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Elementary mechanics using Python = ...

Malthe-Sorenssen, Anders.

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Elementary mechanics using Python = a modern course combining analytical and numerical techniques /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Elementary mechanics using Python/ by Anders Malthe-Sorenssen.
其他題名:	a modern course combining analytical and numerical techniques /
作者:	Malthe-Sorenssen, Anders.
出版者:	Cham :Springer International Publishing : : 2015.,
面頁冊數:	xiii, 590 p. :ill., digital ;24 cm.
內容註:	Introduction -- Getting started with programming -- Units and measurement -- Motion in one dimension -- Forces in one dimension -- Motion in two and three dimensions -- Forces in two and three dimensions -- Constrained motion -- Forces and constrained motion -- Work -- Energy -- Momentum, impulse, and collisions -- Multiparticle systems -- Rotational motion -- Rotation of rigid bodies -- Dynamics of rigid bodies -- Proofs -- Solutions -- Index.
Contained By:	Springer eBooks
標題:	Mechanics - Mathematical models. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-19596-4
ISBN:	9783319195964 (electronic bk.)

Elementary mechanics using Python = a modern course combining analytical and numerical techniques /
Malthe-Sorenssen, Anders.

Elementary mechanics using Pythona modern course combining analytical and numerical techniques /[electronic resource] :by Anders Malthe-Sorenssen. - Cham :Springer International Publishing :2015. - xiii, 590 p. :ill., digital ;24 cm. - Undergraduate lecture notes in physics,2192-4791. - Undergraduate lecture notes in physics..

Introduction -- Getting started with programming -- Units and measurement -- Motion in one dimension -- Forces in one dimension -- Motion in two and three dimensions -- Forces in two and three dimensions -- Constrained motion -- Forces and constrained motion -- Work -- Energy -- Momentum, impulse, and collisions -- Multiparticle systems -- Rotational motion -- Rotation of rigid bodies -- Dynamics of rigid bodies -- Proofs -- Solutions -- Index.

This book – specifically developed as a novel textbook on elementary classical mechanics – shows how analytical and numerical methods can be seamlessly integrated to solve physics problems. This approach allows students to solve more advanced and applied problems at an earlier stage and equips them to deal with real-world examples well beyond the typical special cases treated in standard textbooks. Another advantage of this approach is that students are brought closer to the way physics is actually discovered and applied, as they are introduced right from the start to a more exploratory way of understanding phenomena and of developing their physical concepts. While not a requirement, it is advantageous for the reader to have some prior knowledge of scientific programming with a scripting-type language. This edition of the book uses Python, and a chapter devoted to the basics of scientific programming with Python is included. A parallel edition using Matlab instead of Python is also available. Last but not least, each chapter is accompanied by an extensive set of course-tested exercises and solutions.

ISBN: 9783319195964 (electronic bk.)

Standard No.: 10.1007/978-3-319-19596-4doiSubjects--Topical Terms:

865097
Mechanics
--Mathematical models.

LC Class. No.: QA805

Dewey Class. No.: 531.015118

Elementary mechanics using Python = a modern course combining analytical and numerical techniques /
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520 $a This book – specifically developed as a novel textbook on elementary classical mechanics – shows how analytical and numerical methods can be seamlessly integrated to solve physics problems. This approach allows students to solve more advanced and applied problems at an earlier stage and equips them to deal with real-world examples well beyond the typical special cases treated in standard textbooks. Another advantage of this approach is that students are brought closer to the way physics is actually discovered and applied, as they are introduced right from the start to a more exploratory way of understanding phenomena and of developing their physical concepts. While not a requirement, it is advantageous for the reader to have some prior knowledge of scientific programming with a scripting-type language. This edition of the book uses Python, and a chapter devoted to the basics of scientific programming with Python is included. A parallel edition using Matlab instead of Python is also available. Last but not least, each chapter is accompanied by an extensive set of course-tested exercises and solutions.
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