Theoretical Computer Science
40th National Conference, NCTCS 2022, Changchun, China, July 29-31, 2022, Revised Selected Papers
(Sprache: Englisch)
This book constitutes the refereed proceedings of the 40th National Conference on Theoretical Computer Science, NCTCS 2022, held in Changchun, China, during July 29-31, 2022.
The 13 full papers and 6 short papers included in this book were carefully...
The 13 full papers and 6 short papers included in this book were carefully...
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Produktinformationen zu „Theoretical Computer Science “
Klappentext zu „Theoretical Computer Science “
This book constitutes the refereed proceedings of the 40th National Conference on Theoretical Computer Science, NCTCS 2022, held in Changchun, China, during July 29-31, 2022.The 13 full papers and 6 short papers included in this book were carefully reviewed and selected from 58 submissions. They were organized in topical sections as follows: computational theory and model; approximation algorithms; artificial intelligence; and system and resource scheduling.
Inhaltsverzeichnis zu „Theoretical Computer Science “
Computational Theory and Model.- General-nondeterministic fuzzy pushdown automata and their languages.- Joint Degree Distribution of Growing Multiplex Network Model with Nonlinear Preferential Attachment Rule.- Coherence of Quantum States based on Mutually Unbiased Bases.- Determining the Sampling Size with Maintaining the Probability Distribution.- Approximation Algorithms.- The polynomial randomized algorithm to compute bounded degree graphs for TSP based on frequency quadrilaterals.- An approximation algorithm for the minimum soft capacitated disk multi-coverage problem.- A 1/2 approximation algorithm for energy constrained geometric covering problem.- Artificial Intelligence.- MixHop Graph WaveNet for traffic forecasting.- A Brief Discussion on the Reform of Mathematics Teaching in Artificial Intelligence Majors - Taking Matrix Computation and Optimization as Examples.- Improved Spotted Hyena Optimizer fused with multiple strategies.- Regularized Framework on Heterogeneous Hypergraph Model for Personal Recommendation.- Hybrid Pre-training based on Masked Autoencoders for Medical Image Segmentation.- Deep Transfer Learning based Risk Prediction Model for Infectious Disease.- A Data-Driven Framework For Crack Paths Propagation.- System and Resource Scheduling.- A modified list scheduling algorithm for the online hierarchical load balancing problem with bounded processing times.- An Improved ACS Algorithm by CA for Task Scheduling in Heterogeneous Multiprocessing Environments.- On the parameterized tractability of single machine scheduling with rejection to minimize the weighted makespan.- Multi-resource allocation in mobile edge computing systems: A trade-off on fairness and efficiency.- Maximin share based mechanisms for multi-resource fair allocation with divisible and indivisible tasks.
Bibliographische Angaben
- 2022, 1st ed. 2022, XII, 273 Seiten, 47 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Herausgegeben: Zhiping Cai, Yijia Chen, Jialin Zhang
- Verlag: Springer, Berlin
- ISBN-10: 9811981515
- ISBN-13: 9789811981517
Sprache:
Englisch
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