Suchergebnisse - "parallel algorithm"

A Fuzzy-Model-Based Approach to Optimal Control for Nonlinear Markov Jump Singularly Perturbed Systems: A Novel Integral Reinforcement Learning Scheme von Shen, Hao, Wang, Yun, Wang, Jing, Park, Ju H.

“… A fuzzy-model-based approach is developed to investigate the reinforcement learning-based optimization for nonlinear Markov jump singularly perturbed systems …”
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Pseudoarboricity-Based Skyline Important Community Search in Large Networks von Jiang, Jiaqi, Li, Rong-Hua, Lin, Longlong, Zhang, Yalong, Zeng, Yue, Ye, Xiaowei, Wang, Guoren

“… Important communities are densely connected subgraphs containing vertices with high importance values, which have received wide attention recently. However, …”
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Mining Summaries for Knowledge Graph Search von Song, Qi, Wu, Yinghui, Lin, Peng, Dong, Luna Xin, Sun, Hui

“… Querying heterogeneous and large-scale knowledge graphs is expensive. This paper studies a graph summarization framework to facilitate knowledge graph search …”
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Faster Parallel Core Maintenance Algorithms in Dynamic Graphs von Hua, Qiang-Sheng, Shi, Yuliang, Yu, Dongxiao, Jin, Hai, Yu, Jiguo, Cai, Zhipen, Cheng, Xiuzhen, Chen, Hanhua

“… This article studies the core maintenance problem for dynamic graphs which requires to update each vertex's core number with the insertion/deletion of …”
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Evolving Generalizable Parallel Algorithm Portfolios for Binary Optimization Problems via Domain-Agnostic Instance Generation von Wang, Zhiyuan, Liu, Shengcai, Yang, Peng, Tang, Ke

“… Generalization is the core objective when training optimizers from data. However, limited training instances often constrain the generalization capability of …”
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MnnFast: A Fast and Scalable System Architecture for Memory-Augmented Neural Networks von Jang, Hanhwi, Kim, Joonsung, Jo, Jae-Eon, Lee, Jaewon, Kim, Jangwoo

“… Memory-augmented neural networks are getting more attention from many researchers as they can make an inference with the previous history stored in memory …”
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Core Maintenance in Dynamic Graphs: A Parallel Approach Based on Matching von Jin, Hai, Wang, Na, Yu, Dongxiao, Hua, Qiang-Sheng, Shi, Xuanhua, Xie, Xia

“… The core number of vertices is a basic index depicting cohesiveness of a graph, and has been widely used in large-scale graph analytics. In this paper, we …”
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A Shared-Memory Parallel Alpha-Tree Algorithm for Extreme Dynamic Ranges von Ryu, Jiwoo, Trager, Scott C., Wilkinson, Michael H. F.

“… The <inline-formula> <tex-math notation="LaTeX">\alpha </tex-math></inline-formula>-tree is an effective hierarchical image representation used for connected …”
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Scalable Single Source Shortest Path Algorithms for Massively Parallel Systems von Chakaravarthy, Venkatesan T., Checconi, Fabio, Murali, Prakash, Petrini, Fabrizio, Sabharwal, Yogish

“… We consider the single-source shortest path (SSSP) problem: given an undirected graph with integer edge weights and a source vertex <inline-formula><tex-math …”
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Revisiting Core Maintenance for Dynamic Hypergraphs von Hua, Qiang-Sheng, Zhang, Xiaohui, Jin, Hai, Huang, Hong

“… Core maintenance for dynamic hypergraphs has been receiving an increasing attention. However, existing works mainly focus on the insertion/deletion of …”
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Accurate and parallel simulation of the anisotropic dendrite crystal growth by Lagrangian data assimilation with directional operator splitting von Zheng, Fenglian, Wang, Yan, Xiao, Xufeng

“… Dendritic crystal growth is a prevalent natural phenomenon that generates a crystalline structure resembling a tree during a phase transition. In practical …”
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Optimal surrogate boundary selection and scalability studies for the shifted boundary method on octree meshes von Yang, Cheng-Hau, Saurabh, Kumar, Scovazzi, Guglielmo, Canuto, Claudio, Krishnamurthy, Adarsh, Ganapathysubramanian, Baskar

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ParVoro++: A scalable parallel algorithm for constructing 3D Voronoi tessellations based on kd-tree decomposition von Wu, Guoqing, Tian, Hongyun, Lu, Guo, Wang, Wei

“… The Voronoi tessellation is a fundamental geometric data structure which has numerous applications in various scientific and technological fields. For large …”
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Diagonal Quadratic Approximation for Decentralized Collaborative TSO+DSO Optimal Power Flow von Mohammadi, Ali, Mehrtash, Mahdi, Kargarian, Amin

“… Collaborative operation of electricity transmission and distribution systems improves the economy and reliability of the entire power system. However, this is …”
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Parallel attribute reduction in dominance-based neighborhood rough set von Chen, Hongmei, Li, Tianrui, Cai, Yong, Luo, Chuan, Fujita, Hamido

“… The amount of data collected from different real-world applications is increasing rapidly. When the volume of data is too large to be loaded to memory, it may …”
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A Work Efficient Parallel Algorithm for Exact Euclidean Distance Transform von Manduhu, Manduhu, Jones, Mark W.

“… A fully-parallelized work-time optimal algorithm is presented for computing the exact Euclidean Distance Transform (EDT) of a 2D binary image with the size of …”
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A parallel multi-objective evolutionary algorithm for community detection in large-scale complex networks von Su, Yansen, Zhou, Kefei, Zhang, Xingyi, Cheng, Ran, Zheng, Chunhou

“… Community detection in large-scale complex networks has recently received significant attention as the volume of available data is becoming larger. The use of …”
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A parallel Newton-type method for nonlinear model predictive control von Deng, Haoyang, Ohtsuka, Toshiyuki

“… A parallel Newton-type method for nonlinear model predictive control is presented that exploits the particular structure of the associated discrete-time …”
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A Parallel Iterative hybrid Gauss–Jacobi–Seidel method von Menezes, Matheus da Silva, Silva, Paulo Henrique Lopes, Oliveira, João Paulo Caraú de, Andrade Marques, Raimundo Leandro, Mezzomo, Ivan

“… In this paper, we introduce a new iterative hybrid method to find the solution of linear algebraic systems based on the Gauss–Jacobi and Gauss–Seidel methods, …”
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A Scalable Parallel Algorithm for 3-D Magnetotelluric Finite Element Modeling in Anisotropic Media von Zhu, Xiaoxiong, Liu, Jie, Cui, Yian, Gong, Chunye

“… 3-D magnetotelluric (MT) forward modeling has always been faced with the problems of high memory requirements and long computing time. In this article, we …”
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