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{ "item_title" : "Mathematical and Engineering Methods in Computer Science", "item_author" : [" Jan Kofroň", "Tomás Vojnar "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/31/929/816/331929816X_b.jpg", "price_data" : { "retail_price" : "109.99", "online_price" : "109.99", "our_price" : "109.99", "club_price" : "109.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Mathematical and Engineering Methods in Computer Science|Jan Kofroň

Mathematical and Engineering Methods in Computer Science : 10th International Doctoral Workshop, Memics 2015, Telč, Czech Republic, October 23-25,

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Overview

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.

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Details

  • ISBN-13: 9783319298160
  • ISBN-10: 331929816X
  • Publisher: Springer
  • Publish Date: February 2016
  • Dimensions: 9.21 x 6.14 x 0.36 inches
  • Shipping Weight: 0.54 pounds
  • Page Count: 157

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