未读消息消息

店铺

我的订单收藏

拍卖

拍卖交易我的竞拍收藏

我的好友资金账户

客服 |

帮助中心 9:00-20:30 在线留言

客服电话

010-89648155

服务时间

客服咨询 8:00-21:00

纠纷处理 9:00-21:00

图书审核 9:00-18:00

监督与建议

请选择

手机孔网

Stochastic Partial Differential Equations

Stochastic Partial Differential Equations

分享

作者: Sergey V. Lototsky, Boris L. Rozovsky 作者

出版社: Springer

出版时间: 2017-07

ISBN: 3319586459 或 9783319586458

定价: 298.85

装帧: 平装

开本: 其他

页数: 508页

正文语种: 英语

丛书: Universitext

分类: 外文古旧书>德文书>文学

1 张插图图片

Taking readers with a basic knowledge of probability and real analysis to the frontiers of a very active research discipline, this textbook provides all the necessary background from functional analysis and the theory of PDEs. It covers the main types of equations (elliptic, hyperbolic and parabolic) and discusses different types of random forcing. The objective is to give the reader the necessary tools to understand the proofs of existing theorems about SPDEs (from other sources) and perhaps even to formulate and prove a few new ones. Most of the material could be covered in about 40 hours of lectures, as long as not too much time is spent on the general discussion of stochastic analysis in infinite dimensions.
  As the subject of SPDEs is currently making the transition from the research level to that of a graduate or even undergraduate course, the book attempts to present enough exercise material to fill potential exams and homework assignments. Exercises appear throughout and are usually directly connected to the material discussed at a particular place in the text. The questions usually ask to verify something, so that the reader already knows the answer and, if pressed for time, can move on. Accordingly, no solutions are provided, but there are often hints on how to proceed. The book will be of interest to everybody working in the area of stochastic analysis, from beginning graduate students to experts in the field.
                                 Sergey Lototsky earned a Master’s degree in Physics in 1992 from the Moscow Institute of Physics and Technology, followed by a PhD in Applied Mathematics in 1996 from the University of Southern California. After a year-long post-doc at the Institute for Mathematics and its Applications and a three-year term as a Moore Instructor at MIT, he returned to the department of Mathematics at USC as a faculty member in 2000. He specializes in stochastic analysis, with emphasis on stochastic differential equations. He has supervised more than 10 PhD students and has held visiting positions at the Mittag-Leffler Institute in Sweden and at several universities in Israel and Italy.
内容简介:
Taking readers with a basic knowledge of probability and real analysis to the frontiers of a very active research discipline, this textbook provides all the necessary background from functional analysis and the theory of PDEs. It covers the main types of equations (elliptic, hyperbolic and parabolic) and discusses different types of random forcing. The objective is to give the reader the necessary tools to understand the proofs of existing theorems about SPDEs (from other sources) and perhaps even to formulate and prove a few new ones. Most of the material could be covered in about 40 hours of lectures, as long as not too much time is spent on the general discussion of stochastic analysis in infinite dimensions.
As the subject of SPDEs is currently making the transition from the research level to that of a graduate or even undergraduate course, the book attempts to present enough exercise material to fill potential exams and homework assignments. Exercises appear throughout and are usually directly connected to the material discussed at a particular place in the text. The questions usually ask to verify something, so that the reader already knows the answer and, if pressed for time, can move on. Accordingly, no solutions are provided, but there are often hints on how to proceed. The book will be of interest to everybody working in the area of stochastic analysis, from beginning graduate students to experts in the field.
作者简介:

Sergey Lototsky earned a Master’s degree in Physics in 1992 from the Moscow Institute of Physics and Technology, followed by a PhD in Applied Mathematics in 1996 from the University of Southern California. After a year-long post-doc at the Institute for Mathematics and its Applications and a three-year term as a Moore Instructor at MIT, he returned to the department of Mathematics at USC as a faculty member in 2000. He specializes in stochastic analysis, with emphasis on stochastic differential equations. He has supervised more than 10 PhD students and has held visiting positions at the Mittag-Leffler Institute in Sweden and at several universities in Israel and Italy.
目录:

查看详情

相关分类

Literature&Fiction文学与虚构 ScienceFiction&Fantasy科幻与玄幻 Romance浪漫小说 Mystery&Thrillers神秘与惊悚 Teens青少年读物 Biographies&Memoirs传记与自传 Comics&GraphicNovels动漫与绘画小说 ELT英语学习 Reference参考书 StandardTest标准考试 Business&Investing商业与投资 Self-Help励志自助 ManagementLeadership经营管理 Arts&Photography艺术与摄影

现货随机偏微分方程(大学版)Stochastic Partial Differential Equations (Universitext)

九五品

阅世界原版图书专营店

上海市浦东新区

平均发货20小时成功完成率96.83%

￥679.00

券

100减20

立即购买加入购物车