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OverviewFull Product DetailsAuthor: Michael W. MahoneyPublisher: now publishers Inc Imprint: now publishers Inc Dimensions: Width: 15.60cm , Height: 0.60cm , Length: 23.40cm Weight: 0.173kg ISBN: 9781601985064ISBN 10: 1601985061 Pages: 114 Publication Date: 22 November 2011 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: In Print ![]() This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1: Introduction 2: Matrices in large-scale scientific data analysis 3: Randomization applied to matrix problems 4: Randomized algorithms for least-squares approximation 5: Randomized algorithms for low-rank matrix approximation 6: Empirical observations 7: A few general thoughts, and a few lessons learned 8: Conclusion. Acknowledgements. ReferencesReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |