語系:
繁體中文
English
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
Dynamic optimization = deterministic...
~
Hinderer, Karl.
FindBook
Google Book
Amazon
博客來
Dynamic optimization = deterministic and stochastic models /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Dynamic optimization/ by Karl Hinderer, Ulrich Rieder, Michael Stieglitz.
其他題名:
deterministic and stochastic models /
作者:
Hinderer, Karl.
其他作者:
Rieder, Ulrich.
出版者:
Cham :Springer International Publishing : : 2016.,
面頁冊數:
xxii, 530 p. :ill., digital ;24 cm.
內容註:
Introduction and Organization of the Book -- Part I Deterministic Models -- Part II Markovian Decision Processes -- Part III Generalizations of Markovian Decision Processes -- Part IV Appendix.
Contained By:
Springer eBooks
標題:
Mathematical optimization. -
電子資源:
http://dx.doi.org/10.1007/978-3-319-48814-1
ISBN:
9783319488141
Dynamic optimization = deterministic and stochastic models /
Hinderer, Karl.
Dynamic optimization
deterministic and stochastic models /[electronic resource] :by Karl Hinderer, Ulrich Rieder, Michael Stieglitz. - Cham :Springer International Publishing :2016. - xxii, 530 p. :ill., digital ;24 cm. - Universitext,0172-5939. - Universitext..
Introduction and Organization of the Book -- Part I Deterministic Models -- Part II Markovian Decision Processes -- Part III Generalizations of Markovian Decision Processes -- Part IV Appendix.
This book explores discrete-time dynamic optimization and provides a detailed introduction to both deterministic and stochastic models. Covering problems with finite and infinite horizon, as well as Markov renewal programs, Bayesian control models and partially observable processes, the book focuses on the precise modelling of applications in a variety of areas, including operations research, computer science, mathematics, statistics, engineering, economics and finance. Dynamic Optimization is a carefully presented textbook which starts with discrete-time deterministic dynamic optimization problems, providing readers with the tools for sequential decision-making, before proceeding to the more complicated stochastic models. The authors present complete and simple proofs and illustrate the main results with numerous examples and exercises (without solutions) With relevant material covered in four appendices, this book is completely self-contained.
ISBN: 9783319488141
Standard No.: 10.1007/978-3-319-48814-1doiSubjects--Topical Terms:
517763
Mathematical optimization.
LC Class. No.: QA402.5
Dewey Class. No.: 519.6
Dynamic optimization = deterministic and stochastic models /
LDR
:02229nmm a2200349 a 4500
001
2084191
003
DE-He213
005
20170116131623.0
006
m d
007
cr nn 008maaau
008
170820s2016 gw s 0 eng d
020
$a
9783319488141
$q
(electronic bk.)
020
$a
9783319488134
$q
(paper)
024
7
$a
10.1007/978-3-319-48814-1
$2
doi
035
$a
978-3-319-48814-1
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA402.5
072
7
$a
KJT
$2
bicssc
072
7
$a
KJM
$2
bicssc
072
7
$a
BUS049000
$2
bisacsh
072
7
$a
BUS042000
$2
bisacsh
082
0 4
$a
519.6
$2
23
090
$a
QA402.5
$b
.H662 2016
100
1
$a
Hinderer, Karl.
$3
3210097
245
1 0
$a
Dynamic optimization
$h
[electronic resource] :
$b
deterministic and stochastic models /
$c
by Karl Hinderer, Ulrich Rieder, Michael Stieglitz.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2016.
300
$a
xxii, 530 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Universitext,
$x
0172-5939
505
0
$a
Introduction and Organization of the Book -- Part I Deterministic Models -- Part II Markovian Decision Processes -- Part III Generalizations of Markovian Decision Processes -- Part IV Appendix.
520
$a
This book explores discrete-time dynamic optimization and provides a detailed introduction to both deterministic and stochastic models. Covering problems with finite and infinite horizon, as well as Markov renewal programs, Bayesian control models and partially observable processes, the book focuses on the precise modelling of applications in a variety of areas, including operations research, computer science, mathematics, statistics, engineering, economics and finance. Dynamic Optimization is a carefully presented textbook which starts with discrete-time deterministic dynamic optimization problems, providing readers with the tools for sequential decision-making, before proceeding to the more complicated stochastic models. The authors present complete and simple proofs and illustrate the main results with numerous examples and exercises (without solutions) With relevant material covered in four appendices, this book is completely self-contained.
650
0
$a
Mathematical optimization.
$3
517763
650
1 4
$a
Mathematics.
$3
515831
650
2 4
$a
Operations Research, Management Science.
$3
1532996
650
2 4
$a
Systems Theory, Control.
$3
893834
650
2 4
$a
Discrete Optimization.
$3
2054320
650
2 4
$a
Probability Theory and Stochastic Processes.
$3
891080
700
1
$a
Rieder, Ulrich.
$3
3210098
700
1
$a
Stieglitz, Michael.
$3
3210099
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
830
0
$a
Universitext.
$3
812115
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-48814-1
950
$a
Mathematics and Statistics (Springer-11649)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
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
W9313440
電子資源
11.線上閱覽_V
電子書
EB QA402.5 .H662 2016
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入