Cantitate/Preț
Produs
Total produse
Vezi coșul
The Krasnosel'skiĭ-Mann Iterative Method: Recent Progress and Applications de Qiao-Li Dong

The Krasnosel'skiĭ-Mann Iterative Method: Recent Progress and Applications: SpringerBriefs in Optimization

Autor Qiao-Li Dong, Yeol Je Cho, Songnian He, Panos M. Pardalos, Themistocles M. Rassias
en Limba Engleză Paperback – 25 feb 2022
This brief explores the Krasnosel'skiĭ-Man (KM) iterative method, which has been extensively employed to find fixed points of nonlinear methods. 
 



Citește tot Restrânge

Din seria SpringerBriefs in Optimization

  • Group Testing Theory in Network Security: An Advanced Solution
    Preț: 32885 lei
  • Demand Flexibility in Supply Chain Planning
    Preț: 36288 lei
  • Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications
    Preț: 33241 lei
  • Structure of Solutions of Variational Problems
    Preț: 33183 lei
  • Introduction to Global Optimization Exploiting Space-Filling Curves
    Preț: 39646 lei
  • Structure of Approximate Solutions of Optimal Control Problems
    Preț: 36456 lei
  • Topics in Matroid Theory
    Preț: 36509 lei
  • Simplicial Global Optimization
    Preț: 36529 lei
  • Post-Optimal Analysis in Linear Semi-Infinite Optimization
    Preț: 36435 lei
  • On-Orbit Operations Optimization: Modeling and Algorithms
    Preț: 36435 lei
  • Antenna Design by Simulation-Driven Optimization
    Preț: 36545 lei
  • BONUS Algorithm for Large Scale Stochastic Nonlinear Programming Problems
    Preț: 36619 lei
  • 15% Numerical PDE-Constrained Optimization
    Preț: 44544 lei
  • State Space Consistency and Differentiability
    Preț: 36178 lei
  • Generalized Adjoint Systems
    Preț: 36137 lei
  • Intentional Risk Management through Complex Networks Analysis
    Preț: 36509 lei
  • The GLOBAL Optimization Algorithm: Newly Updated with Java Implementation and Parallelization
    Preț: 36399 lei
  • Attraction in Numerical Minimization: Iteration Mappings, Attractors, and Basins of Attraction
    Preț: 36215 lei
  • Mathematical Foundations of Nature-Inspired Algorithms
    Preț: 42742 lei
  • Optimal Control Problems Arising in Forest Management
    Preț: 36509 lei
  • Optimal Social Influence
    Preț: 36456 lei
  • The Projected Subgradient Algorithm in Convex Optimization
    Preț: 36565 lei
  • Statistical Analysis of Graph Structures in Random Variable Networks
    Preț: 36326 lei
  • 15% Advancing Parametric Optimization: On Multiparametric Linear Complementarity Problems with Parameters in General Locations
    Preț: 38783 lei
  • Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems: A Metaheuristic Approach
    Preț: 42706 lei
  • Bayesian and High-Dimensional Global Optimization
    Preț: 46055 lei
  • A Derivative-free Two Level Random Search Method for Unconstrained Optimization
    Preț: 42815 lei
  • 15% Algorithm Portfolios: Advances, Applications, and Challenges
    Preț: 38753 lei
  • From Approximate Variation to Pointwise Selection Principles
    Preț: 36316 lei
  • Optimization in Banach Spaces
    Preț: 36456 lei
  • Derivative-free DIRECT-type Global Optimization: Applications and Software
    Preț: 33266 lei

Preț: 38793 lei

Preț vechi: 45640 lei
-15%

Puncte Express: 582
Preț estimativ în valută:
6858€ • 8177$ • 5948£

Carte disponibilă

Livrare economică 23 februarie-09 martie
Livrare express 06-12 februarie pentru 2279 lei

 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9783030916534
ISBN-10: 3030916537
Pagini: 127
Ilustrații: VIII, 127 p. 2 illus.
Dimensiuni: 155 x 235 x 11 mm
Greutate: 0.2 kg
Ediția:1st ed. 2022
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Optimization

Locul publicării:Cham, Switzerland

Cuprins

1. Introduction.- 2. Notation and Mathematical Foundations.-3. The Krasnoselskii-Mann Iteration.- 4. Relations of the Krasnosel'skii-Mann Iteration and the Operator Splitting Methods.- 5. The Inertial Krasnoselskii-Mann Iteration.- 6. The Multi-step Inertial Krasnoselskii-Mann Iteration.- 7. Relaxation Parameters of the Krasnoselskii-Mann Iteration.- 8. Two Applications.

Caracteristici

Offers a self-contained presentation of both classical and new results for interdisciplinary research Contains cutting-edge techniques and various applications Discusses recent applications of KM in large-scale optimization methods