Language:
English
繁體中文
Help
圖資館首頁
Login
Back
to Search results for
[ author_sort:"vasile, massimiliano." ]
Switch To:
Labeled
|
MARC Mode
|
ISBD
Optimization under uncertainty with ...
~
SpringerLink (Online service)
Optimization under uncertainty with applications to aerospace engineering
Record Type:
Electronic resources : Monograph/item
Title/Author:
Optimization under uncertainty with applications to aerospace engineeringedited by Massimiliano Vasile.
other author:
Vasile, Massimiliano.
Published:
Cham :Springer International Publishing :2021.
Description:
vi, 573 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer Nature eBook
Subject:
Mathematical optimization.
Online resource:
https://doi.org/10.1007/978-3-030-60166-9
ISBN:
9783030601669$q(electronic bk.)
Optimization under uncertainty with applications to aerospace engineering
Optimization under uncertainty with applications to aerospace engineering
[electronic resource] /edited by Massimiliano Vasile. - Cham :Springer International Publishing :2021. - vi, 573 p. :ill. (some col.), digital ;24 cm.
In an expanding world with limited resources, optimization and uncertainty quantification have become a necessity when handling complex systems and processes. This book provides the foundational material necessary for those who wish to embark on advanced research at the limits of computability, collecting together lecture material from leading experts across the topics of optimization, uncertainty quantification and aerospace engineering. The aerospace sector in particular has stringent performance requirements on highly complex systems, for which solutions are expected to be optimal and reliable at the same time. The text covers a wide range of techniques and methods, from polynomial chaos expansions for uncertainty quantification to Bayesian and Imprecise Probability theories, and from Markov chains to surrogate models based on Gaussian processes. The book will serve as a valuable tool for practitioners, researchers and PhD students.
ISBN: 9783030601669$q(electronic bk.)
Standard No.: 10.1007/978-3-030-60166-9doiSubjects--Topical Terms:
183292
Mathematical optimization.
LC Class. No.: QA402.5
Dewey Class. No.: 519.6
Optimization under uncertainty with applications to aerospace engineering
LDR
:01938nmm a2200313 a 4500
001
600752
003
DE-He213
005
20210617091505.0
006
m d
007
cr nn 008maaau
008
211104s2021 sz s 0 eng d
020
$a
9783030601669$q(electronic bk.)
020
$a
9783030601652$q(paper)
024
7
$a
10.1007/978-3-030-60166-9
$2
doi
035
$a
978-3-030-60166-9
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA402.5
072
7
$a
PG
$2
bicssc
072
7
$a
SCI004000
$2
bisacsh
072
7
$a
PGC
$2
thema
082
0 4
$a
519.6
$2
23
090
$a
QA402.5
$b
.O62 2021
245
0 0
$a
Optimization under uncertainty with applications to aerospace engineering
$h
[electronic resource] /
$c
edited by Massimiliano Vasile.
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
vi, 573 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
520
$a
In an expanding world with limited resources, optimization and uncertainty quantification have become a necessity when handling complex systems and processes. This book provides the foundational material necessary for those who wish to embark on advanced research at the limits of computability, collecting together lecture material from leading experts across the topics of optimization, uncertainty quantification and aerospace engineering. The aerospace sector in particular has stringent performance requirements on highly complex systems, for which solutions are expected to be optimal and reliable at the same time. The text covers a wide range of techniques and methods, from polynomial chaos expansions for uncertainty quantification to Bayesian and Imprecise Probability theories, and from Markov chains to surrogate models based on Gaussian processes. The book will serve as a valuable tool for practitioners, researchers and PhD students.
650
0
$a
Mathematical optimization.
$3
183292
650
0
$a
Measurement uncertainty (Statistics)
$3
753526
650
0
$a
Aerospace engineering
$x
Mathematics.
$3
895421
650
1 4
$a
Astronomy, Astrophysics and Cosmology.
$3
273876
650
2 4
$a
Aerospace Technology and Astronautics.
$3
309707
650
2 4
$a
Optimization.
$3
274084
650
2 4
$a
Mathematical and Computational Engineering.
$3
775095
650
2 4
$a
Computational Science and Engineering.
$3
274685
700
1
$a
Vasile, Massimiliano.
$3
806885
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-3-030-60166-9
950
$a
Physics and Astronomy (SpringerNature-11651)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000199286
電子館藏
1圖書
電子書
EB QA402.5 .O62 2021 2021
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
https://doi.org/10.1007/978-3-030-60166-9
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login