69 resultados para Meyer–Konig and Zeller Operators


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This paper is a survey of our recent results on the bispectral problem. We describe a new method for constructing bispectral algebras of any rank and illustrate the method by a series of new examples as well as by all previously known ones. Next we exhibit a close connection of the bispectral problem to the representation theory of W1+∞–algerba. This connection allows us to explain and generalise to any rank the result of Magri and Zubelli on the symmetries of the manifold of the bispectral operators of rank and order two.

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* The second author is supported by the Alexander-von-Humboldt Foundation. He is on leave from: Institute of Mathematics, Academia Sinica, Beijing 100080, People’s Republic of China.

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In this paper, a novel approach for character recognition has been presented with the help of genetic operators which have evolved from biological genetics and help us to achieve highly accurate results. A genetic algorithm approach has been described in which the biological haploid chromosomes have been implemented using a single row bit pattern of 315 values which have been operated upon by various genetic operators. A set of characters are taken as an initial population from which various new generations of characters are generated with the help of selection, crossover and mutation. Variations of population of characters are evolved from which the fittest solution is found by subjecting the various populations to a new fitness function developed. The methodology works and reduces the dissimilarity coefficient found by the fitness function between the character to be recognized and members of the populations and on reaching threshold limit of the error found from dissimilarity, it recognizes the character. As the new population is being generated from the older population, traits are passed on from one generation to another. We present a methodology with the help of which we are able to achieve highly efficient character recognition.

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Mathematics Subject Classification: 26A16, 26A33, 46E15.

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Mathematics Subject Classification: Primary 47A60, 47D06.

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2000 Mathematics Subject Classification: Primary 42B20; Secondary 42B15, 42B25

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2000 Mathematics Subject Classification: 42B10, 43A32.

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2000 Mathematics Subject Classification: Primary 26A33, 30C45; Secondary 33A35

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2000 Mathematics Subject Classification: Primary 30C45, Secondary 26A33, 30C80

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2000 Mathematics Subject Classification: 44A35; 42A75; 47A16, 47L10, 47L80

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2000 Mathematics Subject Classification: 35E45

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2000 Mathematics Subject Classification: 33D15, 33D90, 39A13

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Mathematics Subject Classification: 35J05, 35J25, 35C15, 47H50, 47G30

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2000 Math. Subject Classification: 30C45

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Mathematics Subject Classification: 42A38, 42C40, 33D15, 33D60