Iterative optimization in inverse problems /
"This book covers iterative optimization methods that stems from inverse problems and related issues. The author presents the theoretical side of inverse methods and as a result ignores discrete problems, stochastic methods, and combinatorial optimization. The coverage moves from an introductio...
Clasificación: | Libro Electrónico |
---|---|
Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Boca Raton :
CRC Press,
[2014]
|
Colección: | Monographs and research notes in mathematics.
|
Temas: | |
Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- Background
- Sequential Optimization
- Barrier-Function and Penalty-Function Methods
- Proximal Minimization
- The Forward-Backward Splitting Algorithm
- Operators
- Averaged and Paracontractive Operators
- Convex Feasibility and Related Problems
- Eigenvalue Bounds
- Jacobi and Gauss-Seidel Methods
- The SMART and EMML Algorithms
- Alternating Minimization
- The EM Algorithm
- Geometric Programming and the MART
- Variational Inequality Problems and Algorithms
- Set-Valued Functions in Optimization
- Fenchel Duality
- Compressed Sensing
- Appendix A: Bregman-Legendre Functions.