國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Multi-composed programming with appl...

SpringerLink (Online service)

Multi-composed programming with applications to facility location

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Multi-composed programming with applications to facility locationby Oleg Wilfer.
作者:	Wilfer, Oleg.
出版者:	Wiesbaden :Springer Fachmedien Wiesbaden :2020.
面頁冊數:	xix, 192 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Mathematical optimization.
電子資源:	https://doi.org/10.1007/978-3-658-30580-2
ISBN:	9783658305802$q(electronic bk.)

Multi-composed programming with applications to facility location
Wilfer, Oleg.

Multi-composed programming with applications to facility location[electronic resource] /by Oleg Wilfer. - Wiesbaden :Springer Fachmedien Wiesbaden :2020. - xix, 192 p. :ill., digital ;24 cm. - Mathematische optimierung und wirtschaftsmathematik | Mathematical optimization and economathematics,2523-7926. - Mathematische optimierung und wirtschaftsmathematik | Mathematical optimization and economathematics..

Lagrange Duality for Multi-Composed Optimization Problems -- Duality Results for Minmax Location Problems -- Solving Minmax Location Problems via Epigraphical Projection -- Numerical Experiments.

Oleg Wilfer presents a new conjugate duality concept for geometric and cone constrained optimization problems whose objective functions are a composition of finitely many functions. As an application, the author derives results for single minmax location problems formulated by means of extended perturbed minimal time functions as well as for multi-facility minmax location problems defined by gauges. In addition, he provides formulae of projections onto the epigraphs of gauges to solve these kinds of location problems numerically by using parallel splitting algorithms. Numerical comparisons of recent methods show the excellent performance of the proposed solving technique. Contents Lagrange Duality for Multi-Composed Optimization Problems Duality Results for Minmax Location Problems Solving Minmax Location Problems via Epigraphical Projection Numerical Experiments Target Groups Scientists and students in the field of mathematics, applied mathematics and mathematical economics Practitioners in these fields and mathematical optimization as well as operations research About the Author Dr. Oleg Wilfer received his PhD at the Faculty of Mathematics of Chemnitz University of Technology, Germany. He is currently working as a development engineer in the automotive industry.

ISBN: 9783658305802$q(electronic bk.)

Standard No.: 10.1007/978-3-658-30580-2doiSubjects--Topical Terms:

183292
Mathematical optimization.

LC Class. No.: QA402.5 / .W554 2020

Dewey Class. No.: 519.6

Multi-composed programming with applications to facility location
LDR:02535nmm a2200337 a 4500 001 579855
003 DE-He213
005 20201007134611.0
006 m
007 cr
008 201229s2020
020 $a 9783658305802$q(electronic bk.)
020 $a 9783658305796$q(paper)
024 7 $a 10.1007/978-3-658-30580-2 $2 doi
035 $a 978-3-658-30580-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402.5 $b .W554 2020
072 7 $a PBU $2 bicssc
072 7 $a MAT003000 $2 bisacsh
072 7 $a PBU $2 thema
082 0 4 $a 519.6 $2 23
090 $a QA402.5 $b .W677 2020
100 1 $a Wilfer, Oleg. $3 869346
245 1 0 $a Multi-composed programming with applications to facility location $h [electronic resource] / $c by Oleg Wilfer.
260 $a Wiesbaden : $b Springer Fachmedien Wiesbaden : $b Imprint: Springer Spektrum, $c 2020.
300 $a xix, 192 p. : $b ill., digital ; $c 24 cm.
490 1 $a Mathematische optimierung und wirtschaftsmathematik | Mathematical optimization and economathematics, $x 2523-7926
505 0 $a Lagrange Duality for Multi-Composed Optimization Problems -- Duality Results for Minmax Location Problems -- Solving Minmax Location Problems via Epigraphical Projection -- Numerical Experiments.
520 $a Oleg Wilfer presents a new conjugate duality concept for geometric and cone constrained optimization problems whose objective functions are a composition of finitely many functions. As an application, the author derives results for single minmax location problems formulated by means of extended perturbed minimal time functions as well as for multi-facility minmax location problems defined by gauges. In addition, he provides formulae of projections onto the epigraphs of gauges to solve these kinds of location problems numerically by using parallel splitting algorithms. Numerical comparisons of recent methods show the excellent performance of the proposed solving technique. Contents Lagrange Duality for Multi-Composed Optimization Problems Duality Results for Minmax Location Problems Solving Minmax Location Problems via Epigraphical Projection Numerical Experiments Target Groups Scientists and students in the field of mathematics, applied mathematics and mathematical economics Practitioners in these fields and mathematical optimization as well as operations research About the Author Dr. Oleg Wilfer received his PhD at the Faculty of Mathematics of Chemnitz University of Technology, Germany. He is currently working as a development engineer in the automotive industry.
650 0 $a Mathematical optimization. $3 183292
650 1 4 $a Continuous Optimization. $3 558846
650 2 4 $a Functional Analysis. $3 274845
650 2 4 $a Applications of Mathematics. $3 273744
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Mathematische optimierung und wirtschaftsmathematik | Mathematical optimization and economathematics. $3 869347
856 4 0 $u https://doi.org/10.1007/978-3-658-30580-2
950 $a Mathematics and Statistics (Springer-11649)