語系:
繁體中文
English
說明(常見問題)
圖資館首頁
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Computational methods in physicscomp...
~
Horvat, Martin.
Computational methods in physicscompendium for students /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Computational methods in physicsby Simon Sirca, Martin Horvat.
其他題名:
compendium for students /
作者:
Sirca, Simon.
其他作者:
Horvat, Martin.
出版者:
Cham :Springer International Publishing :2018.
面頁冊數:
xxiv, 880 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
標題:
Mathematical physics.
電子資源:
http://dx.doi.org/10.1007/978-3-319-78619-3
ISBN:
9783319786193$q(electronic bk.)
Computational methods in physicscompendium for students /
Sirca, Simon.
Computational methods in physics
compendium for students /[electronic resource] :by Simon Sirca, Martin Horvat. - 2nd ed. - Cham :Springer International Publishing :2018. - xxiv, 880 p. :ill. (some col.), digital ;24 cm. - Graduate texts in physics,1868-4513. - Graduate texts in physics..
Basics of numerical analysis -- Solution of nonlinear equations -- Matrix methods -- Transformations of functions and signals -- Statistical description and modeling of data -- Modeling and analysis of time series -- Initial-value problems for ordinary differential equations -- Boundary-value problems for ordinary differential equations -- Difference methods for one-dimensional partial differential equations -- Difference methods for partial differential equations in more than one dim -- Spectral methods for partial differential equations -- Inverse methods.
This book is intended to help advanced undergraduate, graduate, and postdoctoral students in their daily work by offering them a compendium of numerical methods. The choice of methods pays significant attention to error estimates, stability and convergence issues, as well as optimization of program execution speeds. Numerous examples are given throughout the chapters, followed by comprehensive end-of-chapter problems with a more pronounced physics background, while less stress is given to the explanation of individual algorithms. The readers are encouraged to develop a certain amount of skepticism and scrutiny instead of blindly following readily available commercial tools. The second edition has been enriched by a chapter on inverse problems dealing with the solution of integral equations, inverse Sturm-Liouville problems, as well as retrospective and recovery problems for partial differential equations. The revised text now includes an introduction to sparse matrix methods, the solution of matrix equations, and pseudospectra of matrices; it discusses the sparse Fourier, non-uniform Fourier and discrete wavelet transformations, the basics of non-linear regression and the Kolmogorov-Smirnov test; it demonstrates the key concepts in solving stiff differential equations and the asymptotics of Sturm-Liouville eigenvalues and eigenfunctions. Among other updates, it also presents the techniques of state-space reconstruction, methods to calculate the matrix exponential, generate random permutations and compute stable derivatives.
ISBN: 9783319786193$q(electronic bk.)
Standard No.: 10.1007/978-3-319-78619-3doiSubjects--Topical Terms:
190854
Mathematical physics.
LC Class. No.: QC20
Dewey Class. No.: 530.15
Computational methods in physicscompendium for students /
LDR
:03150nmm a2200337 a 4500
001
540885
003
DE-He213
005
20190114141927.0
006
m d
007
cr nn 008maaau
008
190308s2018 gw s 0 eng d
020
$a
9783319786193$q(electronic bk.)
020
$a
9783319786186$q(paper)
024
7
$a
10.1007/978-3-319-78619-3
$2
doi
035
$a
978-3-319-78619-3
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QC20
072
7
$a
PHU
$2
bicssc
072
7
$a
SCI040000
$2
bisacsh
082
0 4
$a
530.15
$2
23
090
$a
QC20
$b
.S619 2018
100
1
$a
Sirca, Simon.
$3
592232
245
1 0
$a
Computational methods in physics
$h
[electronic resource] :
$b
compendium for students /
$c
by Simon Sirca, Martin Horvat.
250
$a
2nd ed.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2018.
300
$a
xxiv, 880 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Graduate texts in physics,
$x
1868-4513
505
0
$a
Basics of numerical analysis -- Solution of nonlinear equations -- Matrix methods -- Transformations of functions and signals -- Statistical description and modeling of data -- Modeling and analysis of time series -- Initial-value problems for ordinary differential equations -- Boundary-value problems for ordinary differential equations -- Difference methods for one-dimensional partial differential equations -- Difference methods for partial differential equations in more than one dim -- Spectral methods for partial differential equations -- Inverse methods.
520
$a
This book is intended to help advanced undergraduate, graduate, and postdoctoral students in their daily work by offering them a compendium of numerical methods. The choice of methods pays significant attention to error estimates, stability and convergence issues, as well as optimization of program execution speeds. Numerous examples are given throughout the chapters, followed by comprehensive end-of-chapter problems with a more pronounced physics background, while less stress is given to the explanation of individual algorithms. The readers are encouraged to develop a certain amount of skepticism and scrutiny instead of blindly following readily available commercial tools. The second edition has been enriched by a chapter on inverse problems dealing with the solution of integral equations, inverse Sturm-Liouville problems, as well as retrospective and recovery problems for partial differential equations. The revised text now includes an introduction to sparse matrix methods, the solution of matrix equations, and pseudospectra of matrices; it discusses the sparse Fourier, non-uniform Fourier and discrete wavelet transformations, the basics of non-linear regression and the Kolmogorov-Smirnov test; it demonstrates the key concepts in solving stiff differential equations and the asymptotics of Sturm-Liouville eigenvalues and eigenfunctions. Among other updates, it also presents the techniques of state-space reconstruction, methods to calculate the matrix exponential, generate random permutations and compute stable derivatives.
650
0
$a
Mathematical physics.
$3
190854
650
1 4
$a
Physics.
$3
179414
650
2 4
$a
Numerical and Computational Physics, Simulation.
$3
758154
650
2 4
$a
Theoretical and Computational Chemistry.
$3
273882
650
2 4
$a
Mathematical and Computational Engineering.
$3
775095
650
2 4
$a
Computational Science and Engineering.
$3
274685
700
1
$a
Horvat, Martin.
$3
592233
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Graduate texts in physics.
$3
513710
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-78619-3
950
$a
Physics and Astronomy (Springer-11651)
筆 0 讀者評論
全部
電子館藏
館藏
1 筆 • 頁數 1 •
1
條碼號
館藏地
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
000000160642
電子館藏
1圖書
電子書
EB QC20 S619 2018 2018
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
多媒體檔案
http://dx.doi.org/10.1007/978-3-319-78619-3
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼
登入