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

FindBook

Google Book

Amazon

博客來

Optimization = an introduction /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Optimization/ by Libor Pekař.
其他題名:	an introduction /
作者:	Pekař, Libor.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	ix, 225 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction -- Analytic methods -- Iterative methods -- Linear programming -- Dynamic programming -- Introduction to the decision and game theory.
Contained By:	Springer Nature eBook
標題:	Mathematical optimization. -
電子資源:	https://doi.org/10.1007/978-3-031-86326-4
ISBN:	9783031863264

Optimization = an introduction /
Pekař, Libor.

Optimizationan introduction /[electronic resource] :by Libor Pekař. - Cham :Springer Nature Switzerland :2025. - ix, 225 p. :ill. (some col.), digital ;24 cm. - Studies in systems, decision and control,v. 2392198-4190 ;. - Studies in systems, decision and control ;v. 239..

Introduction -- Analytic methods -- Iterative methods -- Linear programming -- Dynamic programming -- Introduction to the decision and game theory.

This book covers analytic methods to solve one-dimensional and multi-dimensional problems with or without possible constraints, iterative numerical techniques based on the gradient calculation or its estimation, and numerical methods that do not require the knowledge of gradient and use only comparative iterative tests. This book provides the reader with a basic introduction to some traditional parameter optimization techniques. The presented problems and their solution methods represent a core of the parameter optimization reign since the 17th century to the 1970s. Linear and integer programming via the simplex table is also introduced. Two simple selected problems that are solved using dynamic programming principles are also given to the reader. A general approach to constraints via penalty and barrier functions is introduced. A concise introduction to the decision and game theory concludes the book. The book does not intend to provide the reader with a rigorous mathematic derivation of the presented methods. Its aim is instead to bring to the attention essential optimization tools for practitioners and undergraduate students and introduce selected well-established techniques to them when optimizing parameters of various models. Each method is described theoretically and supported by one or more numerical examples that vary from academic ones, through business economics to funny real-world problems that attract a broad audience. A sketch of Matlab code also follows numerical-based techniques. The author believes that the book finds its place in the libraries of many undergraduate students of various technical study programs and modern, thoughtful people worldwide, regardless of their expertise.

ISBN: 9783031863264

Standard No.: 10.1007/978-3-031-86326-4doiSubjects--Topical Terms:

517763
Mathematical optimization.

LC Class. No.: QA402.5

Dewey Class. No.: 519.6

Optimization = an introduction /
LDR:02920nmm a2200337 a 4500 001 2410323
003 DE-He213
005 20250520130241.0
006 m d
007 cr nn 008maaau
008 260204s2025 sz s 0 eng d
020 $a 9783031863264 $q (electronic bk.)
020 $a 9783031863257 $q (paper)
024 7 $a 10.1007/978-3-031-86326-4 $2 doi
035 $a 978-3-031-86326-4
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402.5
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQ $2 thema
082 0 4 $a 519.6 $2 23
090 $a QA402.5 $b .P379 2025
100 1 $a Pekař, Libor. $3 3784148
245 1 0 $a Optimization $h [electronic resource] : $b an introduction / $c by Libor Pekař.
260 $a Cham : $b Springer Nature Switzerland : $b Imprint: Springer, $c 2025.
300 $a ix, 225 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a Studies in systems, decision and control, $x 2198-4190 ; $v v. 239
505 0 $a Introduction -- Analytic methods -- Iterative methods -- Linear programming -- Dynamic programming -- Introduction to the decision and game theory.
520 $a This book covers analytic methods to solve one-dimensional and multi-dimensional problems with or without possible constraints, iterative numerical techniques based on the gradient calculation or its estimation, and numerical methods that do not require the knowledge of gradient and use only comparative iterative tests. This book provides the reader with a basic introduction to some traditional parameter optimization techniques. The presented problems and their solution methods represent a core of the parameter optimization reign since the 17th century to the 1970s. Linear and integer programming via the simplex table is also introduced. Two simple selected problems that are solved using dynamic programming principles are also given to the reader. A general approach to constraints via penalty and barrier functions is introduced. A concise introduction to the decision and game theory concludes the book. The book does not intend to provide the reader with a rigorous mathematic derivation of the presented methods. Its aim is instead to bring to the attention essential optimization tools for practitioners and undergraduate students and introduce selected well-established techniques to them when optimizing parameters of various models. Each method is described theoretically and supported by one or more numerical examples that vary from academic ones, through business economics to funny real-world problems that attract a broad audience. A sketch of Matlab code also follows numerical-based techniques. The author believes that the book finds its place in the libraries of many undergraduate students of various technical study programs and modern, thoughtful people worldwide, regardless of their expertise.
650 0 $a Mathematical optimization. $3 517763
650 1 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Applied Dynamical Systems. $3 3538870
650 2 4 $a Engineering Mathematics. $3 3301900
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
830 0 $a Studies in systems, decision and control ; $v v. 239. $3 3784149
856 4 0 $u https://doi.org/10.1007/978-3-031-86326-4
950 $a Intelligent Technologies and Robotics (SpringerNature-42732)