高雄醫學大學圖書館 |

語系/ Language: 繁體中文

登入

回首頁 到查詢結果 [ subject:"White noise theory." ]

Let us use white noise

Streit, Ludwig, (1938- )

Let us use white noise

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Let us use white noise/ editors, T. Hida, L. Streit.
其他作者:	Streit, Ludwig,
出版者:	Singapore :World Scientific, : c2017.,
版本:	1st ed.
面頁冊數:	1 online resource (230 p.) :ill. :
附註:	Title from PDF file title page (viewed March 17, 2017)
提要註:	"Why should we use white noise analysis? Well, one reason of course is that it fills that earlier gap in the tool kit. As Hida would put it, white noise provides us with a useful set of independent coordinates, parametrized by "time". And there is a feature which makes white noise analysis extremely user-friendly. Typically the physicist -- and not only he -- sits there with some heuristic ansatz, like e.g. the famous Feynman "integral", wondering whether and how this might make sense mathematically. In many cases the characterization theorem of white noise analysis provides the user with a sweet and easy answer. Feynman's "integral" can now be understood, the "It's all in the vacuum" ansatz of Haag and Coester is now making sense via Dirichlet forms, and so on in many fields of application. There is mathematical finance, there have been applications in biology, and engineering, many more than we could collect in the present volume. Finally, there is one extra benefit: when we internalize the structures of Gaussian white noise analysis we will be ready to meet another close relative. We will enjoy the important similarities and differences which we encounter in the Poisson case, championed in particular by Y Kondratiev and his group. Let us look forward to a companion volume on the uses of Poisson white noise. The present volume is more than a collection of autonomous contributions. The introductory chapter on white noise analysis was made available to the other authors early on for reference and to facilitate conceptual and notational coherence in their work."--Publisher's website.
標題:	Electronic books. -
電子資源:	http://www.worldscientific.com/worldscibooks/10.1142/10472#t=toc
ISBN:	9789813220942

Let us use white noise
Let us use white noise[electronic resource] /editors, T. Hida, L. Streit. - 1st ed. - Singapore :World Scientific,c2017. - 1 online resource (230 p.) :ill.

Title from PDF file title page (viewed March 17, 2017)

Includes bibliographical references and index.

"Why should we use white noise analysis? Well, one reason of course is that it fills that earlier gap in the tool kit. As Hida would put it, white noise provides us with a useful set of independent coordinates, parametrized by "time". And there is a feature which makes white noise analysis extremely user-friendly. Typically the physicist -- and not only he -- sits there with some heuristic ansatz, like e.g. the famous Feynman "integral", wondering whether and how this might make sense mathematically. In many cases the characterization theorem of white noise analysis provides the user with a sweet and easy answer. Feynman's "integral" can now be understood, the "It's all in the vacuum" ansatz of Haag and Coester is now making sense via Dirichlet forms, and so on in many fields of application. There is mathematical finance, there have been applications in biology, and engineering, many more than we could collect in the present volume. Finally, there is one extra benefit: when we internalize the structures of Gaussian white noise analysis we will be ready to meet another close relative. We will enjoy the important similarities and differences which we encounter in the Poisson case, championed in particular by Y Kondratiev and his group. Let us look forward to a companion volume on the uses of Poisson white noise. The present volume is more than a collection of autonomous contributions. The introductory chapter on white noise analysis was made available to the other authors early on for reference and to facilitate conceptual and notational coherence in their work."--Publisher's website.

Mode of access: World Wide Web.

ISBN: 9789813220942

LCCN: 2017002271Subjects--Topical Terms:

334297
Electronic books.

LC Class. No.: QA274.29 / .L47 2017

Dewey Class. No.: 519.22

Let us use white noise
LDR:02511nam a2200277 a 4500 001 315481
003 WSP
005 20170313004837.6
006 m o d
007 cr cn|||||||||
008 181129s2017 si a ob 001 0 eng
010 $a 2017002271
020 $a 9789813220942 $q (electronic bk.)
020 $z 9789813220935 $q (hbk.)
035 $a 00010472
040 $a WSPC $b eng $c WSPC
050 0 4 $a QA274.29 $b .L47 2017
082 0 4 $a 519.22 $2 23
245 0 0 $a Let us use white noise $h [electronic resource] / $c editors, T. Hida, L. Streit.
250 $a 1st ed.
260 $a Singapore : $b World Scientific, $c c2017.
300 $a 1 online resource (230 p.) : $b ill.
500 $a Title from PDF file title page (viewed March 17, 2017)
504 $a Includes bibliographical references and index.
520 $a "Why should we use white noise analysis? Well, one reason of course is that it fills that earlier gap in the tool kit. As Hida would put it, white noise provides us with a useful set of independent coordinates, parametrized by "time". And there is a feature which makes white noise analysis extremely user-friendly. Typically the physicist -- and not only he -- sits there with some heuristic ansatz, like e.g. the famous Feynman "integral", wondering whether and how this might make sense mathematically. In many cases the characterization theorem of white noise analysis provides the user with a sweet and easy answer. Feynman's "integral" can now be understood, the "It's all in the vacuum" ansatz of Haag and Coester is now making sense via Dirichlet forms, and so on in many fields of application. There is mathematical finance, there have been applications in biology, and engineering, many more than we could collect in the present volume. Finally, there is one extra benefit: when we internalize the structures of Gaussian white noise analysis we will be ready to meet another close relative. We will enjoy the important similarities and differences which we encounter in the Poisson case, championed in particular by Y Kondratiev and his group. Let us look forward to a companion volume on the uses of Poisson white noise. The present volume is more than a collection of autonomous contributions. The introductory chapter on white noise analysis was made available to the other authors early on for reference and to facilitate conceptual and notational coherence in their work."--Publisher's website.
538 $a Mode of access: World Wide Web.
650 0 $a Electronic books. $3 334297
650 0 $a Stationary processes. $3 435904
650 0 $a Stochastic analysis. $3 296710
650 0 $a White noise theory. $3 435903
700 1 $a Streit, Ludwig, $d 1938- $3 435902
700 1 $a Hida, Takeyuki, $d 1927- $3 435901
856 4 0 $u http://www.worldscientific.com/worldscibooks/10.1142/10472#t=toc

筆 0 讀者評論

多媒體

評論

新增評論分享你的心得，請勿在此評論區張貼涉及人身攻擊、情緒謾罵、或內容涉及非法的不當言論，館方有權利刪除任何違反評論規則之發言，情節嚴重者一律停權，以維護所有讀者的自由言論空間。

Export

取書館別