The Nature of Mathematical Modeling, Gershenfeld

Автор: Sung
Название: Algorithms in Bioinformatics
ISBN: 1420070339 ISBN-13(EAN): 9781420070330
Издательство: Taylor&Francis
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Цена: 91860.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Presents an introduction to the algorithmic techniques applied in bioinformatics. For each topic, this title details the biological motivation, defines the corresponding computational problems, and includes examples to illustrate each algorithm.

Автор: Fuente, Angel de la.
Название: Mathematical methods and models for economists
ISBN: 0521585295 ISBN-13(EAN): 9780521585293
Издательство: Cambridge Academ
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Цена: 57030.00 T
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Описание: This book is intended as a textbook for a first-year PhD course in mathematics for economists and as a reference for graduate students in economics. It provides a self-contained, rigorous treatment of most of the concepts and techniques required to follow the standard first-year theory sequence in micro and macroeconomics.

Автор: Adam John
Название: Mathematical Nature Walk
ISBN: 0691152659 ISBN-13(EAN): 9780691152653
Издательство: Wiley
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Цена: 21120.00 T
Наличие на складе: Невозможна поставка.
Описание: How heavy is that cloud? Why can you see farther in rain than in fog? Why are the droplets on that spider web spaced apart so evenly? This book presents ninety-six questions about many common natural phenomena - and a few uncommon ones - and then shows how to answer them using mostly basic mathematics.

Автор: Tramontano
Название: Introduction to Bioinformatics
ISBN: 1584885696 ISBN-13(EAN): 9781584885696
Издательство: Taylor&Francis
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Цена: 80630.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: From the elucidation and analysis of a genomic sequence to the prediction of a protein structure and the identification of the molecular function, this book describes the rationale and limitations of the bioinformatics methods and tools that can help solve biological problems. It addresses the ways to store and retrieve biological data.