Listing 1 - 9 of 9 |
Sort by
|
Choose an application
Written by two international experts in the field, this book is the first unified survey of the advances made in the last 15 years on key non-standard and improperly posed problems for partial differential equations.This reference for mathematicians, scientists, and engineers provides an overview of the methodology typically used to study improperly posed problems. It focuses on structural stability--the continuous dependence of solutions on the initial conditions and the modeling equations--and on problems for which data are only prescribed on part of the boundary.The book addresses conti
Choose an application
The theory of ill-posed problems originated in an unusual way. As a rule, a new concept is a subject in which its creator takes a keen interest. The concept of ill-posed problems was introduced by Hadamard with the comment that these problems are physically meaningless and not worthy of the attention of serious researchers. Despite Hadamard's pessimistic forecasts, however, his unloved "child" has turned into a powerful theory whose results are used in many fields of pure and applied mathematics. What is the secret of its success? The answer is clear. Ill-posed problems occur everywhere and it is unreasonable to ignore them. Unlike ill-posed problems, inverse problems have no strict mathematical definition. In general, they can be described as the task of recovering a part of the data of a corresponding direct (well-posed) problem from information about its solution. Inverse problems were first encountered in practice and are mostly ill-posed. The urgent need for their solution, especially in geological exploration and medical diagnostics, has given powerful impetus to the development of the theory of ill-posed problems. Nowadays, the terms "inverse problem" and "ill-posed problem" are inextricably linked to each other. Inverse and ill-posed problems are currently attracting great interest. A vast literature is devoted to these problems, making it necessary to systematize the accumulated material. This book is the first small step in that direction. We propose a classification of inverse problems according to the type of equation, unknowns and additional information. We consider specific problems from a single position and indicate relationships between them. The problems relate to different areas of mathematics, such as linear algebra, theory of integral equations, integral geometry, spectral theory and mathematical physics. We give examples of applied problems that can be studied using the techniques we describe. This book was conceived as a textbook on the foundations of the theory of inverse and ill-posed problems for university students. The author's intention was to explain this complex material in the most accessible way possible. The monograph is aimed primarily at those who are just beginning to get to grips with inverse and ill-posed problems but we hope that it will be useful to anyone who is interested in the subject.
Inverse problems (Differential equations) --- Boundary value problems --- Improperly posed problems in boundary value problems --- Differential equations --- Improperly posed problems. --- Ill-posed problems --- Differential Equation. --- Ill-posed Problems. --- Integral Equation. --- Inverse Problem. --- Regularization.
Choose an application
Ill-posed problems are encountered in countless areas of real world science and technology. A variety of processes in science and engineering is commonly modeled by algebraic, differential, integral and other equations. In a more difficult case, it can be systems of equations combined with the associated initial and boundary conditions. Frequently, the study of applied optimization problems is also reduced to solving the corresponding equations. These equations, encountered both in theoretical and applied areas, may naturally be classified as operator equations. The current textbook will focus on iterative methods for operator equations in Hilbert spaces.
Differential equations, Partial --- Iterative methods (Mathematics) --- Iteration (Mathematics) --- Numerical analysis --- Improperly posed problems in partial differential equations --- Improperly posed problems. --- Ill-posed problems --- Hilbert Space. --- Ill-posed Problem. --- Inverse Problem. --- Iterative Method. --- Operator Equation.
Choose an application
Nonlinear inverse problems appear in many applications, and typically they lead to mathematical models that are ill-posed, i.e., they are unstable under data perturbations. Those problems require a regularization, i.e., a special numerical treatment. This book presents regularization schemes which are based on iteration methods, e.g., nonlinear Landweber iteration, level set methods, multilevel methods and Newton type methods.
519.61 --- Numerical methods of algebra --- Differential equations, Partial --- Iterative methods (Mathematics) --- Improperly posed problems. --- Iterative methods (Mathematics). --- Differential equations, Partial -- Improperly posed problems. --- Mathematics. --- Calculus --- Mathematics --- Physical Sciences & Mathematics --- Improperly posed problems --- 519.61 Numerical methods of algebra --- Iteration (Mathematics) --- Improperly posed problems in partial differential equations --- Ill-posed problems --- Inkorrekt gestelltes Problem. --- Regularisierungsverfahren. --- Iteration. --- Nichtlineares inverses Problem. --- Numerical analysis --- Iterative Regularization. --- Nonlinear Ill-Posed Problems. --- Nonlinear Inverse Problems.
Choose an application
This monograph is a valuable contribution to the highly topical and extremely productive field of regularization methods for inverse and ill-posed problems. The author is an internationally outstanding and accepted mathematician in this field. In his book he offers a well-balanced mixture of basic and innovative aspects. He demonstrates new, differentiated viewpoints, and important examples for applications. The book demonstrates the current developments in the field of regularization theory, such as multi parameter regularization and regularization in learning theory. The book is written for graduate and PhDs
Numerical analysis --- Numerical differentiation. --- Graphic differentiation --- Functions --- Improperly posed problems in numerical analysis --- Improperly posed problems. --- Ill-posed problems --- Balancing Principle. --- Blood Glucose Prediction. --- Convergence Rate. --- Discrepancy Principle. --- Error Bound Estimation. --- Ill-posed Problem. --- Learning Theory, Meta-learning. --- Multi-parameter Regularization. --- Regularization Method.
Choose an application
This book deals with one of the key problems in applied mathematics, namely the investigation into and providing for solution stability in solving equations with due allowance for inaccuracies in set initial data, parameters and coefficients of a mathematical model for an object under study, instrumental function, initial conditions, etc., and also with allowance for miscalculations, including roundoff errors. Until recently, all problems in mathematics, physics and engineering were divided into two classes: well-posed problems and ill-posed problems. The authors introduce a third class of problems: intermediate ones, which are problems that change their property of being well- or ill-posed on equivalent transformations of governing equations, and also problems that display the property of being either well- or ill-posed depending on the type of the functional space used. The book is divided into two parts: Part one deals with general properties of all three classes of mathematical, physical and engineering problems with approaches to solve them; Part two deals with several stable models for solving inverse ill-posed problems, illustrated with numerical examples.
Differential equations --- Numerical analysis --- Engineering mathematics. --- Mathematical physics. --- Physical mathematics --- Physics --- Engineering --- Engineering analysis --- Mathematical analysis --- Improperly posed problems in numerical analysis --- 517.91 Differential equations --- Numerical solutions. --- Improperly posed problems. --- Mathematics --- Ill-posed problems --- Ill-posed Problems. --- Intermediate Problems. --- Well-posed Problems.
Choose an application
Internal boundary value problems deals with the problem of determining the solution of an equation if data are given on two manifolds. One manifold is the domain boundary and the other manifold is situated inside the domain. This monograph studies three essentially ill-posed internal boundary value problems for the biharmonic equation and the Cauchy problem for the abstract biharmonic equation, both qualitatively and quantitatively. In addition, some variants of these problems and the Cauchy problem, as well as the m-dimensional case, are considered. The author introduces some new notions, such as the notion of complete solvability.
Differential equations, Partial --- Boundary value problems. --- Biharmonic equations. --- Equations, Biharmonic --- Boundary conditions (Differential equations) --- Differential equations --- Functions of complex variables --- Mathematical physics --- Initial value problems --- Improperly posed problems in partial differential equations --- Improperly posed problems. --- Ill-posed problems --- Biharmonic Equation. --- Cauchy Problem. --- Domain Boundary. --- Ill-posed. --- Internal Boundary Value Problems. --- Manifolds.
Choose an application
The main classes of inverse problems for equations of mathematical physics and their numerical solution methods are considered in this book which is intended for graduate students and experts in applied mathematics, computational mathematics, and mathematical modeling.
Mathematical physics. --- Boundary value problems --- Physical mathematics --- Physics --- Numerical solutions. --- Mathematics --- Inverse problems (Differential equations) --- Differential equations, Partial --- Improperly posed problems. --- Evolution equation, ordinary differential equation, inverse problem, parameter estimation, partial differential equation.
Choose an application
Interest in regularization methods for ill-posed nonlinear operator equations and variational inequalities of monotone type in Hilbert and Banach spaces has grown rapidly over recent years. Results in the field over the last three decades, previously only available in journal articles, are comprehensively explored with particular attention given to applications of regularization methods as well as to practical methods used in computational analysis.
Monotone operators. --- Differential equations, Partial --- Improperly posed problems. --- Improperly posed problems in partial differential equations --- Operator theory --- Ill-posed problems --- Global analysis (Mathematics). --- Computer science --- Operator theory. --- Functional analysis. --- Mathematical optimization. --- Analysis. --- Computational Mathematics and Numerical Analysis. --- Operator Theory. --- Functional Analysis. --- Calculus of Variations and Optimal Control; Optimization. --- Mathematics. --- Functional calculus --- Calculus of variations --- Functional equations --- Integral equations --- Functional analysis --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Computer mathematics --- Discrete mathematics --- Electronic data processing --- Analysis, Global (Mathematics) --- Differential topology --- Functions of complex variables --- Geometry, Algebraic --- Mathematics --- Mathematical analysis. --- Analysis (Mathematics). --- Computer mathematics. --- Calculus of variations. --- Isoperimetrical problems --- Variations, Calculus of --- 517.1 Mathematical analysis
Listing 1 - 9 of 9 |
Sort by
|