Titlebook: Superanalysis; Andrei Khrennikov Book 1999 Springer Science+Business Media Dordrecht 1999 Banach algebra.calculus.derivative.differential

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Andrei Khrennikovrm, improving robustness of latent feature learning using double-space, data-characteristic-aware latent feature learning, posterior-neighborhood-regularized latent feature learning, and generalized deep latent978-981-19-8139-5978-981-19-8140-1Series ISSN 2191-5768 Series E-ISSN 2191-5776

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Book 1999 generators were defined according to algebraic laws, and nothing like Newton‘s analysis arose when Martin‘s approach was used. Later, during the next twenty years, the algebraic apparatus de­ veloped by Martin was used in all mathematical works. We must point out here the considerable contribution

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Pseudodifferential Operators in Superanalysis,infinite number degrees of freedom. In a finite-dimensional case, we obtain quantum mechanics on the superspace R.Λ and in an infinite-dimensional case we obtain a quantum theory of a superfield, in particular, that of a superstring and superstring field, and fermion theories and boson theories with anticommuting Faddeev-Popov ghosts.

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Pseudodifferential Operators in Superanalysis,percoordinates. Thus, the proposed PDO calculus serves as a mathematical basis for the quantization of physical supersystems with a finite as well as infinite number degrees of freedom. In a finite-dimensional case, we obtain quantum mechanics on the superspace R.Λ and in an infinite-dimensional cas