說明 
1 online resource (xii, 343 pages) : illustrations, digital ; 24 cm 

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系列 
Springer proceedings in mathematics & statistics, 21941009 ; volume 134


Springer proceedings in mathematics & statistics ; volume 134

附註 
A Conic Representation of the Convex Hull of Disjunctive Sets and Conic Cuts for Integer Second Order Cone Optimization  RungeKutta methods for ordinary differential equations  A Positive BarzilaiBorweinLike Stepsize and An Extension for Symmetric Linear Systems  Necessary Optimality Conditions for the Control of Partial IntegroDifferential Equations  The AMPL Modeling Language  an Aid to Formulating and Solving Optimization Problems  An InteriorPoint L1Penalty Method for Nonlinear Optimization  An L1Penalty Scheme for the Optimal Control of Elliptic Variational Inequalities  Dynamics Characterization Based GeoStatistical 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 realworld complex problems can be formulated as optimization tasks. Such problems can be characterized as large scale, unconstrained, constrained, nonconvex, nondifferentiable, 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 
Host Item 
Springer eBooks

主題 
Numerical analysis  Congresses


Mathematical optimization  Congresses


Mathematics


Numerical Analysis


Partial Differential Equations


Ordinary Differential Equations


Optimization

Alt Author 
AlBaali, Mehiddin, editor


Grandinetti, Lucio, editor


Purnama, Anton, editor


SpringerLink (Online service)

