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Astrophysics through computation[ele...

Koberlein, Brian.

Astrophysics through computation[electronic resource] :with Mathematica® support /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	523.01028553
書名/作者:	Astrophysics through computation : with Mathematica® support // Brian Koberlein, David Meisel.
作者:	Koberlein, Brian.
其他作者:	Meisel, David D.
出版者:	Cambridge : : Cambridge University Press,, 2013.
面頁冊數:	ix, 372 p. : : ill., digital ;; 24 cm.
標題:	Astrophysics - Textbooks. - Data processing
標題:	Mathematica (Computer program language)
ISBN:	9780511863172
ISBN:	9781107010741
摘要、提要註:	This new text surveys a series of fundamental problems in astrophysics, both analytically and computationally, for advanced students in physics and astrophysics. The contents are supported by more than 110 class-tested Mathematica® notebooks, allowing rigorous solutions to be explored in a visually engaging way. Topics covered include many classical and historically interesting problems, enabling students to appreciate the mathematical and scientific challenges that have been overcome in the subject's development. The text also shows the advantages and disadvantages of using analytical and computational methods. It will serve students, professionals and capable amateurs to master the quantitative details of modern astrophysics and the computational aspects of their research projects. Downloadable Mathematica® resources available at www.cambridge.org/koberlein.
電子資源:	https://doi.org/10.1017/CBO9780511863172

Astrophysics through computation[electronic resource] :with Mathematica® support /
Koberlein, Brian.

Astrophysics through computationwith Mathematica® support /[electronic resource] :Brian Koberlein, David Meisel. - Cambridge :Cambridge University Press,2013. - ix, 372 p. :ill., digital ;24 cm.

This new text surveys a series of fundamental problems in astrophysics, both analytically and computationally, for advanced students in physics and astrophysics. The contents are supported by more than 110 class-tested Mathematica® notebooks, allowing rigorous solutions to be explored in a visually engaging way. Topics covered include many classical and historically interesting problems, enabling students to appreciate the mathematical and scientific challenges that have been overcome in the subject's development. The text also shows the advantages and disadvantages of using analytical and computational methods. It will serve students, professionals and capable amateurs to master the quantitative details of modern astrophysics and the computational aspects of their research projects. Downloadable Mathematica® resources available at www.cambridge.org/koberlein.

ISBN: 9780511863172Subjects--Topical Terms:

711308
Astrophysics
--Data processing--Textbooks.

LC Class. No.: QB462.2 / .K63 2013

Dewey Class. No.: 523.01028553

Astrophysics through computation[electronic resource] :with Mathematica® support /
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245 1 0 $a Astrophysics through computation $h [electronic resource] : $b with Mathematica® support / $c Brian Koberlein, David Meisel.
260 $a Cambridge : $b Cambridge University Press, $c 2013.
300 $a ix, 372 p. : $b ill., digital ; $c 24 cm.
520 $a This new text surveys a series of fundamental problems in astrophysics, both analytically and computationally, for advanced students in physics and astrophysics. The contents are supported by more than 110 class-tested Mathematica® notebooks, allowing rigorous solutions to be explored in a visually engaging way. Topics covered include many classical and historically interesting problems, enabling students to appreciate the mathematical and scientific challenges that have been overcome in the subject's development. The text also shows the advantages and disadvantages of using analytical and computational methods. It will serve students, professionals and capable amateurs to master the quantitative details of modern astrophysics and the computational aspects of their research projects. Downloadable Mathematica® resources available at www.cambridge.org/koberlein.
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650 0 $a Mathematica (Computer program language) $3 550295
700 1 $a Meisel, David D. $3 711307
856 4 0 $u https://doi.org/10.1017/CBO9780511863172

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