Add to ORKGThe automated multilevel substructuring(AMLS) proposed by Bennighof and Kaplan et al.is a substitutive method that was recently developed for extracting thousands of eigenvalues of very large problems with millions of degrees of freedom,which can not be solved by standard Lanczos algorithm or sub...The automated multilevel substructuring(AMLS) proposed by Bennighof and Kaplan et al.is a substitutive method that was recently developed for extracting thousands of eigenvalues of very large problems with millions of degrees of freedom,which can not be solved by standard Lanczos algorithm or sub...The International Union of Theoretical and Applied Mechanics(IUTAM)、The Chinese Society of Theoretical and Applied Mechanics(CST
AMS subject classification. 65F15 Abstract. The Automated Multi-Level Sub-structuring (AMLS) method ...
Frequency response analysis for complex dynamical systems requires the solution of huge eigenvalue p...
Abstract. The direct applicability of SVD-based methods in model reduction of large linear systems i...
This paper improves the eigenpair approximations obtained from the automated multilevel substructuri...
The Automated Multilevel Sub-structuring (AMLS) method is a powerful technique for computing a large...
The Automated Multilevel Sub-structuring (AMLS) method is a powerful technique for computing a large...
The Automated Multi-Level Substructuring (AMLS) method has been developed to reduce the computationa...
textThe automated multilevel substructuring (AMLS) method, which was originally designed for effici...
The Automated Multilevel Substructing method (AMLS) was recently presented as an alternative to well...
textIn the design of vehicles, such as automobiles, aircraft, spacecraft, or submarines, it is impo...
We describe an efficient implementation and present a performance study of an algebraic multilevel ...
A parallelization concept for the adaptive multi-level substructuring (AMLS) method is presented, th...
We describe an efficient implementation and present aperformance study of an algebraic multilevel su...
Abstract. Simulating numerically the sound radiation of a rolling tire requires the solution of a ve...
Abstract. Simulating numerically the sound radiation of rolling tires requires the solution of very ...
AMS subject classification. 65F15 Abstract. The Automated Multi-Level Sub-structuring (AMLS) method ...
Frequency response analysis for complex dynamical systems requires the solution of huge eigenvalue p...
Abstract. The direct applicability of SVD-based methods in model reduction of large linear systems i...
This paper improves the eigenpair approximations obtained from the automated multilevel substructuri...
The Automated Multilevel Sub-structuring (AMLS) method is a powerful technique for computing a large...
The Automated Multilevel Sub-structuring (AMLS) method is a powerful technique for computing a large...
The Automated Multi-Level Substructuring (AMLS) method has been developed to reduce the computationa...
textThe automated multilevel substructuring (AMLS) method, which was originally designed for effici...
The Automated Multilevel Substructing method (AMLS) was recently presented as an alternative to well...
textIn the design of vehicles, such as automobiles, aircraft, spacecraft, or submarines, it is impo...
We describe an efficient implementation and present a performance study of an algebraic multilevel ...
A parallelization concept for the adaptive multi-level substructuring (AMLS) method is presented, th...
We describe an efficient implementation and present aperformance study of an algebraic multilevel su...
Abstract. Simulating numerically the sound radiation of a rolling tire requires the solution of a ve...
Abstract. Simulating numerically the sound radiation of rolling tires requires the solution of very ...
AMS subject classification. 65F15 Abstract. The Automated Multi-Level Sub-structuring (AMLS) method ...
Frequency response analysis for complex dynamical systems requires the solution of huge eigenvalue p...
Abstract. The direct applicability of SVD-based methods in model reduction of large linear systems i...