Data Structures, Near Neighbor Searches, and Methodology

Download or read book Data Structures, Near Neighbor Searches, and Methodology written by Michael H. Goldwasser and published by American Mathematical Soc.. This book was released on with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents reviewed and revised papers from the fifth and sixth DIMACS Implementation Challenge workshops. These workshops, held approximately annually, aim at encouraging high-quality work in experimental analysis of data structures and algorithms. The papers published in this volume are the results of year-long coordinated research projects and contain new findings and insights. Three papers address the performance evaluation of implementations for two fundamental data structures, dictionaries and priority queues as used in the context of real applications. Another four papers consider the still evolving topic of methodologies for experimental algorithmics. Five papers are concerned with implementations of algorithms for nearest neighbor search in high dimensional spaces, an area with applications in information retrieval and data mining on collections of Web documents, DNA sequences, images and various other data types.