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