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Title:
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PARALLEL GLOBAL CONVERGENT ALGORITHMS FOR SOLVING THE INVERSE ADDITIVE SINGULAR VALUE PROBLEM |
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Author(s):
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Diego Alejandro Campo Aristizabal , Francisco José Correa Zabala , Georgina Flores Becerra , Antonio M. Vidal Maciá |
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ISBN:
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972-99353-6-X |
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Editors:
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Nuno Guimarães and Pedro Isaías |
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Year:
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2005 |
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Edition:
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1 |
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Keywords:
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Inverse Singular Value Problems, Genetic Algorithms, Global Convergence, Projection methods, Parallel Computing. |
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Type:
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Full Paper |
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First Page:
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49 |
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Last Page:
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56 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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In this paper, two parallel iterative algorithms for solving the Inverse Additive Singular Value Problem (IASVP) are proposed. The first one, denoted Lift and Project algorithm, is based on the use derivatives, formulating the IASVP like a problem of least squares. The second, based on Genetic Algorithms, is obtained when formulating the IASVP like a problem of optimization. They both are globally convergent. Numerical experiments are given to illustrate their behavior. |
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