東華大學圖書館 |

語系: 繁體中文

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

Operator Splitting Method and Its Ap...

Wang, Jiazhou.

FindBook

Google Book

Amazon

博客來

Operator Splitting Method and Its Applications in Quantitative Finance.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Operator Splitting Method and Its Applications in Quantitative Finance./
作者:	Wang, Jiazhou.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
面頁冊數:	129 p.
附註:	Source: Dissertations Abstracts International, Volume: 80-10, Section: B.
Contained By:	Dissertations Abstracts International80-10B.
標題:	Applied Mathematics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13424962
ISBN:	9781392059708

Operator Splitting Method and Its Applications in Quantitative Finance.
Wang, Jiazhou.

Operator Splitting Method and Its Applications in Quantitative Finance. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 129 p.

Source: Dissertations Abstracts International, Volume: 80-10, Section: B.

Thesis (Ph.D.)--State University of New York at Stony Brook, 2018.

This item must not be sold to any third party vendors.

Numerical method plays main role in quantitative finance, such as stochastic differential equations and portfolio optimization. In this thesis, we consider two operator splitting methods as the numerical schemes. First, we consider Forward-Backward splitting in the portfolio optimization. We propose two methods: proximal gradient Newton (PGN) method and proximal gradient diagonal Hessian (PGDH) method. These two methods have significant better performance in both execution time and accuracy than other known methods. Second, we consider Peaceman-Rachford splitting in the SDEs. We propose using Peaceman-Rachford splitting as a novel scheme solving SDEs. Numerical result shows that the proposed scheme outperforms other classical numerical schemes.

ISBN: 9781392059708Subjects--Topical Terms:

1669109
Applied Mathematics.

Operator Splitting Method and Its Applications in Quantitative Finance.
LDR:01824nmm a2200313 4500 001 2210955
005 20191126113901.5
008 201008s2018 ||||||||||||||||| ||eng d
020 $a 9781392059708
035 $a (MiAaPQ)AAI13424962
035 $a (MiAaPQ)grad.sunysb:14050
035 $a AAI13424962
040 $a MiAaPQ $c MiAaPQ
100 1 $a Wang, Jiazhou. $3 3438099
245 1 0 $a Operator Splitting Method and Its Applications in Quantitative Finance.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 129 p.
500 $a Source: Dissertations Abstracts International, Volume: 80-10, Section: B.
500 $a Publisher info.: Dissertation/Thesis.
500 $a Advisor: Mullhaupt, Andrew.
502 $a Thesis (Ph.D.)--State University of New York at Stony Brook, 2018.
506 $a This item must not be sold to any third party vendors.
520 $a Numerical method plays main role in quantitative finance, such as stochastic differential equations and portfolio optimization. In this thesis, we consider two operator splitting methods as the numerical schemes. First, we consider Forward-Backward splitting in the portfolio optimization. We propose two methods: proximal gradient Newton (PGN) method and proximal gradient diagonal Hessian (PGDH) method. These two methods have significant better performance in both execution time and accuracy than other known methods. Second, we consider Peaceman-Rachford splitting in the SDEs. We propose using Peaceman-Rachford splitting as a novel scheme solving SDEs. Numerical result shows that the proposed scheme outperforms other classical numerical schemes.
590 $a School code: 0771.
650 4 $a Applied Mathematics. $3 1669109
690 $a 0364
710 2 $a State University of New York at Stony Brook. $b Applied Mathematics and Statistics. $3 1684041
773 0 $t Dissertations Abstracts International $g 80-10B.
790 $a 0771
791 $a Ph.D.
792 $a 2018
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=13424962