuities
In this work, we reformulate the method presented in App. Opt. 53:2297 (2014) as a constrained minimization problem using the augmented Lagrangian method.
Ricardo Legarda-Saenz +1 more
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Dam Management in the Era of Climate Change
ABSTRACT Climate change has a dramatic impact, particularly by concentrating rainfall into a few short periods, interspersed with long dry spells. In this context, the role of dams is crucial. We consider the optimal control of a dam, where the water level must neither exceed a designated safety threshold nor fall below a minimum level to ensure ...
Cristina Di Girolami +3 more
wiley +1 more source
A new family of models with generalized orientation in data envelopment analysis
Abstract In the framework of data envelopment analysis, we review directional models and show that they are inadequate when inputs and outputs are improved simultaneously under constant returns to scale. Conversely, we introduce a new family of quadratically constrained models with generalized orientation and demonstrate that these models overcome this
Vicente J. Bolós +2 more
wiley +1 more source

