Advances in parallel algorithms
著者
書誌事項
Advances in parallel algorithms
（Advanced topics in computer science series）
Blackwell Scientific, 1992
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注記
Includes bibliographies and index
内容説明・目次
内容説明
Parallel computing is rapidly gaining recognition as a practical way of achieving the greater speeds needed to solve advanced application problems. These include signal and image processing, speech recognition, communications, robotics, artificial intelligence and weather forecasting. This book brings together contributions from a range of researchers, with the aim of addressing the most recent research findings and issues in parallel software design and technology. It is ideal for all those concerned with algorithms in general or parallel processing. It is suitable for a wide range of advanced undergraduate or postgraduate courses in computer science.
目次
- Supercomputers, pipelining and farming
- Parallel computing paradigms
- Neural network paradigm
- Parallel task-driven versus process-driven approaches
- Parallel branch-and-bound method
- Parallel divide-and-conquer approach
- Parallel tree and graph searching
- Parallel algebraic transformation approach
- Parallel approximate and probabilistic methods
- Parallel dynamic programming method
- Parallel exploration of maze
- Parallel graph reduction algorithms
- Parallel algorithms for matrix operations
- Parallel pattern recognition methods
- Parallel stable marriage problem
- Parallel travelling salesman problem
- Neural network approach
- Computational complexity of parallel algorithms
- Performance evaluation of parallel algorithms.
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