Modern logic has been intimately connected with algebra since its origins in figures such as Boole, De Morgan, and Peirce. ...
Lire la suiteThe sources of new ideas and methods include practical developments in areas such as neural networks, quantum computation, ...
Lire la suiteThis book deals with the differential geometry of manifolds, loop spaces, line bundles and groupoids, and the relations of ...
Lire la suiteThis book contains a detailed and complete demonstration of the existence of an equivariate isomorphism between the Lubin-Tate ...
Lire la suiteIt provides a complete and systematic introduction to the fundamentals of the hyperequational theory of universal algebra, ...
Lire la suiteIt provides a complete and systematic introduction to the fundamentals of the hyperequational theory of universal algebra, ...
Lire la suiteThe Scottish mathematician Colin MacLaurin (1698-1746) is best known for developing and extending Newton’s work in calculus, ...
Lire la suiteThis book presents the main mathematical machines for drawing curves, for applying geometrical transformations or for making ...
Lire la suiteThis book presents the main mathematical machines for drawing curves, for applying geometrical transformations or for making ...
Lire la suiteThis three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber ...
Lire la suiteThis three volume book set constitutes the proceedings of the Third International Conference on Machine Learning for Cyber ...
Lire la suiteWhile the original works on Malliavin calculus aimed to study the smoothness of densities of solutions to stochastic differential ...
Lire la suitethe history of mathematics there are many situations in which cal- lations were performed incorrectly for important practical ...
Lire la suiteIt is a challenging task to read the balance sheet of an insurance company. This derives from the fact that different positions ...
Lire la suiteMarkov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems ...
Lire la suiteMarkov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems ...
Lire la suiteMarkov decision processes (MDPs), also called stochastic dynamic programming, were first studied in the 1960s. MDPs can be ...
Lire la suiteThe book consists of two parts. Part I,This part introduces strong Markov processes and their potential theory. In particular,it ...
Lire la suiteThis book provides a comprehensive, self-contained and up-to-date treatment of the main topics in the theory of option pricing. ...
Lire la suiteThis book is entirely devoted to discrete time and provides a detailed introduction to the construction of the rigorous mathematical ...
Lire la suite