Convergence Property of Aitken's Δ^2-Process and the Applicable Acceleration Process

スポンサーリンク

概要

• 論文の詳細を見る

• We first study the convergence property of Aitken's δ^2-process and then examine why Aitken's δ^2-process is not always successful in the improvement of convergence. Next, acceleration processes are proposed which are established by modifying Aitken's δ^2-process to be applicable for any problem. Then we show which acceleration processes should be used according to the magnitude of the absolutely largest eigenvalue of the iterative matrices. We give five examples to demonstrate the efficiency of the acceleration processes.

• 一般社団法人情報処理学会の論文
• 1984-03-31

著者

• Iguchi Ken

  Toyota College Of Technology

• Iguchi Ken

  Toyota National Technical College

関連論文

• Convergence Property of Aitken's Δ^2-Process and the Applicable Acceleration Process
• Acceleration Process for a Positive Definite Iterative Matrix
• An Algorithm of an Acceleration Process Covering the Aitken's δ^2-process
• An Acceleration Process for Iterated Vectors Generated by a Real Symmetric Matrix
• On the Aitken's δ^2-process

スポンサーリンク