This brief explores the Krasnosel'skiĭ-Man (KM) iterative method, which has been extensively employed to find fixed points of nonlinear methods.
By:
Qiao-Li Dong, Yeol Je Cho, Songnian He, Panos M. Pardalos, Themistocles M. Rassias Imprint: Springer Nature Switzerland AG Country of Publication: Switzerland Edition: 1st ed. 2022 Dimensions:
Height: 235mm,
Width: 155mm,
Weight: 221g ISBN:9783030916534 ISBN 10: 3030916537 Series:SpringerBriefs in Optimization Pages: 127 Publication Date:25 February 2022 Audience:
Professional and scholarly
,
Undergraduate
Format:Paperback Publisher's Status: Active
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.