Add to ORKGThe adaptive cross approximation (ACA) algorithm has been used in many fast Integral Equation solvers for electromagnetic Radiation and Scattering problems. It efficiently computes a low rank approximation to the interaction matrix between mutually distant parts of a scattering object. The ACA is an iterative algorithm that needs an accurate and efficient convergence criterion. The evaluation of this criterion may consume a considerable part of the computational resources. This communication presents an efficient new way to evaluate the convergence criterion, using a stochastic approach.Peer Reviewe
We propose a new adaptive algorithm with decreasing step-size for stochastic approximations. The use...
AbstractWe propose a new adaptive algorithm with decreasing step-size for stochastic approximations....
The adaptive cross approximation (ACA) algorithm [2, 3] provides a means to com-pute data-sparse app...
The adaptive cross approximation (ACA) algorithm has been used in many fast Integral Equation solver...
The adaptive cross approximation (ACA) algorithm, when used to accelerate the numerical solution of ...
This paper proposes an adaptation of the conventional ACA algorithm for block-wise impedance matrix ...
This contribution identifies an often ignored source of uncertainty in the accuracy of the Adaptive ...
This contribution proposes an adapted version of the popular Adaptive Cross Approximation ...
This paper presents a modification of the adaptive cross approximation (ACA) algorithm for accelerat...
The adaptive cross approximation algorithm is invoked for the fast construction of the method-of-mom...
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
The adaptive cross approximation algorithm is invokedfor the fast construction of the method-of-mome...
The Adaptive Cross Approximation (ACA) algorithm has been used to compress the rank-deficient sub-bl...
In recent years, several methods have been developed for accelerating the iterative solution of the ...
An error bound of the multilevel adaptive cross approximation (MLACA 1, which is a multilevel versio...
We propose a new adaptive algorithm with decreasing step-size for stochastic approximations. The use...
AbstractWe propose a new adaptive algorithm with decreasing step-size for stochastic approximations....
The adaptive cross approximation (ACA) algorithm [2, 3] provides a means to com-pute data-sparse app...
The adaptive cross approximation (ACA) algorithm has been used in many fast Integral Equation solver...
The adaptive cross approximation (ACA) algorithm, when used to accelerate the numerical solution of ...
This paper proposes an adaptation of the conventional ACA algorithm for block-wise impedance matrix ...
This contribution identifies an often ignored source of uncertainty in the accuracy of the Adaptive ...
This contribution proposes an adapted version of the popular Adaptive Cross Approximation ...
This paper presents a modification of the adaptive cross approximation (ACA) algorithm for accelerat...
The adaptive cross approximation algorithm is invoked for the fast construction of the method-of-mom...
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for a...
The adaptive cross approximation algorithm is invokedfor the fast construction of the method-of-mome...
The Adaptive Cross Approximation (ACA) algorithm has been used to compress the rank-deficient sub-bl...
In recent years, several methods have been developed for accelerating the iterative solution of the ...
An error bound of the multilevel adaptive cross approximation (MLACA 1, which is a multilevel versio...
We propose a new adaptive algorithm with decreasing step-size for stochastic approximations. The use...
AbstractWe propose a new adaptive algorithm with decreasing step-size for stochastic approximations....
The adaptive cross approximation (ACA) algorithm [2, 3] provides a means to com-pute data-sparse app...