Numerical Analysis And Optimization: Nao-iii, Muscat, Oman, January 2014 (springer Proceedings In Mathematics & Statistics)
by Lucio Grandinetti /
2015 / English / PDF
6.6 MB Download
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.
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.
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.
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.