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Numerical methods in physics with Python[electronic resource] /

紀錄類型:	書目-電子資源 : Monograph/item
杜威分類號:	530.15028553
書名/作者:	Numerical methods in physics with Python/ Alex Gezerlis.
作者:	Gezerlis, Alex.
出版者:	Cambridge : : Cambridge University Press,, 2020.
面頁冊數:	xviii, 586 p. : : ill., digital ;; 24 cm.
附註:	Title from publisher's bibliographic system (viewed on 14 Aug 2020).
標題:	Mathematical physics - Data processing.
標題:	Numerical analysis - Data processing.
標題:	Python (Computer program language)
ISBN:	9781108772310
ISBN:	9781108488846
ISBN:	9781108738934
內容註:	Idiomatic Python -- Numbers -- Derivatives -- Matrices -- Roots -- Approximation -- Integrals -- Differential Equations.
摘要、提要註:	Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. Accompanying the mathematical derivations are full implementations of dozens of numerical methods in Python, as well as more than 250 end-of-chapter problems. Numerical methods and physics examples are clearly separated, allowing this introductory book to be later used as a reference; the penultimate section in each chapter is an in depth project, tackling physics problems which cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject.
電子資源:	https://doi.org/10.1017/9781108772310

Numerical methods in physics with Python[electronic resource] /
Gezerlis, Alex.

Numerical methods in physics with Python[electronic resource] /Alex Gezerlis. - Cambridge :Cambridge University Press,2020. - xviii, 586 p. :ill., digital ;24 cm.

Title from publisher's bibliographic system (viewed on 14 Aug 2020).

Idiomatic Python -- Numbers -- Derivatives -- Matrices -- Roots -- Approximation -- Integrals -- Differential Equations.

Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. Accompanying the mathematical derivations are full implementations of dozens of numerical methods in Python, as well as more than 250 end-of-chapter problems. Numerical methods and physics examples are clearly separated, allowing this introductory book to be later used as a reference; the penultimate section in each chapter is an in depth project, tackling physics problems which cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject.

ISBN: 9781108772310Subjects--Topical Terms:

624714
Mathematical physics
--Data processing.

LC Class. No.: QC20.7.N86 / G49 2020

Dewey Class. No.: 530.15028553

Numerical methods in physics with Python[electronic resource] /
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