9783838394459 - Pattern Recognition and the Whitehead Minimization Problem: Exploratory data analysis in abstract algebra: mathematical structure discovery through experiment. di M... (8 risultati)

Condizione: New. pp. 152.

Taschenbuch. Condizione: Neu. Pattern Recognition and the Whitehead Minimization Problem | Exploratory data analysis in abstract algebra: mathematical structure discovery through experiment. | Alexey Miasnikov | Taschenbuch | 152 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838394459 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In the book, 'Experimentation in Mathematics,' authors J.Borwein and D.Bailey write: 'One of the greatest ironies of the information technology evolution is that while the computer was conceived and born in the field of pure mathematics, through the genius of giants such as John von Neumann and Alan Turing, until recently this marvelous technology had only a minor impact within the field that gave it birth.' One of the main objectives of this research is to show that computers can be successfully used for analysis of mathematical problems. Our philosophy here that if an irregular or non-random behavior has been observed during an experiment then there must be a pure mathematical reason behind this phenomenon, which can be uncovered by a proper statistical analysis. Using methods of pattern recognition and exploratory data analysis we formulate conjectures and design nearly optimal heuristic algorithms for solving the Whitehead Minimization Problem. Several years later after this work was completed, the conjectures formulated in the book were proven by renowned mathematicians and a deterministic polynomial algorithm for the Whitehead-Minimization Problems was discovered. 152 pp. Englisch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Miasnikov AlexeyAlexey D. Myasnikov was born on January 11, 1973, in Kurgan, Russia. He received his PhD in Computer Science from the Graduate Center, CUNY, in 2005. Currently, he is a Research Professor in the Math. Dept. at the S.

Condizione: New. Print on Demand pp. 152 2:B&W 6 x 9 in or 229 x 152 mm Perfect Bound on Creme w/Gloss Lam.

Condizione: New. PRINT ON DEMAND pp. 152.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In the book, 'Experimentation in Mathematics,' authors J.Borwein and D.Bailey write: 'One of the greatest ironies of the information technology evolution is that while the computer was conceived and born in the field of pure mathematics, through the genius of giants such as John von Neumann and Alan Turing, until recently this marvelous technology had only a minor impact within the field that gave it birth.' One of the main objectives of this research is to show that computers can be successfully used for analysis of mathematical problems. Our philosophy here that if an irregular or non-random behavior has been observed during an experiment then there must be a pure mathematical reason behind this phenomenon, which can be uncovered by a proper statistical analysis. Using methods of pattern recognition and exploratory data analysis we formulate conjectures and design nearly optimal heuristic algorithms for solving the Whitehead Minimization Problem. Several years later after this work was completed, the conjectures formulated in the book were proven by renowned mathematicians and a deterministic polynomial algorithm for the Whitehead-Minimization Problems was discovered.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 152 pp. Englisch.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the book, 'Experimentation in Mathematics,' authors J.Borwein and D.Bailey write: 'One of the greatest ironies of the information technology evolution is that while the computer was conceived and born in the field of pure mathematics, through the genius of giants such as John von Neumann and Alan Turing, until recently this marvelous technology had only a minor impact within the field that gave it birth.' One of the main objectives of this research is to show that computers can be successfully used for analysis of mathematical problems. Our philosophy here that if an irregular or non-random behavior has been observed during an experiment then there must be a pure mathematical reason behind this phenomenon, which can be uncovered by a proper statistical analysis. Using methods of pattern recognition and exploratory data analysis we formulate conjectures and design nearly optimal heuristic algorithms for solving the Whitehead Minimization Problem. Several years later after this work was completed, the conjectures formulated in the book were proven by renowned mathematicians and a deterministic polynomial algorithm for the Whitehead-Minimization Problems was discovered.