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