Local Newforms for GSp(4) describes a theory of new- and oldforms for representations of GSp(4) over a non-archimedean local ...
WeiterlesenOnce again KAM theory is committed in the context of nearly integrable Hamiltonian systems. While elliptic and hyperbolic ...
WeiterlesenThe book signifies the arrival of a new renaissance in logic, a new revival not only of logic, but of the vision of logic ...
WeiterlesenModern logic has been intimately connected with algebra since its origins in figures such as Boole, De Morgan, and Peirce. ...
WeiterlesenThis book deals with the differential geometry of manifolds, loop spaces, line bundles and groupoids, and the relations of ...
WeiterlesenThis book contains a detailed and complete demonstration of the existence of an equivariate isomorphism between the Lubin-Tate ...
WeiterlesenIt provides a complete and systematic introduction to the fundamentals of the hyperequational theory of universal algebra, ...
WeiterlesenIt provides a complete and systematic introduction to the fundamentals of the hyperequational theory of universal algebra, ...
WeiterlesenThe Scottish mathematician Colin MacLaurin (1698-1746) is best known for developing and extending Newton’s work in calculus, ...
WeiterlesenThis book presents the main mathematical machines for drawing curves, for applying geometrical transformations or for making ...
WeiterlesenThis book presents the main mathematical machines for drawing curves, for applying geometrical transformations or for making ...
WeiterlesenWhile the original works on Malliavin calculus aimed to study the smoothness of densities of solutions to stochastic differential ...
Weiterlesenthe history of mathematics there are many situations in which cal- lations were performed incorrectly for important practical ...
WeiterlesenIt is a challenging task to read the balance sheet of an insurance company. This derives from the fact that different positions ...
WeiterlesenMarkov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems ...
WeiterlesenMarkov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems ...
WeiterlesenMarkov decision processes (MDPs), also called stochastic dynamic programming, were first studied in the 1960s. MDPs can be ...
WeiterlesenThe book consists of two parts. Part I,This part introduces strong Markov processes and their potential theory. In particular,it ...
WeiterlesenThis book provides a comprehensive, self-contained and up-to-date treatment of the main topics in the theory of option pricing. ...
WeiterlesenWe talk about theater even if the page cannot tell about Bustric's unforgettable show. And about art, and applied arts, ...
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