Mining of Massive Datasets Anand Rajaraman Kosmix, Inc. Jeffrey D. Ullman Stanford Univ. Copyright c 2010, 2011 Anand Rajaraman and Jeffrey D. Ullman ii Preface This book…
Probability and Random Processes for Electrical Engineers John A. Gubner University of Wisconsin Madison Discrete Random Variables Bernoullip E X = p; varX = p1 , p; GX z…
1. QTPIE and water Jiahao Chen 2008-05-20quot;We can't solve problems by using the same kind of thinking we used when we created them.quot; - attributed to Albert Einstein…
Slide 1Anthony Delprete Jason Mckean Ryan Pineres Chris Olszewski Slide 2 Overview History and Purposes Tiles, Locality and Parallelism Structure, Creation of and Accessing…
Slide 1Factorization-based Sparse Solvers and Preconditioners Xiaoye Sherry Li Lawrence Berkeley National Laboratory, USA [email protected] crd-legacy.lbl.gov/~xiaoye/G2S3/ 4…
Slide 1Weiren Yu 1, Xuemin Lin 1, Wenjie Zhang 1, Ying Zhang 1 Jiajin Le 2, SimFusion+: Extending SimFusion Towards Efficient Estimation on Large and Dynamic Networks 1 University…
1.Mining ofMassiveDatasetsAnand RajaramanKosmix, Inc.Jeffrey D. Ullman Stanford Univ.Copyright c 2010, 2011 Anand Rajaraman and Jeffrey D. Ullman2. ii 3. PrefaceThis book…
FFT Algorithms Brian Gough, [email protected] May 1997 1 Introduction Fast Fourier Transforms (FFTs) are efficient algorithms for calculating the discrete Fourier…