Published by Cambridge University Press, 2012
ISBN 10: 1107606608 ISBN 13: 9781107606609
Language: English
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Published by Cambridge University Press, 2012
ISBN 10: 1107606608 ISBN 13: 9781107606609
Language: English
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Published by Cambridge University Press, 2012
ISBN 10: 1107606608 ISBN 13: 9781107606609
Language: English
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Published by Cambridge University Press, Cambridge, 2012
ISBN 10: 1107606608 ISBN 13: 9781107606609
Language: English
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Paperback. Condition: new. Paperback. Randomized algorithms have become a central part of the algorithms curriculum, based on their increasingly widespread use in modern applications. This book presents a coherent and unified treatment of probabilistic techniques for obtaining high probability estimates on the performance of randomized algorithms. It covers the basic toolkit from the ChernoffHoeffding bounds to more sophisticated techniques like martingales and isoperimetric inequalities, as well as some recent developments like Talagrand's inequality, transportation cost inequalities and log-Sobolev inequalities. Along the way, variations on the basic theme are examined, such as ChernoffHoeffding bounds in dependent settings. The authors emphasise comparative study of the different methods, highlighting respective strengths and weaknesses in concrete example applications. The exposition is tailored to discrete settings sufficient for the analysis of algorithms, avoiding unnecessary measure-theoretic details, thus making the book accessible to computer scientists as well as probabilists and discrete mathematicians. This book presents a coherent and unified account of classical and more advanced techniques for analyzing the performance of randomized algorithms. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Cambridge University Press, 2012
ISBN 10: 1107606608 ISBN 13: 9781107606609
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Published by Cambridge University Press, GB, 2012
ISBN 10: 1107606608 ISBN 13: 9781107606609
Language: English
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Add to basketPaperback. Condition: New. Randomized algorithms have become a central part of the algorithms curriculum, based on their increasingly widespread use in modern applications. This book presents a coherent and unified treatment of probabilistic techniques for obtaining high probability estimates on the performance of randomized algorithms. It covers the basic toolkit from the Chernoff-Hoeffding bounds to more sophisticated techniques like martingales and isoperimetric inequalities, as well as some recent developments like Talagrand's inequality, transportation cost inequalities and log-Sobolev inequalities. Along the way, variations on the basic theme are examined, such as Chernoff-Hoeffding bounds in dependent settings. The authors emphasise comparative study of the different methods, highlighting respective strengths and weaknesses in concrete example applications. The exposition is tailored to discrete settings sufficient for the analysis of algorithms, avoiding unnecessary measure-theoretic details, thus making the book accessible to computer scientists as well as probabilists and discrete mathematicians.
Published by Cambridge University Press, 2012
ISBN 10: 1107606608 ISBN 13: 9781107606609
Language: English
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Published by Cambridge University Press, 2012
ISBN 10: 1107606608 ISBN 13: 9781107606609
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Published by Cambridge University Press, 2012
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Published by Cambridge University Press, 2012
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Published by Cambridge University Press, 2012
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Published by Cambridge University Press, 2012
ISBN 10: 1107606608 ISBN 13: 9781107606609
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Published by Cambridge University Press 3/12/2012, 2012
ISBN 10: 1107606608 ISBN 13: 9781107606609
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Add to basketPaperback or Softback. Condition: New. Concentration of Measure for the Analysis of Randomized Algorithms. Book.
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ISBN 10: 1107606608 ISBN 13: 9781107606609
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Add to basketTaschenbuch. Condition: Neu. Neuware - Randomized algorithms have become a central part of the algorithms curriculum, based on their increasingly widespread use in modern applications. This book presents a coherent and unified treatment of probabilistic techniques for obtaining high probability estimates on the performance of randomized algorithms. It covers the basic toolkit from the Chernoff-Hoeffding bounds to more sophisticated techniques like martingales and isoperimetric inequalities, as well as some recent developments like Talagrand's inequality, transportation cost inequalities and log-Sobolev inequalities. Along the way, variations on the basic theme are examined, such as Chernoff-Hoeffding bounds in dependent settings. The authors emphasise comparative study of the different methods, highlighting respective strengths and weaknesses in concrete example applications. The exposition is tailored to discrete settings sufficient for the analysis of algorithms, avoiding unnecessary measure-theoretic details, thus making the book accessible to computer scientists as well as probabilists and discrete mathematicians.
Published by Cambridge University Press, GB, 2012
ISBN 10: 1107606608 ISBN 13: 9781107606609
Language: English
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Add to basketPaperback. Condition: New. Randomized algorithms have become a central part of the algorithms curriculum, based on their increasingly widespread use in modern applications. This book presents a coherent and unified treatment of probabilistic techniques for obtaining high probability estimates on the performance of randomized algorithms. It covers the basic toolkit from the Chernoff-Hoeffding bounds to more sophisticated techniques like martingales and isoperimetric inequalities, as well as some recent developments like Talagrand's inequality, transportation cost inequalities and log-Sobolev inequalities. Along the way, variations on the basic theme are examined, such as Chernoff-Hoeffding bounds in dependent settings. The authors emphasise comparative study of the different methods, highlighting respective strengths and weaknesses in concrete example applications. The exposition is tailored to discrete settings sufficient for the analysis of algorithms, avoiding unnecessary measure-theoretic details, thus making the book accessible to computer scientists as well as probabilists and discrete mathematicians.
Published by Cambridge University Press, Cambridge, 2012
ISBN 10: 1107606608 ISBN 13: 9781107606609
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Add to basketPaperback. Condition: new. Paperback. Randomized algorithms have become a central part of the algorithms curriculum, based on their increasingly widespread use in modern applications. This book presents a coherent and unified treatment of probabilistic techniques for obtaining high probability estimates on the performance of randomized algorithms. It covers the basic toolkit from the ChernoffHoeffding bounds to more sophisticated techniques like martingales and isoperimetric inequalities, as well as some recent developments like Talagrand's inequality, transportation cost inequalities and log-Sobolev inequalities. Along the way, variations on the basic theme are examined, such as ChernoffHoeffding bounds in dependent settings. The authors emphasise comparative study of the different methods, highlighting respective strengths and weaknesses in concrete example applications. The exposition is tailored to discrete settings sufficient for the analysis of algorithms, avoiding unnecessary measure-theoretic details, thus making the book accessible to computer scientists as well as probabilists and discrete mathematicians. This book presents a coherent and unified account of classical and more advanced techniques for analyzing the performance of randomized algorithms. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, Cambridge, 2012
ISBN 10: 1107606608 ISBN 13: 9781107606609
Language: English
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Add to basketPaperback. Condition: new. Paperback. Randomized algorithms have become a central part of the algorithms curriculum, based on their increasingly widespread use in modern applications. This book presents a coherent and unified treatment of probabilistic techniques for obtaining high probability estimates on the performance of randomized algorithms. It covers the basic toolkit from the ChernoffHoeffding bounds to more sophisticated techniques like martingales and isoperimetric inequalities, as well as some recent developments like Talagrand's inequality, transportation cost inequalities and log-Sobolev inequalities. Along the way, variations on the basic theme are examined, such as ChernoffHoeffding bounds in dependent settings. The authors emphasise comparative study of the different methods, highlighting respective strengths and weaknesses in concrete example applications. The exposition is tailored to discrete settings sufficient for the analysis of algorithms, avoiding unnecessary measure-theoretic details, thus making the book accessible to computer scientists as well as probabilists and discrete mathematicians. This book presents a coherent and unified account of classical and more advanced techniques for analyzing the performance of randomized algorithms. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Cambridge University Press, 2012
ISBN 10: 1107606608 ISBN 13: 9781107606609
Language: English
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Published by Cambridge University Press, 2009
ISBN 10: 0521884276 ISBN 13: 9780521884273
Language: English
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Add to basketHardcover. Condition: Very Good. Bookplate, otherwise text clean and tight; no dust jacket; 8.90 X 6.10 X 0.90 inches; 214 pages.
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ISBN 10: 0521884276 ISBN 13: 9780521884273
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ISBN 10: 0521884276 ISBN 13: 9780521884273
Language: English
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Add to basketBuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Randomized algorithms have become a central part of the algorithms curriculum, based on their increasingly widespread use in modern applications. This book presents a coherent and unified treatment of probabilistic techniques for obtaining high probability estimates on the performance of randomized algorithms. It covers the basic toolkit from the Chernoff-Hoeffding bounds to more sophisticated techniques like martingales and isoperimetric inequalities, as well as some recent developments like Talagrand's inequality, transportation cost inequalities and log-Sobolev inequalities. Along the way, variations on the basic theme are examined, such as Chernoff-Hoeffding bounds in dependent settings. The authors emphasise comparative study of the different methods, highlighting respective strengths and weaknesses in concrete example applications. The exposition is tailored to discrete settings sufficient for the analysis of algorithms, avoiding unnecessary measure-theoretic details, thus making the book accessible to computer scientists as well as probabilists and discrete mathematicians.
Published by Cambridge University Press, 2009
ISBN 10: 0521884276 ISBN 13: 9780521884273
Language: English
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Published by Cambridge University Press
ISBN 10: 0174202946 ISBN 13: 9780174202943
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Published by Cambridge University Press, 2012
ISBN 10: 1107606608 ISBN 13: 9781107606609
Language: English
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Published by Cambridge University Press, 2012
ISBN 10: 1107606608 ISBN 13: 9781107606609
Language: English
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