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000728240 020__ $$a9783319176895$$qelectronic book
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000728240 1112_ $$aInternational Conference on Numerical Analysis and Optimization: Theory, Methods, Applications and Technology Transfer$$n(3rd :$$d2014 :$$cMuscat, Oman)
000728240 24510 $$aNumerical analysis and optimization$$h[electronic resource] :$$bNAO-III, Muscat, Oman, January 2014 /$$cMehiddin Al-Baali, Lucio Grandinetti, Anton Purnama, editors.
000728240 264_1 $$aCham :$$bSpringer,$$c2015.
000728240 300__ $$a1 online resource (343 pages) :$$billustrations.
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000728240 4901_ $$aSpringer proceedings in mathematics & statistics ;$$vvolume 134
000728240 5050_ $$aA 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.
000728240 506__ $$aAccess limited to authorized users.
000728240 520__ $$aPresenting 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.
000728240 588__ $$aOnline resource; title from PDF title page (viewed July 23, 2015)
000728240 650_0 $$aNumerical analysis$$vCongresses.
000728240 650_0 $$aMathematical optimization$$vCongresses.
000728240 7001_ $$aAl-Baali, Mehiddin,$$eeditor.
000728240 7001_ $$aGrandinetti, Lucio,$$eeditor.
000728240 7001_ $$aPurnama, Anton,$$eeditor.
000728240 830_0 $$aSpringer proceedings in mathematics & statistics ;$$vvolume 134.
000728240 852__ $$bebk
000728240 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-17689-5$$zOnline Access$$91397441.1
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