Alexey Miasnikov

Pattern Recognition and the Whitehead Minimization Problem

Exploratory data analysis in abstract algebra: mathematical structure discovery through experiment.

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: LAP Lambert Academic Publishing
• Seitenzahl: 152
• Erscheinungstermin: 16. August 2010
• Englisch
• Abmessung: 220mm x 150mm x 10mm
• Gewicht: 218g
• ISBN-13: 9783838394459
• ISBN-10: 3838394453
• Artikelnr.: 31299668

Autorenporträt

Alexey 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 Stevens Institute of Technology. His research is centered on computational algebra, pattern recognition and algebraic cryptology.