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R Programming & Its Applications In, Yoshikawa


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Цена: 19906.00р.
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Наличие: Поставка под заказ.  Есть в наличии на складе поставщика.
Склад Америка: Есть  
При оформлении заказа до: 2025-07-28
Ориентировочная дата поставки: Август-начало Сентября
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Автор: Yoshikawa
Название:  R Programming & Its Applications In
ISBN: 9781498766098
Издательство: Taylor&Francis
Классификация:



ISBN-10: 1498766099
Обложка/Формат: Hardback
Страницы: 258
Вес: 0.57 кг.
Дата издания: 29.03.2018
Язык: English
Иллюстрации: 2 tables, black and white; 4 line drawings, color; 62 line drawings, black and white; 4 illustrations, color; 62 illustrations, black and white
Размер: 164 x 241 x 23
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Applied mathematics, BUSINESS & ECONOMICS / Finance,MATHEMATICS / General,MATHEMATICS / Probability & Statistics / General
Основная тема: Financial Mathematics
Ссылка на Издательство: Link
Рейтинг:
Поставляется из: Европейский союз
Описание: This book provides various calculation methods for financial mathematics utilizing R programming, and includes basic finance theories and statistical analysis. In addition to the ample applications of R programming provided, the book delivers simple descriptions to assist readers in the immediate application of the methods to financial data.


Theory of Fluid Flows Through Natural Rocks

Автор: Barenblatt, G I, Entov, V M, Ryz
Название: Theory of Fluid Flows Through Natural Rocks
ISBN: 9048140420 ISBN-13(EAN): 9789048140428
Издательство: Springer
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Цена: 27950.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: The processes of the development of oil and gas deposits are of primary importance in the whole technological chain of oil and gas extraction from the rocks and their transportation to the customer.

A Primer on Scientific Programming with Python

Автор: Langtangen Hans Petter
Название: A Primer on Scientific Programming with Python
ISBN: 3662498863 ISBN-13(EAN): 9783662498866
Издательство: Springer
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Цена: 4890.00 р. 6986.00 -30%
Наличие на складе: Есть (1 шт.)
Описание: The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches 'Matlab-style' and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.From the reviews: Langtangen … does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. … Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science.Alex Small, IEEE, CiSE Vol. 14 (2), March?/April 2012 “This fourth edition is awonderful, inclusive textbook that covers pretty much everything one needs toknow to go from zero to fairly sophisticated scientific programming in Python…”Joan Horvath, Computing Reviews, March2015


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