Abstract: This paper proposes a dynamic parameter iterative optimization framework for off-grid direction-of-arrival (DOA) estimation in the presence of unknown mutual coupling (MC). By exploiting the ...
A joint research team between the Center for Quantum Information and Quantum Biology (QIQB) at The University of Osaka and ...
ABSTRACT: The nearly analytic discretization of the frequency-domain wave equation produces large-scale, sparse, and ill-conditioned linear system, which challenge conventional iterative solvers. To ...
The latest study published in Engineering has unveiled a groundbreaking approach to advancing green ethylene manufacturing, with profound implications for global sustainable chemical production.
Abstract: To successfully reconstruct the strong scatterers with high contrast in electromagnetic inverse scattering problems (ISPs), this letter proposes a region iteration method (RIM) based on the ...
Popular Reinforcement Fine-Tuning (RFT) methods, e.g., Group Relative Policy Optimization (GRPO), are limited by data preparation bottlenecks (e.g., noise or high cost) and exhibit unstable ...
Text-to-SQL translation, the task of transforming natural language queries into structured SQL statements, is essential for facilitating user-friendly database interactions. However, the task involves ...
Beck, A. (2017) First-Order Methods in Optimization. Society for Industrial and Applied Mathematics.
ABSTRACT: The alternating direction method of multipliers (ADMM) and its symmetric version are efficient for minimizing two-block separable problems with linear constraints. However, both ADMM and ...
Every day, researchers search for optimal solutions. They might want to figure out where to build a major airline hub. Or to determine how to maximize return while minimizing risk in an investment ...
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