A5101953232- Probabilistic and Robust Engineering Design
- Advanced Numerical Methods in Computational Mathematics
- Optimization and Variational Analysis
- Advanced Optimization Algorithms Research
- Advanced Multi-Objective Optimization Algorithms
- Fixed Point Theorems Analysis
- Matrix Theory and Algorithms
- Model Reduction and Neural Networks
- Multimedia Communication and Technology
- Electromagnetic Scattering and Analysis
- Fluid Dynamics Simulations and Interactions
- Advanced Image Fusion Techniques
- Scientific Computing and Data Management
- High-Velocity Impact and Material Behavior
- Contact Mechanics and Variational Inequalities
- Parallel Computing and Optimization Techniques
- Transportation Safety and Impact Analysis
- Cryptography and Data Security
- Distributed and Parallel Computing Systems
- Gaussian Processes and Bayesian Inference
- High-Voltage Power Transmission Systems
- Smart Grid and Power Systems
- Advanced Banach Space Theory
- Image and Signal Denoising Methods
- Metaheuristic Optimization Algorithms Research
Hunan University
2011-2022
Southwest Jiaotong University
2004-2016
Peking University
2015
Nanchang University
2011-2013
Abstract The purpose of this article is to introduce two iterative algorithms for finding the least norm fixed point nonexpansive mappings. We provide algorithms, one implicit and another explicit, from which strong convergence theorems are obtained in Hilbert spaces. Then we apply these solve some convex optimization problems. Furthermore, use them split feasibility results extend improve several presented literature recent past. Mathematics Subject Classification (2000): 47H09; 47H10; 90C25.
The purpose of this article is to improve the convergence efficiency traditional efficient global optimization method. Furthermore, we try a graphics processing unit–based parallel computing method for both mathematical and practical engineering problems. First, propose multiple-data-based algorithm instead multiple-surrogates-based algorithm. Second, novel general-purpose technology adopted accelerate solution our Third, hybrid approach using OpenMP compute unified device architecture...
Purpose The purpose of this paper is to improve the computational speed solving nonlinear dynamics by using parallel methods and mixed-precision algorithm on graphic processing units (GPUs). efficiency traditional central (CPUs)-based computer aided engineering software has been difficult satisfy needs scientific research practical engineering, especially for dynamic problems. Besides, when calculations are performed GPUs, double-precision operations slower than single-precision operations....
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Transport Layer Security (TLS) protocol aims to provide confidentiality and integrity of data across untrusted networks. TLS supports several encryption options, including the RC4 stream cipher. Recent years, there is a growing interest for crypto researchers do cryptanalysis on algorithm, they comprehensive view cryptanalysis. This paper presents new method based big processing technique analyze security RC4. We drive powerful cluster execute analyzing program, which invokes algorithm...
Abstract We prove several strong convergence theorems for the Ishikawa iterative sequence with errors to a fixed point of strictly pseudocontractive mapping Browder-Petryshyn type in Banach spaces and give sufficient necessary conditions scheme mapping. The results presented this work an affirmative answer open question raised by Zeng et al. 2006, generalize corresponding result Osilike Udomene 2001, others.
Mobile phones are becoming more common, people has higher requirement about the quality of pictures that captured by handheld device, in order to reduce noise image, we studied prediction network (KPN) denoising algorithm, overcome disadvantage low efficiency traditional convolution receptive field, a deformable kernel (DEF_KPN) algorithm for burst images is proposed this paper. The structure used preprocess so can generate pixel-by-pixel filter core suitable image structure, as make contour...