ISBN 10: 7560524168 ISBN 13: 9787560524160
Idioma: Inglés
Librería: liu xing, Nanjing, JS, China
EUR 43,34
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Añadir al carritopaperback. Condición: New. Language:Chinese.Paperback. Publisher: Xi an Jiaotong.
ISBN 10: 750834281X ISBN 13: 9787508342818
Librería: liu xing, Nanjing, JS, China
EUR 44,04
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Añadir al carritopaperback. Condición: New. Language:Chinese.Paperback. Publisher: China Electric Power Press. correspond to the textbook exercises in the book of knowledge points. with each chapter s learning to.
ISBN 10: 7568244598 ISBN 13: 9787568244596
Librería: liu xing, Nanjing, JS, China
EUR 63,03
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Añadir al carritopaperback. Condición: New. Paperback. Pub Date: 2017-08-01 Pages: 195 Language: Chinese Publisher: Beijing university of science and technology press. the data structure of problem sets and laboratory instruction (C Language version) ordinary institutions of higher learning computer science and technology oriented application series for teaching is written for data structure course teaching AIDS.The book is divided into three articles. the first paper.
Publicado por LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838394453 ISBN 13: 9783838394459
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 59,00
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Añadir al carritoTaschenbuch. Condición: 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.