Functional analysis in modern applied mathematics /
In this book, we study theoretical and practical aspects of computing methods for mathematical modelling of nonlinear systems. A number of computing techniques are considered, such as methods of operator approximation with any given accuracy; operator interpolation techniques including a non-Lagrang...
Clasificación: | Libro Electrónico |
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Autor principal: | |
Otros Autores: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
London ; New York :
Academic Press,
1977.
|
Colección: | Mathematics in science and engineering ;
v. 132. |
Temas: | |
Acceso en línea: | Texto completo Texto completo |
Tabla de Contenidos:
- Cover13;
- Functional Analysis in Modern Applied Mathematics
- Copyright Page
- Contents
- Introduction
- PART I: Basic Functional Analysis
- Chapter 1. NORMED LINEAR SPACES
- Chapter 2. INTEGRATION THEORY FOR REAL-VALUED FUNCTIONS
- Chapter 3. LINEAR TRANSFORMATIONS
- Chapter 4. HILBERT SPACES
- Chapter 5. PROBABILITY THEORY
- Chapter 6. CALCULUS IN BANACH SPACES
- Chapter 7. TOPOLOGICAL SPACES
- Part II: Analysis of Abstract Equations
- Chapter 8. DIFFERENTIAL EQUATIONS
- 8.1 Ordinary differential equations
- 8.2 Stochastic differential equations
- 8.3 Differential delay equations
- 8.4 Partial differential equations
- 8.5 Abstract equations
- 8.6 Semigroup theory
- 8.7 Solution of inhomogeneous abstract evolution equations
- Chapter 9. SPECTRAL THEORY AND APPLICATIONS
- 9.1 Spectral theory in finite dimensions
- 9.2 Spectrum of closed linear operators on a normed linear space
- 9.3 Spectral theory for compact normal operators
- 9.4 Spectral decomposition for unbounded linear operators
- Part III: Applications
- Chapter 10. STABILITY THEORY
- 10.1 Liapunov stability for ordinary differential equations
- 10.2 Stability properties of operators : perturbation theory
- Chapter 11. LINEAR SYSTEMS THEORY
- 11.1 Controllability
- 11.2 Stability
- 11.3 Observability
- 11.4 Linear quadratic control problems
- 11.5 Filtering
- 11.6 Time optimal control
- Chapter 12. OPTIMIZATION PROBLEMS
- 12.1 Minimization of coercive bilinear forms
- 12.2 Least squares minimization in a Hilbert space
- 12.3 Unconstrained Calculus of Variations problems
- 12.4 Minimization under equality constraints
- 12.5 Minimization with inequality constraints
- 12.6 Optimal control theory
- Chapter 13. NUMERICAL METHODS
- 13.1 General principles and introduction
- 13.2 Linear equations
- 13.3 Nonlinear equations
- 13.4 Approximation theory
- 13.5 Numerical solution of optimization problems
- Chapter 14. INFINITE DIMENSIONAL LINEAR SYSTEMS THEORY
- 14.1 Controllability
- 14.2 Observability
- 14.3 The quadratic cost control problem for evolution equations
- 14.4 A direct approach to the quadratic cost control problem
- INDEX.