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

Numerical analysis and optimizationN...

(1998 :)

Numerical analysis and optimizationNAO-III, Muscat, Oman, January 2014 /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Numerical analysis and optimizationedited by Mehiddin Al-Baali, Lucio Grandinetti, Anton Purnama.
其他題名:	NAO-III, Muscat, Oman, January 2014 /
其他作者:	Al-Baali, Mehiddin.
團體作者:
出版者:	Cham :Springer International Publishing :2015.
面頁冊數:	xii, 343 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Numerical analysis
電子資源:	http://dx.doi.org/10.1007/978-3-319-17689-5
ISBN:	9783319176895 (electronic bk.)

Numerical analysis and optimizationNAO-III, Muscat, Oman, January 2014 /
Numerical analysis and optimizationNAO-III, Muscat, Oman, January 2014 /[electronic resource] :edited by Mehiddin Al-Baali, Lucio Grandinetti, Anton Purnama. - Cham :Springer International Publishing :2015. - xii, 343 p. :ill., digital ;24 cm. - Springer proceedings in mathematics & statistics,v.1342194-1009 ;. - Springer proceedings in mathematics & statistics ;v.19..

A Conic Representation of the Convex Hull of Disjunctive Sets and Conic Cuts for Integer Second Order Cone Optimization -- Runge-Kutta methods for ordinary differential equations -- A Positive Barzilai-Borwein-Like Stepsize and An Extension for Symmetric Linear Systems -- Necessary Optimality Conditions for the Control of Partial Integro-Differential Equations -- The AMPL Modeling Language - an Aid to Formulating and Solving Optimization Problems -- An Interior-Point L1-Penalty Method for Nonlinear Optimization -- An L1-Penalty Scheme for the Optimal Control of Elliptic Variational Inequalities -- Dynamics Characterization Based Geo-Statistical Prior Sampling -- Solving Multiscale Linear Programs Using the Simplex Method in Quadruple Precision -- Real and Integer Extended Rank Reduction Formulas and Matrix Decompositions: A Review -- Distributed Block Coordinate Descent for Minimizing Partially Separable Functions -- Models for Optimization of Power Systems -- On Chubanov's Method for Solving a Homogeneous Inequality System.

Presenting the latest findings in the field of numerical analysis and optimization, this volume balances pure research with practical applications of the subject. Accompanied by detailed tables, figures, and examinations of useful software tools, this volume will equip the reader to perform detailed and layered analysis of complex datasets. Many real-world complex problems can be formulated as optimization tasks. Such problems can be characterized as large scale, unconstrained, constrained, non-convex, non-differentiable, and discontinuous, and therefore require adequate computational methods, algorithms, and software tools. These same tools are often employed by researchers working in current IT hot topics such as big data, optimization and other complex numerical algorithms on the cloud, devising special techniques for supercomputing systems. The list of topics covered include, but are not limited to: numerical analysis, numerical optimization, numerical linear algebra, numerical differential equations, optimal control, approximation theory, applied mathematics, algorithms and software developments, derivative free optimization methods and programming models. The volume also examines challenging applications to various types of computational optimization methods which usually occur in statistics, econometrics, finance, physics, medicine, biology, engineering and industrial sciences.

ISBN: 9783319176895 (electronic bk.)

Standard No.: 10.1007/978-3-319-17689-5doiSubjects--Topical Terms:

254066
Numerical analysis

LC Class. No.: QA372

Dewey Class. No.: 515.4

Numerical analysis and optimizationNAO-III, Muscat, Oman, January 2014 /
LDR:03560nmm a2200337 a 4500 001 472787
003 DE-He213
005 20160223104413.0
006 m d
007 cr nn 008maaau
008 160316s2015 gw s 0 eng d
020 $a 9783319176895 (electronic bk.)
020 $a 9783319176888 (paper)
024 7 $a 10.1007/978-3-319-17689-5 $2 doi
035 $a 978-3-319-17689-5
040 $a GP $c GP
041 0 $a eng
050 4 $a QA372
072 7 $a PBKS $2 bicssc
072 7 $a MAT021000 $2 bisacsh
072 7 $a MAT006000 $2 bisacsh
082 0 4 $a 515.4 $2 23
090 $a QA372 $b .I61 2014
111 2 $n (3rd : $d 1998 : $c Amsterdam, Netherlands) $3 194767
245 1 0 $a Numerical analysis and optimization $h [electronic resource] : $b NAO-III, Muscat, Oman, January 2014 / $c edited by Mehiddin Al-Baali, Lucio Grandinetti, Anton Purnama.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xii, 343 p. : $b ill., digital ; $c 24 cm.
490 1 $a Springer proceedings in mathematics & statistics, $x 2194-1009 ; $v v.134
505 0 $a A Conic Representation of the Convex Hull of Disjunctive Sets and Conic Cuts for Integer Second Order Cone Optimization -- Runge-Kutta methods for ordinary differential equations -- A Positive Barzilai-Borwein-Like Stepsize and An Extension for Symmetric Linear Systems -- Necessary Optimality Conditions for the Control of Partial Integro-Differential Equations -- The AMPL Modeling Language - an Aid to Formulating and Solving Optimization Problems -- An Interior-Point L1-Penalty Method for Nonlinear Optimization -- An L1-Penalty Scheme for the Optimal Control of Elliptic Variational Inequalities -- Dynamics Characterization Based Geo-Statistical Prior Sampling -- Solving Multiscale Linear Programs Using the Simplex Method in Quadruple Precision -- Real and Integer Extended Rank Reduction Formulas and Matrix Decompositions: A Review -- Distributed Block Coordinate Descent for Minimizing Partially Separable Functions -- Models for Optimization of Power Systems -- On Chubanov's Method for Solving a Homogeneous Inequality System.
520 $a Presenting the latest findings in the field of numerical analysis and optimization, this volume balances pure research with practical applications of the subject. Accompanied by detailed tables, figures, and examinations of useful software tools, this volume will equip the reader to perform detailed and layered analysis of complex datasets. Many real-world complex problems can be formulated as optimization tasks. Such problems can be characterized as large scale, unconstrained, constrained, non-convex, non-differentiable, and discontinuous, and therefore require adequate computational methods, algorithms, and software tools. These same tools are often employed by researchers working in current IT hot topics such as big data, optimization and other complex numerical algorithms on the cloud, devising special techniques for supercomputing systems. The list of topics covered include, but are not limited to: numerical analysis, numerical optimization, numerical linear algebra, numerical differential equations, optimal control, approximation theory, applied mathematics, algorithms and software developments, derivative free optimization methods and programming models. The volume also examines challenging applications to various types of computational optimization methods which usually occur in statistics, econometrics, finance, physics, medicine, biology, engineering and industrial sciences.
650 0 $a Numerical analysis $3 254066
650 0 $a Mathematical optimization $3 252884
650 1 4 $a Mathematics. $3 184409
650 2 4 $a Numerical Analysis. $3 275681
650 2 4 $a Partial Differential Equations. $3 274075
650 2 4 $a Ordinary Differential Equations. $3 273778
650 2 4 $a Optimization. $3 274084
700 1 $a Al-Baali, Mehiddin. $3 728081
700 1 $a Grandinetti, Lucio. $3 701670
700 1 $a Purnama, Anton. $3 728082
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Springer proceedings in mathematics & statistics ; $v v.19. $3 569116
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-17689-5
950 $a Mathematics and Statistics (Springer-11649)