Add to ORKGThis thesis describe Wynn and Shanks' epsilon algorithm and its implementations. The main objective of this study is to observe the characteristics of the epsilon algorithm and to formulate an update form of the epsilon algorithm to speed up iterative processes by reducing duplicated steps. The update epsilon algorithm has been tested on several sets of numerical problems and the results have been satisfactory.Computing and Information Science
Many methods have been used to improve the efficiency of iterative numerical algorithms. Combining d...
The purpose of this thesis is to trace the course of the mathematical Epsilon -e as found in mathe...
AbstractThe prediction properties of Aitken's iterated Δ2 process, Wynn's epsilon algorithm, and Bre...
AbstractThe epsilon algorithm is recommended as the best all-purpose acceleration method for slowly ...
AbstractThis paper introduces the improved functional epsilon algorithm. We have defined this new me...
The purpose of this thesis is to investigate certain properties of the epsilon algorithm (also calle...
When a sequence of numbers is slowly converging, it can be transformed into a new sequence which, un...
The expectation-maximization (EM) algorithm is a very general and popular iterative computational al...
In this thesis, Wynn's Vector Epsilon Algorithm (VEA) is examined. Although the usefulness of this s...
The ε-algorithm has been proposed by Wynn several times in order to accelerate the convergence ...
summary:An algorithm is presented in ALGOL 60 which automatizes the heuristical work of an investiga...
AbstractIn the case of a non-commutative algebra, the epsilon algorithm is deduced from the Padé app...
AbstractIn the case of a non-commutative algebra, the epsilon algorithm is deduced from the Padé app...
The vector epsilon-algorithm of Wynn is a powerful method for accelerating the convergence of vector...
AbstractWe compare the epsilon algorithm of Wynn with a generalization of summation by parts for acc...
Many methods have been used to improve the efficiency of iterative numerical algorithms. Combining d...
The purpose of this thesis is to trace the course of the mathematical Epsilon -e as found in mathe...
AbstractThe prediction properties of Aitken's iterated Δ2 process, Wynn's epsilon algorithm, and Bre...
AbstractThe epsilon algorithm is recommended as the best all-purpose acceleration method for slowly ...
AbstractThis paper introduces the improved functional epsilon algorithm. We have defined this new me...
The purpose of this thesis is to investigate certain properties of the epsilon algorithm (also calle...
When a sequence of numbers is slowly converging, it can be transformed into a new sequence which, un...
The expectation-maximization (EM) algorithm is a very general and popular iterative computational al...
In this thesis, Wynn's Vector Epsilon Algorithm (VEA) is examined. Although the usefulness of this s...
The ε-algorithm has been proposed by Wynn several times in order to accelerate the convergence ...
summary:An algorithm is presented in ALGOL 60 which automatizes the heuristical work of an investiga...
AbstractIn the case of a non-commutative algebra, the epsilon algorithm is deduced from the Padé app...
AbstractIn the case of a non-commutative algebra, the epsilon algorithm is deduced from the Padé app...
The vector epsilon-algorithm of Wynn is a powerful method for accelerating the convergence of vector...
AbstractWe compare the epsilon algorithm of Wynn with a generalization of summation by parts for acc...
Many methods have been used to improve the efficiency of iterative numerical algorithms. Combining d...
The purpose of this thesis is to trace the course of the mathematical Epsilon -e as found in mathe...
AbstractThe prediction properties of Aitken's iterated Δ2 process, Wynn's epsilon algorithm, and Bre...