語系:
繁體中文
English
日文
簡体中文
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Spectral methods for time-dependent ...
~
Gottlieb, David,
Spectral methods for time-dependent problems /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
杜威分類號:
515.3535
書名/作者:
Spectral methods for time-dependent problems // Jan S. Hesthaven, Sigal Gottlieb, David Gottlieb.
作者:
Hesthaven, Jan S.,
其他作者:
Gottlieb, Sigal,
面頁冊數:
1 online resource (ix, 273 pages) : : digital, PDF file(s).
附註:
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:
Spectral theory (Mathematics)
標題:
Differential equations, Partial.
標題:
Differential equations, Hyperbolic.
ISBN:
9780511618352 (ebook)
摘要、提要註:
Spectral methods are well-suited to solve problems modeled by time-dependent partial differential equations: they are fast, efficient and accurate and widely used by mathematicians and practitioners. This class-tested 2007 introduction, the first on the subject, is ideal for graduate courses, or self-study. The authors describe the basic theory of spectral methods, allowing the reader to understand the techniques through numerous examples as well as more rigorous developments. They provide a detailed treatment of methods based on Fourier expansions and orthogonal polynomials (including discussions of stability, boundary conditions, filtering, and the extension from the linear to the nonlinear situation). Computational solution techniques for integration in time are dealt with by Runge-Kutta type methods. Several chapters are devoted to material not previously covered in book form, including stability theory for polynomial methods, techniques for problems with discontinuous solutions, round-off errors and the formulation of spectral methods on general grids. These will be especially helpful for practitioners.
電子資源:
http://dx.doi.org/10.1017/CBO9780511618352
Spectral methods for time-dependent problems /
Hesthaven, Jan S.,
Spectral methods for time-dependent problems /
Jan S. Hesthaven, Sigal Gottlieb, David Gottlieb. - 1 online resource (ix, 273 pages) :digital, PDF file(s). - Cambridge monographs on applied and computational mathematics ;21. - Cambridge monographs on applied and computational mathematics ;14..
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
Spectral methods are well-suited to solve problems modeled by time-dependent partial differential equations: they are fast, efficient and accurate and widely used by mathematicians and practitioners. This class-tested 2007 introduction, the first on the subject, is ideal for graduate courses, or self-study. The authors describe the basic theory of spectral methods, allowing the reader to understand the techniques through numerous examples as well as more rigorous developments. They provide a detailed treatment of methods based on Fourier expansions and orthogonal polynomials (including discussions of stability, boundary conditions, filtering, and the extension from the linear to the nonlinear situation). Computational solution techniques for integration in time are dealt with by Runge-Kutta type methods. Several chapters are devoted to material not previously covered in book form, including stability theory for polynomial methods, techniques for problems with discontinuous solutions, round-off errors and the formulation of spectral methods on general grids. These will be especially helpful for practitioners.
ISBN: 9780511618352 (ebook)Subjects--Topical Terms:
404558
Spectral theory (Mathematics)
LC Class. No.: QC20.7.S64 / H47 2007
Dewey Class. No.: 515.3535
Spectral methods for time-dependent problems /
LDR
:02197nam a22002898i 4500
001
448240
003
UkCbUP
005
20151005020623.0
006
m|||||o||d||||||||
007
cr||||||||||||
008
161201s2007||||enk o ||1 0|eng|d
020
$a
9780511618352 (ebook)
020
$z
9780521792110 (hardback)
035
$a
CR9780511618352
040
$a
UkCbUP
$b
eng
$e
rda
$c
UkCbUP
050
0 0
$a
QC20.7.S64
$b
H47 2007
082
0 0
$a
515.3535
$2
22
100
1
$a
Hesthaven, Jan S.,
$e
author.
$3
642580
245
1 0
$a
Spectral methods for time-dependent problems /
$c
Jan S. Hesthaven, Sigal Gottlieb, David Gottlieb.
264
1
$a
Cambridge :
$b
Cambridge University Press,
$c
2007.
300
$a
1 online resource (ix, 273 pages) :
$b
digital, PDF file(s).
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
490
1
$a
Cambridge monographs on applied and computational mathematics ;
$v
21
500
$a
Title from publisher's bibliographic system (viewed on 05 Oct 2015).
520
$a
Spectral methods are well-suited to solve problems modeled by time-dependent partial differential equations: they are fast, efficient and accurate and widely used by mathematicians and practitioners. This class-tested 2007 introduction, the first on the subject, is ideal for graduate courses, or self-study. The authors describe the basic theory of spectral methods, allowing the reader to understand the techniques through numerous examples as well as more rigorous developments. They provide a detailed treatment of methods based on Fourier expansions and orthogonal polynomials (including discussions of stability, boundary conditions, filtering, and the extension from the linear to the nonlinear situation). Computational solution techniques for integration in time are dealt with by Runge-Kutta type methods. Several chapters are devoted to material not previously covered in book form, including stability theory for polynomial methods, techniques for problems with discontinuous solutions, round-off errors and the formulation of spectral methods on general grids. These will be especially helpful for practitioners.
650
0
$a
Spectral theory (Mathematics)
$3
404558
650
0
$a
Differential equations, Partial.
$3
389324
650
0
$a
Differential equations, Hyperbolic.
$3
467514
700
1
$a
Gottlieb, Sigal,
$e
author.
$3
642581
700
1
$a
Gottlieb, David,
$e
author.
$3
642582
776
0 8
$i
Print version:
$z
9780521792110
830
0
$a
Cambridge monographs on applied and computational mathematics ;
$v
14.
$3
642426
856
4 0
$u
http://dx.doi.org/10.1017/CBO9780511618352
筆 0 讀者評論
多媒體
多媒體檔案
http://dx.doi.org/10.1017/CBO9780511618352
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