Results 101 to 110 of about 24,619 (260)
Variance Reduction for Faster Non-Convex Optimization
polished ...
Zeyuan Allen Zhu, Elad Hazan
openaire +3 more sources
Efficient and Robust Standing Postures of Quadruped Robots
A calibrated static framework estimates load, optimizes torques, and adapts posture so quadruped robots stand efficiently and robustly under external payloads, achieving up to 50% lower torque demand. Inspired by the natural posture adjustments of animals under external loading, this article presents an optimization‐based framework for minimizing joint
Mohamad Kanaan +5 more
wiley +1 more source
This work reports on the actuation behavior of CP‐based polypyrrole/PVdF TYs soaked in electrolyte/ionic liquids and woven actuators where such TYs are integrated. These studies are important toward the creation of on‐body applications such as wearable soft robotics, where textiles offer many advantages such as increased force, integrated electrical ...
Carin Backe +4 more
wiley +1 more source
Optimal Growth and Borrowing with Non-Convex Technology
This paper employs a simple intertemporal optimization model to analyze the optimal growth and borrowing for a small open economy with non-convex technology that imports intermediate inputs for production. Unlike other papers in the literature, this paper concludes that there is only one path for an open economy to achieve optimal growth: namely, the ...
openaire +2 more sources
For wireless powered mobile edge computing (MEC) network,a system computation energy efficiency (CEE) maximization scheme by considering the limited computation capacity at the MEC server side was proposed.Specifically,a CEE maximization optimization ...
Liqin SHI, Yinghui YE, Guangyue LU
doaj +2 more sources
Solid Harmonic Wavelet Bispectrum for Image Analysis
The Solid Harmonic Wavelet Bispectrum (SHWB), a rotation‐ and translation‐invariant descriptor that captures higher‐order (phase) correlations in signals, is introduced. Combining wavelet scattering, bispectral analysis, and group theory, SHWB achieves interpretable, data‐efficient representations and demonstrates competitive performance across texture,
Alex Brown +3 more
wiley +1 more source
On a Non-Convex Lagrange Optimal Control Problem
Abstract In this paper, we are concerned with an iterative differential inclusion governed by the time-dependent maximal monotone operator with perturbation. The approach to solve our problem is based on the Yosida approximation technique.
Attab, Sara +2 more
openaire +2 more sources
This study combines full‐field tomography with diffraction mapping to quantify radial (ε002$\varepsilon _{002}$) and axial (ε100$\varepsilon _{100}$) lattice strain in wrinkled carbon‐fiber specimens for the first time. Radial microstrain gradients (−14.5 µεMPa$\varepsilon \mathrm{MPa}$−1) are found to signal damage‐prone zones ahead of failure, which ...
Hoang Minh Luong +7 more
wiley +1 more source
Variance-reduced Clipping for Non-convex Optimization
Gradient clipping is a standard training technique used in deep learning applications such as large-scale language modeling to mitigate exploding gradients. Recent experimental studies have demonstrated a fairly special behavior in the smoothness of the training objective along its trajectory when trained with gradient clipping. That is, the smoothness
Amirhossein Reisizadeh +3 more
openaire +2 more sources
Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia +7 more
wiley +1 more source

