Results 151 to 160 of about 4,131,044 (187)
Some of the next articles are maybe not open access.
2004
The normal forms discussed in this chapter are based on XOR and EQU as output connectives. The XOR-normal form is obscurely ascribed to Reed and Muller. Yet, as it seems to have been first considered and discussed systematically by Shegalkin [1927] I feel it a matter of fairness to call it and its dual a Shegalkin normal form.
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The normal forms discussed in this chapter are based on XOR and EQU as output connectives. The XOR-normal form is obscurely ascribed to Reed and Muller. Yet, as it seems to have been first considered and discussed systematically by Shegalkin [1927] I feel it a matter of fairness to call it and its dual a Shegalkin normal form.
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Onconephrology: The intersections between the kidney and cancer
Ca-A Cancer Journal for Clinicians, 2021Mitchell Rosner +2 more
exaly
2004
Given a classical Hamiltonian function having an absolute minimum, we consider the problem of describing in the semiclassical limit the lowest part of the spectrum of the corresponding quantum operator. To this end we present an extension of the classical Birkhoff normal form to the semiclassical context and we use it to deduce spectral information on ...
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Given a classical Hamiltonian function having an absolute minimum, we consider the problem of describing in the semiclassical limit the lowest part of the spectrum of the corresponding quantum operator. To this end we present an extension of the classical Birkhoff normal form to the semiclassical context and we use it to deduce spectral information on ...
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2003
Consider a smooth (real or complex) matrix-valued function A(e) of a (real) small parameter e, having formal power series $$ A\left( \varepsilon \right)\, \sim \,{A_{{0\,}}} + \varepsilon {A_1} + {\varepsilon^2}{A_2} + .... $$ (3.1.1) How do the eigenvectors (or generalized eigenvectors) and eigenvalues of such a matrix vary with e?
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Consider a smooth (real or complex) matrix-valued function A(e) of a (real) small parameter e, having formal power series $$ A\left( \varepsilon \right)\, \sim \,{A_{{0\,}}} + \varepsilon {A_1} + {\varepsilon^2}{A_2} + .... $$ (3.1.1) How do the eigenvectors (or generalized eigenvectors) and eigenvalues of such a matrix vary with e?
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Direct Observation of the Interconversion of Normal and Toxic Forms of α-Synuclein
Cell, 2012Nunilo Cremades +2 more
exaly
New developments in the diagnosis and treatment of thyroid cancer
Ca-A Cancer Journal for Clinicians, 2013David F Schneider
exaly