Bøger af Roberto Minguez

Enrique Castillo is a leading figure in several mathematical, statistical, and engineering fields, having contributed seminal work in such areas as statistical modeling, extreme value analysis, multivariate distribution theory, Bayesian networks, neural networks, functional equations, artificial intelligence, linear algebra, optimization methods, numerical methods, reliability engineering, as well as sensitivity analysis and its applications. Organized to honor Castillo's significant contributions, this volume is an outgrowth of the International Conference on Mathematical and Statistical Modeling and covers recent advances in the field. Also presented are applications to safety, reliability and life-testing, financial modeling, quality control, general inference, as well as neural networks and computational techniques.The book is divided into nine major sections:* Distribution Theory and Applications* Probability and Statistics* Order Statistics and Analysis* Engineering Modeling* Extreme Value Theory* Business and Economics Applications* Statistical Methods* Applied Mathematics* Discrete DistributionsThis comprehensive reference work will appeal to a diverse audience from the statistical, applied mathematics, engineering, and economics communities. Practitioners, researchers, and graduate students in mathematical and statistical modeling, optimization, and computing will benefit from this work.

Presents a practical approach to decomposition techniques in optimization. This book addresses decomposition in linear programming, mixed-integer linear programming, nonlinear programming, and mixed-integer nonlinear programming, and provides decomposition algorithms as well as heuristic ones.

In the last decades, the increasing number of vehicles is producing important congestion problems in urban and inter-urban areas. Traffic congestion has many negative effects, such as, wasting time in non-productive activities, delays, pollution, and health problems, among others. For these reasons, the interest in traffic modelling has increased considerably within the scientific community, with the need to develop efficient and easy-to-use models, able to reproduce reality and future traffic situations. This book makes several contributions to transport demand modelling, developing different mathematical models to better reproduce existing traffic conditions. Among them, pointing out methods based on plate scanning for solving the trip matrix and path flows estimation and, tools to deal with the problem of observability of traffic networks. The book contents should be useful to professionals in the sector, or anyone else who may be interested in starting to research in the transport field due to the broad literature review. Its application could also help public administration to elaborate good mobility programs.