"A Fast Algorithm that makes Matrices Optimally Sparse"

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Book	Author(s)	Year	Publisher
Sparse Matrices	Reginald P. Tewarson	1973	Elsevier
A bilinear algorithm for sparse representations	Georgiev P., Pardalos P., Theis F.	2007
Direct Methods for Sparse Matrices	I. S. Duff; A. M. Erisman; J. K. Reid	2017	Oxford University Press
Direct Methods for Sparse Matrices	Ole Østerby; Zahari Zlatev	1983	Springer Berlin Heidelberg
Direct methods for sparse matrices	Iain S. Duff	1986	Clarendon Press;Oxford University Press
Computational Methods for General Sparse Matrices	Zahari Zlatev	1991	Springer Netherlands
Evaluating ATDA for sparse matrices: analysis	Amnon Gonen	1984	Naval Postgraduate School
A parallel QR-algorithm for tridiagonal symmetric matrices	Ahmed Sameh	1975	Dept. of Computer Science, University of Illinois at Urbana-Champaign
On the intermediate eigenvalues of symmetric sparse matrices	Ahmed Sameh	1973	Dept. of Computer Science, Center for Advanced Computation, University of Illinois at Urbana-Champaign
Teaching that makes a difference.	Irene Catherine Smith Caldwell	1950	Warner Press
Teaching that makes a difference	Ronald G. Held	1992	Gospel Pub. House
A Life That Makes a Difference	Steve Goodier	March 2, 2002	Life Support System Publishing
An algorithm for computing the alphawidth of (0, 1) matrices	Walter Lane Stanley	1965	Naval Postgraduate School
A fast and simple algorithm for the maximum flow problem	Ravindra K. Ahuja	1987	Sloan School of Management, Massachusetts Institute of Technology
A fast and simple algorithm for the maximum flow problem	Ravindra K. Ahuja	1988	Sloan School of Management, Massachusetts Institute of Technology
Writing a book that makes a difference	Philip Gerard	2000	Story Press
Efficient Parsing for Natural Language: A Fast Algorithm for Practical Systems	Masaru Tomita	1986	Springer US
That makes me mad!	Steven Kroll	2002	SeaStar Books
Faith that makes sense.	Orr, J. Edwin	1962	Judson Press
That makes me angry!	Anthony Best	1997	Golden Books Pub. Co. in cooperation with Children's Television Workshop
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
A Fast Algorithm that makes Matrices Optimally Sparse	Alan J. Hoffman; S. Thomas McCormick	Progress in Combinatorial Optimization	William R. Pulleyblank	1984	Academic Press
A Fast Algorithm that Makes Matrices Optimally Sparse	Alan Hoffman and S. Thomas McCormick	Selected papers of Alan Hoffman with commentary /	Hoffman, A. J.; Micchelli, Charles A.	[2003], ©2003.	World Scientific,
Computing Sparse Jacobian Matrices Optimally	Shahadat Hossain; Trond Steihaug	Automatic Differentiation: Applications, Theory, and Implementations	H. Martin Bücker; George Corliss; Paul Hovland; Uwe Naumann; Boyana Norris	2006	Springer Berlin Heidelberg
Optimally Sparse Data Representations	Philipp Grohs	Harmonic and Applied Analysis: From Groups to Signals	Stephan Dahlke; Filippo De Mari; Philipp Grohs; Demetrio Labate	1st ed. 2015	Springer International Publishing
A Fast Algorithm for Simultaneous Sparse Approximation	Guihong Wan; Haim Schweitzer	Advances in Knowledge Discovery and Data Mining: 25th Pacific-Asia Conference, PAKDD 2021, Virtual Event, May 11–14, 2021, Proceedings, Part III	Kamal Karlapalem; Hong Cheng; Naren Ramakrishnan; R. K. Agrawal; P. Krishna Reddy; Jaideep Srivastava; Tanmoy Chakraborty	1st ed. 2021	Springer International Publishing
Sparse Matrices	Darren Redfern; Colin Campbell	The Matlab® 5 Handbook	Darren Redfern; Colin Campbell	1998	Springer New York
Sparse Matrices	Richard L. Branham Jr.	Scientific Data Analysis: An Introduction to Overdetermined Systems	Richard L. Branham	1990	Springer New York
Sparse Matrices	Yair Shapira	Mathematical Objects in C++: Computational Tools in A Unified Object-Oriented Approach	Yair Shapira	2009	Routledge
Sparse Matrices		Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood	Supun Kamburugamuve, Saliya Ekanayake	2021	Wiley
Sparse matrices		Applying Math with Python: Practical recipes for solving computational math problems using Python programming and its libraries	Sam Morley	2020	Packt Publishing
Sparse matrices		Scientific computing with Python 3 an example-rich, comprehensive guide for all of your Python computational needs	Fuhrer, Claus; Solem, Jan Erik; Verdier, Olivier	2016	Packt Publishing
Sparse Matrices		MatLAB 6 0 Using
Sparse matrices		Designing components with the C++ STL	Ulrich Breymann	2000	Addison-Wesley Professional
Sparse Matrices		Using Matlab V 6		2000
Sparse matrices		Mastering Python Data Visualization	Kirthi Raman	2015	Packt Publishing
Sparse Matrices		Computational Mathematics with SageMath	P. Zimmermann, A. Casamayou, N. Cohen, G. Connan, T. Dumont, L. Fousse, F. Maltey, M. Meulien, M. Mezzarobba, C. Pernet, N. M. Thiéry, E. Bray, J. Cremona, M. Forets, A. Ghitza, H. Thomas	2018	SIAM- Society for Industrial and Applied Mathematics
Sparse matrices		Scikit-Learn Cookbook - Second Edition	Julian Avila; Trent Hauck	2017	Packt Publishing - ebooks Account
Sparse matrices		Mastering Python: Write powerful and efficient code using the full range of Python's capabilities, 2nd Edition	Rick van Hattem	2022	Packt
Sparse Matrices		Think Complexity: Complexity Science and Computational Modeling	Allen Downey	2012	"O'Reilly Media, Inc."
Sparse matrices		Crash Course in MATLAB	Tobin A. Driscoll	2005
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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