語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Numerical methods in physics with Python
~
Gezerlis, Alex.
FindBook
Google Book
Amazon
博客來
Numerical methods in physics with Python
紀錄類型:
書目-電子資源 : Monograph/item
正題名/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).
內容註:
Idiomatic Python -- Numbers -- Derivatives -- Matrices -- Roots -- Approximation -- Integrals -- Differential Equations.
標題:
Mathematical physics - Data processing. -
電子資源:
https://doi.org/10.1017/9781108772310
ISBN:
9781108772310
Numerical methods in physics with Python
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:
534168
Mathematical physics
--Data processing.
LC Class. No.: QC20.7.N86 / G49 2020
Dewey Class. No.: 530.15028553
Numerical methods in physics with Python
LDR
:02025nmm a2200265 a 4500
001
2308985
003
UkCbUP
005
20200818154408.0
006
m d
007
cr nn 008maaau
008
230530s2020 enk o 1 0 eng d
020
$a
9781108772310
$q
(electronic bk.)
020
$a
9781108488846
$q
(hardback)
020
$a
9781108738934
$q
(paperback)
035
$a
CR9781108772310
040
$a
UkCbUP
$b
eng
$c
UkCbUP
$d
GP
050
0 0
$a
QC20.7.N86
$b
G49 2020
082
0 0
$a
530.15028553
$2
23
090
$a
QC20.7.N86
$b
G398 2020
100
1
$a
Gezerlis, Alex.
$3
3615947
245
1 0
$a
Numerical methods in physics with Python
$h
[electronic resource] /
$c
Alex Gezerlis.
260
$a
Cambridge :
$b
Cambridge University Press,
$c
2020.
300
$a
xviii, 586 p. :
$b
ill., digital ;
$c
24 cm.
500
$a
Title from publisher's bibliographic system (viewed on 14 Aug 2020).
505
0
$a
Idiomatic Python -- Numbers -- Derivatives -- Matrices -- Roots -- Approximation -- Integrals -- Differential Equations.
520
$a
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.
650
0
$a
Mathematical physics
$x
Data processing.
$3
534168
650
0
$a
Numerical analysis
$x
Data processing.
$3
532594
650
0
$a
Python (Computer program language)
$3
729789
856
4 0
$u
https://doi.org/10.1017/9781108772310
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9449052
電子資源
11.線上閱覽_V
電子書
EB QC20.7.N86 G49 2020
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入