The sources of new ideas and methods include practical developments in areas such as neural networks, quantum computation, ...
Lire la suite
This book deals with the differential geometry of manifolds, loop spaces, line bundles and groupoids, and the relations of ...
Lire la suite
This book contains a detailed and complete demonstration of the existence of an equivariate isomorphism between the Lubin-Tate ...
Lire la suite
It provides a complete and systematic introduction to the fundamentals of the hyperequational theory of universal algebra, ...
Lire la suite
It provides a complete and systematic introduction to the fundamentals of the hyperequational theory of universal algebra, ...
Lire la suite
The Scottish mathematician Colin MacLaurin (1698-1746) is best known for developing and extending Newton’s work in calculus, ...
Lire la suite
This book presents the main mathematical machines for drawing curves, for applying geometrical transformations or for making ...
Lire la suite
This book presents the main mathematical machines for drawing curves, for applying geometrical transformations or for making ...
Lire la suite
This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber ...
Lire la suite
This three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber ...
Lire la suite
While the original works on Malliavin calculus aimed to study the smoothness of densities of solutions to stochastic differential ...
Lire la suite
the history of mathematics there are many situations in which cal- lations were performed incorrectly for important practical ...
Lire la suite
It is a challenging task to read the balance sheet of an insurance company. This derives from the fact that different positions ...
Lire la suite
Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems ...
Lire la suite
Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems ...
Lire la suite
Markov decision processes (MDPs), also called stochastic dynamic programming, were first studied in the 1960s. MDPs can be ...
Lire la suite
The book consists of two parts. Part I,This part introduces strong Markov processes and their potential theory. In particular,it ...
Lire la suite
This book provides a comprehensive, self-contained and up-to-date treatment of the main topics in the theory of option pricing. ...
Lire la suite
This book is entirely devoted to discrete time and provides a detailed introduction to the construction of the rigorous mathematical ...
Lire la suite
We talk about theater even if the page cannot tell about Bustric's unforgettable show. And about art, and applied arts, ...
Lire la suite