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Inverse Stefan Problems

  • Book
  • © 1997

Overview

Authors:
  1. N. L. Gol’dman

    1. Science Research Computer Centre, Moscow State University, Moscow, Russia

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Part of the book series: Mathematics and Its Applications (MAIA, volume 412)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-viii
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  2. Introduction

    • N. L. Gol’dman
    Pages 1-4

  3. Basic Designations

    • N. L. Gol’dman
    Pages 5-6

  4. Statements of Quasilinear Inverse Stefan Problems

    • N. L. Gol’dman
    Pages 7-47

  5. The Regularization Variational Method for Solving Inverse Stefan Problems

    • N. L. Gol’dman
    Pages 49-116

  6. Algorithms for the Numerical Solution of Inverse Stefan Problems

    • N. L. Gol’dman
    Pages 117-172

  7. Properties of Operator Representations of Inverse Stefan Problems

    • N. L. Gol’dman
    Pages 173-238

  8. Back Matter

    Pages 239-256
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Keywords

About this book

In this monograph the theory and methods of solving inverse Stefan problems for quasilinear parabolic equations in regions with free boundaries are developed. The study of this new class of ill-posed problems is motivated by the needs of the mod­ eling and control of nonlinear processes with phase transitions in thermophysics and mechanics of continuous media. Inverse Stefan problems are important for the perfection of technologies both in high temperature processes (e.g., metallurgy, the aircraft industry, astronautics and power engineering) and in hydrology, exploitation of oil-gas fields, etc. The proposed book will complete a gap in these subjects in the preceding re­ searches of ill-posed problems. It contains the new theoretical and applied studies of a wide class of inverse Stefan problems. The statements of such problems on the determination of boundary functions and coefficients of the equation are considered for different types of additional information about their solution. The variational method of obtaining stable approximate solutions is proposed and established. It is implemented by an efficient computational scheme of descriptive regularization. This algorithm utilizes a priori knowledge of the qualitative structure of the sought solution and ensures a substantial saving in computational costs. It is tested on model and applied problems in nonlinear thermophysics. In particular, the results of calculations for important applications in continuous casting of ingots and in the melting of a plate with the help of laser technology are presented.

Authors and Affiliations

  • Science Research Computer Centre, Moscow State University, Moscow, Russia

    N. L. Gol’dman

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