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Jacket image for Computational functional analysis – Woodhead Publishing
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Computational functional analysis (Second edition)

R E Moore, Ohio State University and M J Cloud, Lawrence Technological University, USA

A stimulating and challenging introduction
(Review of the first edition) SIAM Review, USA, (William W. Hager, Pennsylvania State University).

A very readable introduction, excellent.
The Mathematical Gazette

 - contains 100 problem-exercises, answers and tutorial hints for students reading applied functional analysis
 - introduces interval analysis into the mainstream of computational functional analysis

This course text fills a gap for first-year graduate-level students reading applied functional analysis or advanced engineering analysis and modern control theory. Containing 100 problem-exercises, answers, and tutorial hints, the first edition is often cited as a standard reference. Making a unique contribution to numerical analysis for operator equations, it introduces interval analysis into the mainstream of computational functional analysis, and discusses the elegant techniques for reproducing Kernel Hilbert spaces. There is discussion of a successful ‘‘hybrid’’ method for difficult real-life problems, with a balance between coverage of linear and non-linear operator equations. The authors successful teaching philosophy: ‘‘We learn by doing’’ is reflected throughout the book.

ISBN 1 904275 24 9
ISBN-13: 978 1 904275 24 4
June 2007
212 pages  234 x 156mm  paperback  
£50.00 / US$85.00 / €60.00
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About the authors

Ramon E Moore, Ohio State University, USA. Michael J Cloud, Lawrence Technological University, USA

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Contents

Introduction

Linear spaces
 - Linear manifolds
 - Isomorphic spaces
 - Cartesian products
 - Equivalence
 - Classes
 - Factor spaces

Linear spaces
 - Linear manifolds
 - Isomorphic spaces
 - Cartesian products
 - Equivalence
 - Classes
 - Factor spaces

Topological spaces
 - Convergent sequences
 - Compactness
 - Relative compactness
 - Sequen tial compactness
 - Ccontinuous functions
 - Inverse rnappmgs
 - Homeomoo-phisms

Topological spaces
 - Convergent sequences
 - Compactness
 - Relative compactness
 - Sequen tial compactness
 - Ccontinuous functions
 - Inverse rnappmgs
 - Homeomoo-phisms

Metric spaces
 - Metrics
 - Isometries
 - Cauchy sequences
 - Ccompleteness
 - Dense subsets
 - Separable metric spaces
 - Completion of a metric space

Metric spaces
 - Metrics
 - Isometries
 - Cauchy sequences
 - Ccompleteness
 - Dense subsets
 - Separable metric spaces
 - Completion of a metric space

Normed linear spaces and Banach spaces
 - Norms
 - Bounded subsets
 - Banach spaces
 - Suhspaces

Normed linear spaces and Banach spaces
 - Norms
 - Bounded subsets
 - Banach spaces
 - Suhspaces

Inner product spaces and Hilbert spaces
 - Inner products
 - Cauchy--Schwarz inequality
 - Orthogonality
 - E and /2
 - Hithert spaces
 - Y and l unit vectors
 - Orthonormal sequences
 - Complete oTth000rmal sequences
 - Separable Hubert spaces span of a subset
 - Orthogonal projections
 - Orthogonal complements
 - Orthonormal bases
 - Parseval identity and relation
 - Fourier coefficients
 - The Gram Schmidt process

Inner product spaces and Hilbert spaces
 - Inner products
 - Cauchy--Schwarz inequality
 - Orthogonality
 - E and /2
 - Hithert spaces
 - Y and l unit vectors
 - Orthonormal sequences
 - Complete oTth000rmal sequences
 - Separable Hubert spaces span of a subset
 - Orthogonal projections
 - Orthogonal complements
 - Orthonormal bases
 - Parseval identity and relation
 - Fourier coefficients
 - The Gram Schmidt process

Linear functionals
 - Functionals
 - Linear functionals
 - Bounded linear functionals
 - Evaluation functionals
 - Finite sums
 - Definite integrals
 - Inner products
 - The Riesz representation theorem
 - Null spaces
 - Norms
 - The Flahn theorem
 - Unbounded functionals
 - Conjugate (dual) spaces

Linear functionals
 - Functionals
 - Linear functionals
 - Bounded linear functionals
 - Evaluation functionals
 - Finite sums
 - Definite integrals
 - Inner products
 - The Riesz representation theorem
 - Null spaces
 - Norms
 - The Flahn theorem
 - Unbounded functionals
 - Conjugate (dual) spaces

Types of convergence in function spaces
 - Strong convergence
 - Weak convergence
 - Pointwise convergence
 - Uniform convergence
 - Star convergence
 - Weak-star convergence

Types of convergence in function spaces
 - Strong convergence
 - Weak convergence
 - Pointwise convergence
 - Uniform convergence
 - Star convergence
 - Weak-star convergence

Reproducing Kernel Hilbert spaces
 - Reproducing kernels
 - Orthogonal projection
 - Interpolation
 - Approximate integration

Reproducing Kernel Hilbert spaces
 - Reproducing kernels
 - Orthogonal projection
 - Interpolation
 - Approximate integration

Order relations in function spaces
 - Reflexive partial orderings
 - Intervals
 - Interval valued mappings into reflexively partially ordered sets lattices
 - Complete lattices
 - Order convergence
 - United extensions
 - Subset property of arbitrary map pings
 - The Knaster—Tarski theorem
 - Fixed points of arbitrary map pings
 - Line segments in linear spaces
 - Convex sets
 - Convex mappings

Order relations in function spaces
 - Reflexive partial orderings
 - Intervals
 - Interval valued mappings into reflexively partially ordered sets lattices
 - Complete lattices
 - Order convergence
 - United extensions
 - Subset property of arbitrary map pings
 - The Knaster—Tarski theorem
 - Fixed points of arbitrary map pings
 - Line segments in linear spaces
 - Convex sets
 - Convex mappings

Operators in function spaces
 - Operators
 - Linear operators
 - Nonlinear operators
 - Null spaces
 - Non- singular linear operators
 - Continuous linear operators
 - Bounded linear operators
 - Neumann series and solution of certain linear opera tor equations
 - Adjoint operators
 - Selfadjoint operators
 - Matrix representations of hounded linear operators on separable Hubert spaces
 - The space L(H. H) of hounded linear operators types of convergence in L(H . H)
 - Jacobi iteration and Picard iteration
 - Linear initial value problems

Operators in function spaces
 - Operators
 - Linear operators
 - Nonlinear operators
 - Null spaces
 - Non- singular linear operators
 - Continuous linear operators
 - Bounded linear operators
 - Neumann series and solution of certain linear opera tor equations
 - Adjoint operators
 - Selfadjoint operators
 - Matrix representations of hounded linear operators on separable Hubert spaces
 - The space L(H. H) of hounded linear operators types of convergence in L(H . H)
 - Jacobi iteration and Picard iteration
 - Linear initial value problems

Completely continuous (compact) operators
 - Completely continuous operators
 - Hilbert—Schmidt integral operators
 - Projection operators into finite dimensional suhspaces
 - Spectral the ory of completely continuous operators
 - Eigentunction expansions, Galerkms method
 - Completely continuous operators in Banach spaces
 - The Fredholnn alternative

Completely continuous (compact) operators
 - Completely continuous operators
 - Hilbert—Schmidt integral operators
 - Projection operators into finite dimensional suhspaces
 - Spectral the ory of completely continuous operators
 - Eigentunction expansions, Galerkms method
 - Completely continuous operators in Banach spaces
 - The Fredholnn alternative

Approximation methods for linear operator equations
 - Finite basis methods
 - Finite difference methods
 - Separation of variables and eigenfunct expansions for the diffusion equation
 - Rates of convergence
 - Galerkins method in Hilhert spaces
 - Collocation methods
 - Finite difference methods
 - Fredhoim integral equations
 - The Nystrbm method

Approximation methods for linear operator equations
 - Finite basis methods
 - Finite difference methods
 - Separation of variables and eigenfunct expansions for the diffusion equation
 - Rates of convergence
 - Galerkins method in Hilhert spaces
 - Collocation methods
 - Finite difference methods
 - Fredhoim integral equations
 - The Nystrbm method

Interval methods for operator equations
 - Interval arithmetic
 - Interval integration
 - Interval operators
 - Inclusion isotonicity
 - Nonlinear operator equations with data perturbations

Interval methods for operator equations
 - Interval arithmetic
 - Interval integration
 - Interval operators
 - Inclusion isotonicity
 - Nonlinear operator equations with data perturbations

Contraction mappings and iterative methods
 - Fixed point problems
 - Contraction mappings
 - Initial value problems
 - two-point boundary value problems

Contraction mappings and iterative methods
 - Fixed point problems
 - Contraction mappings
 - Initial value problems
 - two-point boundary value problems

Frechet derivatives
 - Fréchet differentiable operators
 - Locally linear operators
 - The Frdchet derivative
 - The Gdteaux derivative
 - Higher Fréchet derivatives
 - The Taylor theorem in Banach spaces

Frechet derivatives
 - Fréchet differentiable operators
 - Locally linear operators
 - The Frdchet derivative
 - The Gdteaux derivative
 - Higher Fréchet derivatives
 - The Taylor theorem in Banach spaces

Newton’s method in Banach spaces
 - Convergence
 - The error squaring property
 - The Kantorovich theorem
 - Computational verification of convergence conditions using interval analysis
 - Interval versions of Newtons method

Newton’s method in Banach spaces
 - Convergence
 - The error squaring property
 - The Kantorovich theorem
 - Computational verification of convergence conditions using interval analysis
 - Interval versions of Newtons method

Variants of Newton’s method
 - A general theorem
 - Ostrowski’s theorem
 - Newton’s method
 - The simplified Newton method
 - The SOR--Newton method (generalized New ton method)
 - a Gauss—Seidel modification

Variants of Newton’s method
 - A general theorem
 - Ostrowski’s theorem
 - Newton’s method
 - The simplified Newton method
 - The SOR--Newton method (generalized New ton method)
 - a Gauss—Seidel modification

Homotopy and continuation methods
 - Homotopies
 - Successive perturbation methods
 - Continuation methods
 - Curve of zeros
 - Discrete continuation
 - Davidenko’s method
 - Computational aspects

Homotopy and continuation methods
 - Homotopies
 - Successive perturbation methods
 - Continuation methods
 - Curve of zeros
 - Discrete continuation
 - Davidenko’s method
 - Computational aspects

A hybrid method for a free boundary problem

A hybrid method for a free boundary problem

Hints for selected exercises

Hints for selected exercises

Further reading

Further reading

Index

Index

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