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Mathematical and Engineering Methods in Computer Science [electronic resource] : 10th International Doctoral Workshop, MEMICS 2015, Telč, Czech Republic, October 23-25, 2015, Revised Selected Papers / edited by Jan Kofroň, Tomáš Vojnar.

Contributor(s): Kofroň, Jan [editor.] | Vojnar, Tomáš [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Programming and Software Engineering: 9548Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016.Description: IX, 157 p. 51 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319298177.Subject(s): Software engineering | Computer networks  | Algorithms | Electronic data processing -- Management | Application software | Bioinformatics | Software Engineering | Computer Communication Networks | Algorithms | IT Operations | Computer and Information Systems Applications | Computational and Systems BiologyAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 005.1 Online resources: Click here to access online
Contents:
Programming Support for Future Parallel Architectures -- Flexible Interpolation for Efficient Model Checking -- Understanding Transparent and Complicated Users as Instances of Preference Learning for Recommender Systems -- Span-Program-Based Quantum Algorithms for Graph Bipartiteness and Connectivity -- Fitting Aggregation Operators -- Practical Exhaustive Generation of Small Multiway Cuts in Sparse Graphs -- Self-adaptive Architecture for Multi-sensor Embedded Vision System -- Exceptional Configurations of Quantum Walks with Grover's Coin -- Performance Analysis of Distributed Stream Processing Applications Through Colored Petri Nets -- GPU-Accelerated Real-Time Mesh Simplification Using Parallel Half Edge Collapses -- Classifier Ensemble by Semi-supervised Learning: Local Aggregation Methodology -- The Challenge of Increasing Safe Response of Antivirus Software Users -- Weak Memory Models as LLVM-to-LLVM Transformations.
In: Springer Nature eBookSummary: This volume contains the post-conference proceedings of the 10th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science, MEMICS 2015, held in Telč, Czech Republic, in October 2015. The 10 thoroughly revised full papers were carefully selected out of 25 submissions and are presented together with 3 invited papers. The topics covered include: security and safety, bioinformatics, recommender systems, high-performance and cloud computing, and non-traditional computational models (quantum computing, etc.).<ioinformatics, recommender="" systems,="" high-performance="" and="" cloud="" computing,="" non-traditional="" computational="" models="" (quantum="" etc.).
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Programming Support for Future Parallel Architectures -- Flexible Interpolation for Efficient Model Checking -- Understanding Transparent and Complicated Users as Instances of Preference Learning for Recommender Systems -- Span-Program-Based Quantum Algorithms for Graph Bipartiteness and Connectivity -- Fitting Aggregation Operators -- Practical Exhaustive Generation of Small Multiway Cuts in Sparse Graphs -- Self-adaptive Architecture for Multi-sensor Embedded Vision System -- Exceptional Configurations of Quantum Walks with Grover's Coin -- Performance Analysis of Distributed Stream Processing Applications Through Colored Petri Nets -- GPU-Accelerated Real-Time Mesh Simplification Using Parallel Half Edge Collapses -- Classifier Ensemble by Semi-supervised Learning: Local Aggregation Methodology -- The Challenge of Increasing Safe Response of Antivirus Software Users -- Weak Memory Models as LLVM-to-LLVM Transformations.

This volume contains the post-conference proceedings of the 10th Doctoral Workshop on Mathematical and Engineering Methods in Computer Science, MEMICS 2015, held in Telč, Czech Republic, in October 2015. The 10 thoroughly revised full papers were carefully selected out of 25 submissions and are presented together with 3 invited papers. The topics covered include: security and safety, bioinformatics, recommender systems, high-performance and cloud computing, and non-traditional computational models (quantum computing, etc.).<ioinformatics, recommender="" systems,="" high-performance="" and="" cloud="" computing,="" non-traditional="" computational="" models="" (quantum="" etc.).

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