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