Noisy Information and Computational Complexity

Leszek Plaskota (Autor)

Buch | Softcover

322 Seiten

2012
Cambridge University Press (Verlag)
9780521349444 (ISBN)

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In this volume, which was originally published in 1996, noisy information is studied in the context of computational complexity; in other words the text deals with the computational complexity of mathematical problems for which information is partial, noisy and priced. The author develops a general theory of computational complexity of continuous problems with noisy information and gives a number of applications; deterministic as well as stochastic noise is considered. He presents optimal algorithms, optimal information, and complexity bounds in different settings: worst case, average case, mixed worst-average and average-worst, and asymptotic. The book integrates the work of researchers in such areas as computational complexity, approximation theory and statistics, and includes many fresh results as well. About two hundred exercises are supplied with a view to increasing the reader's understanding of the subject. The text will be of interest to professional computer scientists, statisticians, applied mathematicians, engineers, control theorists, and economists.

1. Overview; 2. Worst case setting; 3. Average case setting; 4. Worst-average case setting; 5. Average-worst case setting; 6. Asymptotic setting; Bibliography; Glossary; Indices.

Erscheint lt. Verlag	29.3.2012
Zusatzinfo	Worked examples or Exercises
Verlagsort	Cambridge
Sprache	englisch
Maße	152 x 229 mm
Gewicht	480 g
Themenwelt	Mathematik / Informatik ► Informatik ► Datenbanken
	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Mathematik / Informatik ► Mathematik ► Analysis
ISBN-13	9780521349444 / 9780521349444
Zustand	Neuware