東華大學圖書館 |

語系: 繁體中文

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

Computational management science = s...

Fonseca, Raquel J.

FindBook

Google Book

Amazon

博客來

Computational management science = state of the art 2014 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computational management science/ edited by Raquel J. Fonseca, Gerhard-Wilhelm Weber, Joao Telhada.
其他題名:	state of the art 2014 /
其他作者:	Fonseca, Raquel J.
出版者:	Cham :Springer International Publishing : : 2016.,
面頁冊數:	xxi, 245 p. :ill., digital ;24 cm.
內容註:	Part I: Energy -- Part II: Logistics -- Part III: Production -- Part IV: Optimization Methods.
Contained By:	Springer eBooks
標題:	Management science - Congresses. - Data processing -
電子資源:	http://dx.doi.org/10.1007/978-3-319-20430-7
ISBN:	9783319204307$q(electronic bk.)

Computational management science = state of the art 2014 /
Computational management sciencestate of the art 2014 /[electronic resource] :edited by Raquel J. Fonseca, Gerhard-Wilhelm Weber, Joao Telhada. - Cham :Springer International Publishing :2016. - xxi, 245 p. :ill., digital ;24 cm. - Lecture notes in economics and mathematical systems,6820075-8442 ;. - Lecture notes in economics and mathematical systems ;655..

Part I: Energy -- Part II: Logistics -- Part III: Production -- Part IV: Optimization Methods.

This volume contains contributions from the 11th International Conference on Management Science (CMS 2014), held at Lisbon, Portugal, on May 29-31, 2014. Its contents reflect the wide scope of Management Science, covering different theoretical aspects for a quite diverse set of applications. Computational Management Science provides a unique perspective in relevant decision-making processes by focusing on all its computational aspects. These include computational economics, finance and statistics; energy; scheduling; supply chains; design, analysis and applications of optimization algorithms; deterministic, dynamic, stochastic, robust and combinatorial optimization models; solution algorithms, learning and forecasting such as neural networks and genetic algorithms; models and tools of knowledge acquisition, such as data mining; and all other topics in management science with the emphasis on computational paradigms.

ISBN: 9783319204307$q(electronic bk.)

Standard No.: 10.1007/978-3-319-20430-7doiSubjects--Topical Terms:

2071700
Management science
--Data processing--Congresses.

LC Class. No.: T55.45

Dewey Class. No.: 658

Computational management science = state of the art 2014 /
LDR:02115nmm a2200337 a 4500 001 2029699
003 DE-He213
005 20160804151122.0
006 m d
007 cr nn 008maaau
008 160908s2016 gw s 0 eng d
020 $a 9783319204307$q(electronic bk.)
020 $a 9783319204291$q(paper)
024 7 $a 10.1007/978-3-319-20430-7 $2 doi
035 $a 978-3-319-20430-7
040 $a GP $c GP
041 0 $a eng
050 4 $a T55.45
072 7 $a KJT $2 bicssc
072 7 $a KJMD $2 bicssc
072 7 $a BUS049000 $2 bisacsh
082 0 4 $a 658 $2 23
090 $a T55.45 $b .C738 2016
245 0 0 $a Computational management science $h [electronic resource] : $b state of the art 2014 / $c edited by Raquel J. Fonseca, Gerhard-Wilhelm Weber, Joao Telhada.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2016.
300 $a xxi, 245 p. : $b ill., digital ; $c 24 cm.
490 1 $a Lecture notes in economics and mathematical systems, $x 0075-8442 ; $v 682
505 0 $a Part I: Energy -- Part II: Logistics -- Part III: Production -- Part IV: Optimization Methods.
520 $a This volume contains contributions from the 11th International Conference on Management Science (CMS 2014), held at Lisbon, Portugal, on May 29-31, 2014. Its contents reflect the wide scope of Management Science, covering different theoretical aspects for a quite diverse set of applications. Computational Management Science provides a unique perspective in relevant decision-making processes by focusing on all its computational aspects. These include computational economics, finance and statistics; energy; scheduling; supply chains; design, analysis and applications of optimization algorithms; deterministic, dynamic, stochastic, robust and combinatorial optimization models; solution algorithms, learning and forecasting such as neural networks and genetic algorithms; models and tools of knowledge acquisition, such as data mining; and all other topics in management science with the emphasis on computational paradigms.
650 0 $a Management science $x Data processing $v Congresses. $3 2071700
650 0 $a Business $x Data processing $3 702220
650 0 $a Industrial management $x Data processing $v Congresses. $3 2180897
650 0 $a Logistics $x Data processing $v Congresses. $3 2180898
650 1 4 $a Business and Management. $2 eflch $3 1485455
650 2 4 $a Operation Research/Decision Theory. $3 1620900
650 2 4 $a Operations Research, Management Science. $3 1532996
650 2 4 $a Energy Economics. $3 895644
650 2 4 $a Quantitative Finance. $3 891090
700 1 $a Fonseca, Raquel J. $3 2180894
700 1 $a Weber, Gerhard-Wilhelm. $3 2180895
700 1 $a Telhada, Joao. $3 2180896
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Lecture notes in economics and mathematical systems ; $v 655. $3 1565840
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-20430-7
950 $a Business and Management (Springer-41169)