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Smoothed Analysis: Analysis of Algorithms, Simplex Algorithm, Average-Case Analysis, Worst-Case Analysis, Mathematical Programming, Numerical Analysis - Softcover
Synopsis
Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Smoothed analysis is a way of measuring the complexity of an algorithm. It gives a more realistic analysis of the practical performance of the algorithm, such as its running time, than using worst-case or average-case scenarios. For instance the simplex algorithm runs in exponential-time in the worst-case and yet in practice it is a very efficient algorithm. This was one of the main motivations for developing smoothed analysis. Average-case analysis was first introduced to overcome the limitations of worst-case analysis, however the difficulty is saying what an average case is. The actual inputs and distribution of inputs may be different in practice from the assumptions made during the analysis.
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Smoothed Analysis
Print on DemandSeller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Smoothed analysis is a way of measuring the complexity of an algorithm. It gives a more realistic analysis of the practical performance of the algorithm, such as its running time, than using worst-case or average-case scenarios. For instance the simplex algorithm runs in exponential-time in the worst-case and yet in practice it is a very efficient algorithm. This was one of the main motivations for developing smoothed analysis. Average-case analysis was first introduced to overcome the limitations of worst-case analysis, however the difficulty is saying what an average case is. The actual inputs and distribution of inputs may be different in practice from the assumptions made during the analysis. 72 pp. Englisch. Seller Inventory # 9786131243950
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Smoothed Analysis : Analysis of Algorithms, Simplex Algorithm, Average-Case Analysis, Worst-Case Analysis, Mathematical Programming, Numerical Analysis
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Smoothed analysis is a way of measuring the complexity of an algorithm. It gives a more realistic analysis of the practical performance of the algorithm, such as its running time, than using worst-case or average-case scenarios. For instance the simplex algorithm runs in exponential-time in the worst-case and yet in practice it is a very efficient algorithm. This was one of the main motivations for developing smoothed analysis. Average-case analysis was first introduced to overcome the limitations of worst-case analysis, however the difficulty is saying what an average case is. The actual inputs and distribution of inputs may be different in practice from the assumptions made during the analysis. Seller Inventory # 9786131243950
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Smoothed Analysis | Analysis of Algorithms, Simplex Algorithm, Average-Case Analysis, Worst-Case Analysis, Mathematical Programming, Numerical Analysis
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Taschenbuch. Condition: Neu. Smoothed Analysis | Analysis of Algorithms, Simplex Algorithm, Average-Case Analysis, Worst-Case Analysis, Mathematical Programming, Numerical Analysis | Lambert M. Surhone (u. a.) | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786131243950 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 113286878
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Smoothed Analysis
Print on DemandSeller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. Smoothed analysisis a way of measuring the complexity of an algorithm. It gives a morerealistic analysis of the practical performance of the algorithm, suchas its running time, than using worst-case or average-case scenarios.For instance the simplex algorithm runs in exponential-time in theworst-case and yet in practice it is a very efficient algorithm. Thiswas one of the main motivations for developing smoothed analysis.Average-case analysis was first introduced to overcome the limitationsof worst-case analysis, however the difficulty is saying what an averagecase is. The actual inputs and distribution of inputs may be differentin practice from the assumptions made during the analysis.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 72 pp. Englisch. Seller Inventory # 9786131243950
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