By Charles L. Byrne
Iterative Optimization in Inverse Problems brings jointly a few vital iterative algorithms for scientific imaging, optimization, and statistical estimation. It accommodates contemporary paintings that has now not seemed in different books and attracts at the author’s huge learn within the box, together with his lately constructed category of SUMMA algorithms. relating to sequential unconstrained minimization tools, the SUMMA category features a wide variety of iterative algorithms popular to researchers in a number of components, comparable to information and snapshot processing.
Organizing the subjects from common to extra particular, the ebook first supplies an outline of sequential optimization, the subclasses of auxiliary-function tools, and the SUMMA algorithms. the subsequent 3 chapters current specific examples in additional aspect, together with barrier- and penalty-function equipment, proximal minimization, and forward-backward splitting. the writer additionally specializes in fixed-point algorithms for operators on Euclidean house after which extends the dialogue to incorporate distance measures except the standard Euclidean distance. within the ultimate chapters, particular difficulties illustrate using iterative equipment formerly mentioned. so much chapters include workouts that introduce new rules and make the publication appropriate for self-study.
Unifying numerous possible disparate algorithms, the e-book exhibits easy methods to derive new houses of algorithms via evaluating recognized houses of different algorithms. This unifying method additionally is helping researchers—from statisticians engaged on parameter estimation to photograph scientists processing scanning information to mathematicians excited about theoretical and utilized optimization—discover beneficial similar algorithms in parts outdoors in their expertise.
By Kazufumi Ito,Bangti Jin
Inverse difficulties come up in useful purposes at any time when one must deduce unknowns from observables. This monograph is a beneficial contribution to the hugely topical box of computational inverse difficulties. either mathematical thought and numerical algorithms for model-based inverse difficulties are mentioned intimately. The mathematical concept makes a speciality of nonsmooth Tikhonov regularization for linear and nonlinear inverse difficulties. The computational tools contain nonsmooth optimization algorithms, direct inversion equipment and uncertainty quantification through Bayesian inference.
The ebook bargains a entire therapy of recent recommendations, and seamlessly blends regularization thought with computational tools, that is crucial for constructing exact and effective inversion algorithms for plenty of sensible inverse problems.
It demonstrates many present advancements within the box of computational inversion, similar to worth functionality calculus, augmented Tikhonov regularization, multi-parameter Tikhonov regularization, semismooth Newton process, direct sampling approach, uncertainty quantification and approximate Bayesian inference. it truly is written for graduate scholars and researchers in arithmetic, common technology and engineering.
- Models in Inverse Problems
- Tikhonov idea for Linear Problems
- Tikhonov conception for Nonlinear Inverse Problems
- Nonsmooth Optimization
- Direct Inversion Methods
- Bayesian Inference
Readership: complicated undergraduates, graduates and researchers in utilized arithmetic, computational arithmetic, optimization, information, ordinary technology and engineering. it is going to attract these attracted to inverse problems.
- A huge a part of the fabrics within the ebook is constructed through the authors, and so they haven't been handled in different books
- A finished remedy of nonsmooth Tikhonov regularization, with a spotlight on worth functionality calculus, parameter selection ideas, computational algorithms, and an optimization method of nonlinear inverse problems
- A concise advent to speedy direct equipment for inverse difficulties, e.g., track set of rules, direct sampling procedure, and Gel'fand–Levitan–Marchenko transformation
- A designated representation of uncertainty quantification for inverse difficulties through Bayesian inference, together with version choice, Markov chain Monte Carlo and approximate Bayesian inference
By Luis J. Alías,Paolo Mastrolia,Marco Rigoli
By Daniel W. Stroock
This publication presents a rigorous yet uncomplicated creation to the speculation of Markov methods on a countable country area. it's going to be available to scholars with a great undergraduate history in arithmetic, together with scholars from engineering, economics, physics, and biology. themes coated are: Doeblin's conception, common ergodic homes, and non-stop time processes. Applications are dispersed through the ebook. moreover, a complete bankruptcy is dedicated to reversible tactics and using their linked Dirichlet kinds to estimate the speed of convergence to equilibrium. those effects are then utilized to the research of the city (a.k.a simulated annealing) algorithm.
The corrected and enlarged 2nd version features a new bankruptcy within which the writer develops computational tools for Markov chains on a finite country area. such a lot exciting is the part with a brand new strategy for computing desk bound measures, that's utilized to derivations of Wilson's set of rules and Kirchoff's formulation for spanning timber in a attached graph.
By Xiaoping Xu
By Vladimir Rovenski,Pawel Walczak
Extrinsic geometry describes homes of foliations on Riemannian manifolds which might be expressed when it comes to the second one primary kind of the leaves. The authors of Topics in Extrinsic Geometry of Codimension-One Foliations in achieving a technical journey de strength, so that it will bring about vital geometric results.
The Integral Formulae, brought in bankruptcy 1, is an invaluable for difficulties akin to: prescribing larger suggest curvatures of foliations, minimizing quantity and effort outlined for vector or airplane fields on manifolds, and life of foliations whose leaves take pleasure in given geometric homes. The indispensable Formulae steams from a Reeb formulation, for foliations on area varieties which generalize the classical ones. For a distinct auxiliary capabilities the formulae contain the Newton alterations of the Weingarten operator.
The significant subject of this e-book is Extrinsic Geometric move (EGF) on foliated manifolds, that could be a device for prescribing extrinsic geometric houses of foliations. To enhance EGF, one wishes Variational Formulae, published in bankruptcy 2, which expresses a transformation in several extrinsic geometric amounts of a set foliation lower than leaf-wise edition of the Riemannian constitution of the ambient manifold. bankruptcy three defines a common thought of EGF and reports the evolution of Riemannian metrics alongside the trajectories of this flow(e.g., describes the short-time lifestyles and specialty concept and estimate the maximal lifestyles time).Some distinctive recommendations (called Extrinsic Geometric Solutions) of EGF are offered and are of significant curiosity, due to the fact that they supply Riemannian buildings with very specific geometry of the leaves.
This paintings is geared toward those that be interested within the differential geometry of submanifolds and foliations of Riemannian manifolds.
By Franck Boyer,Pierre Fabrie
The aim of this self-contained publication is two-fold. First, the reader is brought to the modelling and mathematical research utilized in fluid mechanics, in particular about the Navier-Stokes equations that's the elemental version for the move of incompressible viscous fluids. Authors introduce mathematical instruments in order that the reader is ready to use them for learning many different kinds of partial differential equations, specifically nonlinear evolution problems.
The historical past wanted are easy ends up in calculus, integration, and useful research. a few sections definitely comprise extra complicated issues than others. however, the authors’ target is that graduate or PhD scholars, in addition to researchers who're no longer really good in nonlinear research or in mathematical fluid mechanics, can discover a particular advent to this topic.
By Victor A. Galaktionov,Sergey R. Svirshchevskii
This functional reference offers with a number of partial differential equations (PDEs) and versions that show a few universal nonlinear invariant positive factors. It starts off with classical in addition to more moderen examples of ideas on invariant subspaces. within the rest of the ebook, the authors improve a number of innovations for developing particular recommendations of assorted nonlinear PDEs, together with reaction-diffusion and gasoline dynamics types, thin-film and Kuramoto-Sivashinsky equations, nonlinear dispersion (compacton) equations, KdV-type and Harry Dym versions, quasilinear magma equations, and Green-Naghdi equations. utilizing unique suggestions, they describe the evolution houses of blow-up or extinction phenomena, finite interface propagation, and the oscillatory, altering signal habit of vulnerable options close to interfaces for nonlinear PDEs of assorted varieties and orders.
The concepts surveyed in distinctive ideas and Invariant Subspaces of Nonlinear Partial Differential Equations in Mechanics and Physics function a initial creation to the overall thought of nonlinear evolution PDEs of alternative orders and types.
By John Polking,Al Boggess,David Arnold
By Anvarbek Meirmanov
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