A5109105105- Advanced Optimization Algorithms Research
- Iterative Methods for Nonlinear Equations
- Optimization and Variational Analysis
- Sparse and Compressive Sensing Techniques
- Silicon Carbide Semiconductor Technologies
- Numerical methods in inverse problems
- Semiconductor materials and devices
- Advancements in Semiconductor Devices and Circuit Design
- Mathematical Biology Tumor Growth
- Precipitation Measurement and Analysis
- Electromagnetic Scattering and Analysis
- Smart Grid and Power Systems
- Neurosurgical Procedures and Complications
- Radio, Podcasts, and Digital Media
- MXene and MAX Phase Materials
- Electrostatic Discharge in Electronics
- Engineering Applied Research
- Topology Optimization in Engineering
- Dynamics and Control of Mechanical Systems
- Intergenerational Family Dynamics and Caregiving
- Graphene research and applications
- Numerical methods for differential equations
- Distributed Control Multi-Agent Systems
- Transportation and Mobility Innovations
- Spinal Dysraphism and Malformations
Nanjing University of Science and Technology
2025
Nanjing University of Posts and Telecommunications
2024
Zhejiang University
2024
Chinese Academy of Sciences
1998-2014
Academy of Mathematics and Systems Science
2001-2014
State Key Laboratory of Scientific and Engineering Computing
2002
Conjugate gradient methods are widely used for unconstrained optimization, especially large scale problems. The strong Wolfe conditions usually in the analyses and implementations of conjugate methods. This paper presents a new version method, which converges globally, provided line search satisfies standard conditions. on objective function also weak, being similar to those required by Zoutendijk condition.
Journal Article R‐linear convergence of the Barzilai and Borwein gradient method Get access Yu‐Hong Dai, Dai Search for other works by this author on: Oxford Academic Google Scholar Li‐Zhi Liao IMA Numerical Analysis, Volume 22, Issue 1, 1 January 2002, Pages 1–10, https://doi.org/10.1093/imanum/22.1.1 Published: 01 2002
Journal Article Alternate minimization gradient method Get access Yu‐Hong Dai, Dai Search for other works by this author on: Oxford Academic Google Scholar Ya‐Xiang Yuan IMA of Numerical Analysis, Volume 23, Issue 3, July 2003, Pages 377–393, https://doi.org/10.1093/imanum/23.3.377 Published: 01 2003
Abstract Over the past two decades since discovery of graphene, there is significant interest in two‐dimensional (2D) layered materials. However, nonlayered materials, which are far more abundant, remain underexplored. By shifting focus to 2D variety materials not only expanded but also explores advanced technologies and uncovers potential new phenomena. In this paper, recent developments reviewed controlled synthesis using chemical vapor deposition (CVD) techniques their applications...
Summary Z‐eigenvalues of tensors, especially extreme ones, are quite useful and related to many problems, such as automatic control, quantum physics, independent component analysis. For supersymmetric calculating the smallest/largest Z‐eigenvalue is equivalent solving a global minimization/maximization problem homogenous polynomial over unit sphere. In this paper, we utilize sequential subspace projection method (SSPM) find corresponding Z‐eigenvectors. The main idea SSPM form 2‐dimensional...
In this paper, we propose a three-parameter family of conjugate gradient methods for unconstrained optimization. The not only includes the already existing six practical nonlinear methods, but subsumes some other families as its subfamilies. With Powell's restart criterion, with strong Wolfe line search is shown to ensure descent property each direction. Some general convergence results are also established methods. This paper can be regarded brief review on
This paper proposes a cross-scale simulation approach for evaluating the steady-state electrothermal performance of power MOSFETs at device-package-heatsink-board (DPHB) level. A co-simulation framework is designed by employing iterative process loss and chip temperature to bridge device package-heatsink-board (PHB) level simulators. As result, coupling effect within multilevel settings considered. Correspondingly, variation values in temperature-dependent drain current can be obtained...
Augmented Lagrangian (AL) methods are a well known class of algorithms for solving constrained optimization problems. They have been extended to the solution saddle-point systems linear equations. We study an AL (SPAL) algorithm unsymmetric and derive convergence semi-convergence properties, even when system is singular. At each step, our SPAL requires exact same size but with SPD (2,2) block. To improve efficiency, we introduce inexact algorithm. establish its properties under reasonable...
In power system electro-mechanical transients, wind with electronic interface is more capable of controlling active compared to synchronous generator, but less voltage. Wind beneficial transient rotor angle stability because it improves the deceleration detrimental voltage stability. A mechanism inducing instability studied. When proportion in increases, dominant problem changes from stability, and first gets better then worse.