Name: Solutions of Fixed Point Problems with Computational Errors (en Inglés)
Price: 209330.00 CLP
Availability: InStock
Author: Zaslavski, Alexander J.
ISBN: 9783031508783

portada Solutions of Fixed Point Problems with Computational Errors (en Inglés)

Formato

Libro Físico

Autor

Alexander J. Zaslavski

Editorial

Springer

Idioma

Inglés

N° páginas

386

Encuadernación

Tapa Dura

Dimensiones

23.4 x 15.6 x 2.2 cm

Peso

0.73 kg.

ISBN13

9783031508783

N° edición

2024th

Categorías

Fundamentos matemáticos
Análisis funcional y transformaciones
Matemáticas aplicadas

Solutions of Fixed Point Problems with Computational Errors (en Inglés)

Alexander J. Zaslavski (Autor) · Springer · Tapa Dura

Libro Nuevo

$ 209.330

$ 380.600

Ahorras: $ 171.270

45% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Viernes 26 de Julio y el Miércoles 07 de Agosto.

Lo recibirás en cualquier lugar de Chile entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Solutions of Fixed Point Problems with Computational Errors (en Inglés)"

The book is devoted to the study of approximate solutions of fixed point problems in the presence of computational errors. It begins with a study of approximate solutions of star-shaped feasibility problems in the presence of perturbations. The goal is to show the convergence of algorithms, which are known as important tools for solving convex feasibility problems and common fixed point problems.The text also presents studies of algorithms based on unions of nonexpansive maps, inconsistent convex feasibility problems, and split common fixed point problems. A number of algorithms are considered for solving convex feasibility problems and common fixed point problems. The book will be of interest for researchers and engineers working in optimization, numerical analysis, and fixed point theory. It also can be useful in preparation courses for graduate students. The main feature of the book which appeals specifically to this audience is the study of the influence of computational errorsfor several important algorithms used for nonconvex feasibility problems.