Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Geometric and numerical optimal cont...
~
Rouot, Jeremy.
Geometric and numerical optimal control = application to swimming at Low Reynolds number and magnetic resonance imaging /
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Geometric and numerical optimal control/ by Bernard Bonnard, Monique Chyba, Jeremy Rouot.
Reminder of title:
application to swimming at Low Reynolds number and magnetic resonance imaging /
Author:
Bonnard, Bernard.
other author:
Chyba, Monique.
Published:
Cham :Springer International Publishing : : 2018.,
Description:
xv, 108 p. :digital ; : 24 cm.;
Contained By:
Springer eBooks
Subject:
Control theory. -
Online resource:
http://dx.doi.org/10.1007/978-3-319-94791-4
ISBN:
9783319947914
Geometric and numerical optimal control = application to swimming at Low Reynolds number and magnetic resonance imaging /
Bonnard, Bernard.
Geometric and numerical optimal control
application to swimming at Low Reynolds number and magnetic resonance imaging /[electronic resource] :by Bernard Bonnard, Monique Chyba, Jeremy Rouot. - Cham :Springer International Publishing :2018. - xv, 108 p. :digital ;24 cm. - SpringerBriefs in mathematics,2191-8198. - SpringerBriefs in mathematics..
1 Historical part - Calculus of variations -- 2 Weak Maximum Principle and Application to Swimming at low Reynolds Number -- 3 Maximum Principle and Application to NMR and MRI -- 4 Conclusion.
This book introduces readers to techniques of geometric optimal control as well as the exposure and applicability of adapted numerical schemes. It is based on two real-world applications, which have been the subject of two current academic research programs and motivated by industrial use - the design of micro-swimmers and the contrast problem in medical resonance imaging. The recently developed numerical software has been applied to the cases studies presented here. The book is intended for use at the graduate and Ph.D. level to introduce students from applied mathematics and control engineering to geometric and computational techniques in optimal control.
ISBN: 9783319947914
Standard No.: 10.1007/978-3-319-94791-4doiSubjects--Topical Terms:
527674
Control theory.
LC Class. No.: QA402.3 / .B666 2018
Dewey Class. No.: 515.642
Geometric and numerical optimal control = application to swimming at Low Reynolds number and magnetic resonance imaging /
LDR
:02016nam a2200349 a 4500
001
927967
003
DE-He213
005
20190130110956.0
006
m d
007
cr nn 008maaau
008
190626s2018 gw s 0 eng d
020
$a
9783319947914
$q
(electronic bk.)
020
$a
9783319947907
$q
(paper)
024
7
$a
10.1007/978-3-319-94791-4
$2
doi
035
$a
978-3-319-94791-4
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA402.3
$b
.B666 2018
072
7
$a
PBKQ
$2
bicssc
072
7
$a
PBU
$2
bicssc
072
7
$a
MAT005000
$2
bisacsh
072
7
$a
MAT029020
$2
bisacsh
082
0 4
$a
515.642
$2
23
090
$a
QA402.3
$b
.B716 2018
100
1
$a
Bonnard, Bernard.
$3
1106876
245
1 0
$a
Geometric and numerical optimal control
$h
[electronic resource] :
$b
application to swimming at Low Reynolds number and magnetic resonance imaging /
$c
by Bernard Bonnard, Monique Chyba, Jeremy Rouot.
260
$a
Cham :
$c
2018.
$b
Springer International Publishing :
$b
Imprint: Springer,
300
$a
xv, 108 p. :
$b
digital ;
$c
24 cm.
490
1
$a
SpringerBriefs in mathematics,
$x
2191-8198
505
0
$a
1 Historical part - Calculus of variations -- 2 Weak Maximum Principle and Application to Swimming at low Reynolds Number -- 3 Maximum Principle and Application to NMR and MRI -- 4 Conclusion.
520
$a
This book introduces readers to techniques of geometric optimal control as well as the exposure and applicability of adapted numerical schemes. It is based on two real-world applications, which have been the subject of two current academic research programs and motivated by industrial use - the design of micro-swimmers and the contrast problem in medical resonance imaging. The recently developed numerical software has been applied to the cases studies presented here. The book is intended for use at the graduate and Ph.D. level to introduce students from applied mathematics and control engineering to geometric and computational techniques in optimal control.
650
0
$a
Control theory.
$3
527674
650
1 4
$a
Mathematics.
$3
527692
650
2 4
$a
Calculus of Variations and Optimal Control; Optimization.
$3
593942
650
2 4
$a
Neurosciences.
$3
593561
650
2 4
$a
Applications of Mathematics.
$3
669175
650
2 4
$a
Mathematical Modeling and Industrial Mathematics.
$3
669172
650
2 4
$a
Computer Appl. in Life Sciences.
$3
593908
700
1
$a
Chyba, Monique.
$3
1106877
700
1
$a
Rouot, Jeremy.
$3
1207647
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer eBooks
830
0
$a
SpringerBriefs in mathematics.
$3
883715
856
4 0
$u
http://dx.doi.org/10.1007/978-3-319-94791-4
950
$a
Mathematics and Statistics (Springer-11649)
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login