A Particle Strategy for Solving the Fokker-Planck Equation Modelling the Fiber Orientation Distribution in Steady Recirculating ...
Continue readingMeshfree methods for the numerical solution of partial differential equations are becoming more and more mainstream in many ...
Continue readingMetaheuristic Procedures For Training Neural Networks provides successful implementations of metaheuristic methods for neural ...
Continue readingSince the early 70's, mixed finite elements have been the object of a wide and deep study by the mathematical and engineering ...
Continue readingModeling Uncertainty: An Examination of Stochastic Theory, Methods, and Applications, is a volume undertaken by the friends ...
Continue reading"Mono-Cycle Photonics and Optical Scanning Tunneling Microscopy" deals with both the ultrashort laser-pulse technology ...
Continue readingThis book aims to present the theoretical and methodological foundations of numerical analysis. Particular attention is paid ...
Continue readingNeural Networks: Computational Models and Applications covers a wealth of important theoretical and practical issues in neural ...
Continue readingWe present in this volume the collection of ?nally accepted papers of NOLISP 2005 conference. It has been the third event ...
Continue readingA fundamental issue in statistical analysis is testing the fit of a particular probability model to a set of observed data. ...
Continue readingIntroduces readers to the theory and application of modern numerical approximation techniques. Providing an accessible treatment ...
Continue readingConstitutes the refereed post-proceedings of the Third International Conference on Numerical Analysis and Its Applications, ...
Continue readingAlthough the aim of this book is to give a unified introduction into finite and boundary element methods, the main focus ...
Continue readingNumerical mathematics is the branch of mathematics that proposes, develops, analyzes and applies methods from scientific ...
Continue readingThe Markov chain approximation methods are widely used for the numerical solution of nonlinear stochastic control problems ...
Continue readingThis book is a detailed and step-by-step introduction to the mathematical foundations of ordinary and partial differential ...
Continue readingOne of the most important and challenging problems in control is the derivation of systematic tools for the computation of ...
Continue readingThe book is devoted both to researchers wishing to acquire a basic knowledge on the optimization of complex mechanical systems ...
Continue readingWritten by one of the world’s leading groups in the area of Bayesian identification, control and decision making, this ...
Continue readingSpecial functions and orthogonal polynomials in particular have been around for centuries. Can you imagine mathematics without ...
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