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Numerical Recipes 3rd Edition: The Art of Scientific Computing
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This new edition incorporates more than 400 Numerical Recipes routines, many of them new or upgraded, and adopts an object-oriented style particularly suited to scientific applications.Abstract:
Co-authored by four leading scientists from academia and industry, Numerical Recipes Third Edition starts with basic mathematics and computer science and proceeds to complete, working routines. Widely recognized as the most comprehensive, accessible and practical basis for scientific computing, this new edition incorporates more than 400 Numerical Recipes routines, many of them new or upgraded. The executable C++ code, now printed in color for easy reading, adopts an object-oriented style particularly suited to scientific applications. The whole book is presented in the informal, easy-to-read style that made earlier editions so popular. Please visit www.nr.com or www.cambridge.org/us/numericalrecipes for more details. New key features: 2 new chapters, 25 new sections, 25% longer than Second Edition Thorough upgrades throughout the text Over 100 completely new routines and upgrades of many more. New Classification and Inference chapter, including Gaussian mixture models, HMMs, hierarchical clustering, Support Vector MachinesNew Computational Geometry chapter covers KD trees, quad- and octrees, Delaunay triangulation, and algorithms for lines, polygons, triangles, and spheres New sections include interior point methods for linear programming, Monte Carlo Markov Chains, spectral and pseudospectral methods for PDEs, and many new statistical distributions An expanded treatment of ODEs with completely new routines Plus comprehensive coverage of linear algebra, interpolation, special functions, random numbers, nonlinear sets of equations, optimization, eigensystems, Fourier methods and wavelets, statistical tests, ODEs and PDEs, integral equations, and inverse theory And much, much more! Visit the authors' web site for information about electronic subscriptions www.nr.com/aboutNR3book.htmlread more
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Journal ArticleDOI
RENOIR - A Dataset for Real Low-Light Image Noise Reduction
Josue Anaya,Adrian Barbu +1 more
TL;DR: A dataset of color images corrupted by natural noise due to low-light conditions is introduced, together with spatially and intensity-aligned low noise images of the same scenes, and a method for estimating the true noise level in the authors' images, since even the low noise image contain small amounts of noise.
Proceedings ArticleDOI
Bricolage: example-based retargeting for web design
TL;DR: It is shown that Bricolage can learn to accurately reproduce human page mappings, and that it provides a general, efficient, and automatic technique for retargeting content between a variety of real Web pages.
Journal ArticleDOI
Toward Early-Warning Detection of Gravitational Waves from Compact Binary Coalescence
Kipp Cannon,Romain Cariou,Adrian Chapman,Mireia Crispin-Ortuzar,Nickolas Fotopoulos,M. Frei,M. Frei,Chad Hanna,Erin Kara,Drew Keppel,Laura E. Liao,S. Privitera,Antony C. Searle,Leo Singer,Alan J. Weinstein +14 more
TL;DR: In this article, the authors demonstrate a computationally practical filtering strategy that could produce early-warning triggers before gravitational radiation from the final merger has arrived at the detectors, which could make it possible to observe the onset of electromagnetic emission from (CBC).
Journal ArticleDOI
Euclid preparation: VII. Forecast validation for Euclid cosmological probes
Alain Blanchard,Stefano Camera,Carmelita Carbone,V. F. Cardone,S. Casas,Sebastien Clesse,S. Ilić,M. Kilbinger,Thomas D. Kitching,M. Kunz,F. Lacasa,Eric V. Linder,Elisabetta Majerotto,K. Markovic,M. Martinelli,V. Pettorino,Alkistis Pourtsidou,Z. Sakr,Ariel G. Sánchez,Domenico Sapone,Isaac Tutusaus,S. Yahia-Cherif,V. Yankelevich,Stefano Andreon,H. Aussel,A. Balaguera-Antolínez,Marco Baldi,S. Bardelli,R. Bender,Andrea Biviano,D. Bonino,A. Boucaud,Enrico Bozzo,E. Branchini,S. Brau-Nogue,Massimo Brescia,Jarle Brinchmann,Carlo Burigana,Remi A. Cabanac,V. Capobianco,A. Cappi,J. Carretero,C. S. Carvalho,Ricard Casas,F. J. Castander,Marco Castellano,Stefano Cavuoti,A. Cimatti,R. Cledassou,C. Colodro-Conde,G. Congedo,C. J. Conselice,L. Conversi,Y. Copin,Leonardo Corcione,Jean Coupon,Hélène M. Courtois,Mark Cropper,A. Da Silva,S. de la Torre,D. Di Ferdinando,F. Dubath,Franck Ducret,C. A. J. Duncan,X. Dupac,S. Dusini,Giulio Fabbian,M. H. Fabricius,S. Farrens,P. Fosalba,Sotiria Fotopoulou,N. Fourmanoit,M. Frailis,E. Franceschi,P. Franzetti,M. Fumana,S. Galeotta,W. Gillard,B. Gillis,Carlo Giocoli,P. Gomez-Alvarez,Javier Graciá-Carpio,Frank Grupp,Luigi Guzzo,Henk Hoekstra,Felix Hormuth,H. Israel,Knud Jahnke,E. Keihänen,S. Kermiche,C. C. Kirkpatrick,R. Kohley,B. Kubik,Hannu Kurki-Suonio,Sebastiano Ligori,P. B. Lilje,Ivan Lloro,Davide Maino,Elisabetta Maiorano,Ole Marggraf,N. Martinet,Federico Marulli,Richard Massey,E. Medinaceli,Simona Mei,Yannick Mellier,Benjamin J. Metcalf,J. J. Metge,G. Meylan,Michele Moresco,L. Moscardini,E. Munari,Robert C. Nichol,S. Niemi,Achille A. Nucita,C. Padilla,S. Paltani,Fabio Pasian,Will J. Percival,Sandrine Pires,G. Polenta,M. Poncet,Lucia Pozzetti,Giuseppe D. Racca,F. Raison,A. Renzi,Jason Rhodes,E. Romelli,Mauro Roncarelli,Emanuel Rossetti,Roberto P. Saglia,Peter Schneider,V. Scottez,A. Secroun,G. Sirri,L. Stanco,Jean-Luc Starck,F. Sureau,P. Tallada-Crespí,Daniele Tavagnacco,Andy Taylor,M. Tenti,Ismael Tereno,Rafael Toledo-Moreo,F. Torradeflot,Luca Valenziano,T. Vassallo,G. A. Verdoes Kleijn,Matteo Viel,Yu Wang,A. Zacchei,Julien Zoubian,E. Zucca +152 more
TL;DR: In this article, the authors present validated numerical codes and methods for Euclid cosmological forecasts for galaxy clustering, weak lensing, and their combination, which can be used to validate their own codes if required.
Journal ArticleDOI
Performance of two Askaryan Radio Array stations and first results in the search for ultrahigh energy neutrinos
Patrick Allison,R. Bard,J. J. Beatty,D. Z. Besson,C. Bora,C. C. Chen,Chun Hsiung Chen,Pisin Chen,A. Christenson,Amy Connolly,J. Davies,Michael DuVernois,B. D. Fox,R. Gaior,Peter Gorham,Kael Hanson,J. Haugen,Berkeley Hill,Kara Hoffman,E. Hong,S. Y. Hsu,L. Hu,J. J. Huang,M. A. Huang,A. Ishihara,A. Karle,J. L. Kelley,Daniel Kennedy,Ilya Kravchenko,T. Kuwabara,H. Landsman,A. Laundrie,C.-J. Li,Tsung-Che Liu,M.-Y. Lu,Luca Macchiarulo,K. Mase,Thomas Meures,R. Meyhandan,C. Miki,R. Morse,Jiwoo Nam,R. J. Nichol,G. Nir,Alexander Novikov,Aongus O'Murchadha,Carl Pfendner,Kenneth L. Ratzlaff,M. Relich,M. Richman,Lisa Ritter,B. Rotter,P. Sandstrom,P. Schellin,A. Shultz,D. Seckel,Y. S. Shiao,J. Stockham,M. Stockham,J. Touart,G. S. Varner,M. Z. Wang,S. H. Wang,Yifan Yang,S. Yoshida,R. Young +65 more
TL;DR: In this article, the ARA detector as built and calibrations are described and data reduction methods used to distinguish the rare radio signals from overwhelming background of thermal and anthropogenic origin are presented.