Thr formulation and analysis of numerical methods for inverse Eigenvalue problems
SIAM Journal on Numerical Analysis
Numerical methods for inverse singular value problems3
SIAM Journal on Numerical Analysis
On the Least Squares Solution of Inverse Eigenvalue Problems
SIAM Journal on Numerical Analysis
SIAM Review
Parallelization of a method for the solution of the inverse additive singular value problem
MATH'05 Proceedings of the 8th WSEAS International Conference on Applied Mathematics
VECPAR'06 Proceedings of the 7th international conference on High performance computing for computational science
Parallel optimization methods based on direct search
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I
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The work presented here is an experimental study of four iterative algorithms for solving the Inverse Additive Singular Value Problem (IASVP). The algorithms are analyzed and evaluated with respect to different points of view: memory requirements, convergence, accuracy and execution time, in order to observe their behaviour with different problem sizes and to identify those capable to solve the problem efficiently.