Theta function identities from optical neural network transformations
We take a new approach to the generation of Jacobi theta function identities. It is complementary to the procedure which makes use of the evaluation of Parseval-like identities for elementary cylindrically-symmetric functions on computer holograms. Our method is more simple and explicit than this on...
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Main Authors: | E. Elizalde, A. Romeo |
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Format: | Article |
Language: | English |
Published: |
Wiley
1993-01-01
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Series: | International Journal of Mathematics and Mathematical Sciences |
Subjects: | |
Online Access: | http://dx.doi.org/10.1155/S0161171293001000 |
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