A first-year graduate text on linear algebra for applications, this book is divided into four parts. The first part deals with linear spaces, matrices, systems of equations (including the problems of compatibility and uniqueness), and obtaining their solutions. The second part deals with cones and systems of linear equalities and inequalities in unrestricted, restricted and strictly restricted variables. The third part presents linear programming problems and the new exterior-point method. The fourth presents a wide collection of examples from the areas of mathematics, physics, and...
A first-year graduate text on linear algebra for applications, this book is divided into four parts. The first part deals with linear spaces, matrices...
Artificial neural networks have been recognized as a powerful tool to learn and reproduce systems in various fields of applications. Neural net works are inspired by the brain behavior and consist of one or several layers of neurons, or computing units, connected by links. Each artificial neuron receives an input value from the input layer or the neurons in the previ ous layer. Then it computes a scalar output from a linear combination of the received inputs using a given scalar function (the activation function), which is assumed the same for all neurons. One of the main properties of neural...
Artificial neural networks have been recognized as a powerful tool to learn and reproduce systems in various fields of applications. Neural net works ...
N. Balakrishnan Enrique Castillo Jose Maria Sarabia
Barry Arnold has made fundamental contributions to many different areas of statistics, including distribution theory, Bayesian inference, multivariate analysis, bounds and orderings, and characterization problems. Organized to honor Arnold's significant contributions to the field, this volume is an outgrowth of the "International Conference on Distribution Theory, Order Statistics, and Inference," held at the University of Cantabria, Santander, Spain.
Several distinguished and active researchers highlight some of the recent developments in statistical distribution theory,...
Barry Arnold has made fundamental contributions to many different areas of statistics, including distribution theory, Bayesian inference, multivari...
This book is an attempt to provide a uni?ed methodology to derive models for fatigue life. This includes S-N, ?-N and crack propagation models. This is not a conventional book aimed at describing the fatigue fundamentals, but rather a book in which the basic models of the three main fatigue approaches, the stress-based, the strain-based and the fracture mechanics approaches, are contemplated from a novel and integrated point of view. On the other hand, as an alternative to the preferential attention paid to deterministic models based on the physical, phenomenological and empirical description...
This book is an attempt to provide a uni?ed methodology to derive models for fatigue life. This includes S-N, ?-N and crack propagation models. This i...
Barry C. Arnold Enrique Castillo Jose-Maria Sarabia
The concept of conditional specification is not new. It is likely that earlier investigators in this area were deterred by computational difficulties encountered in the analysis of data following con ditionally specified models. Readily available computing power has swept away that roadblock. A broad spectrum of new flexible models may now be added to the researcher's tool box. This mono graph provides a preliminary guide to these models. Further development of inferential techniques, especially those involving concomitant variables, is clearly called for. We are grateful for invaluable...
The concept of conditional specification is not new. It is likely that earlier investigators in this area were deterred by computational difficulties ...
Artificial intelligence and expert systems have seen a great deal of research in recent years, much of which has been devoted to methods for incorporating uncertainty into models. This book is devoted to providing a thorough and up-to-date survey of this field for researchers and students.
Artificial intelligence and expert systems have seen a great deal of research in recent years, much of which has been devoted to methods for incorpora...
Artificial neural networks have been recognized as a powerful tool to learn and reproduce systems in various fields of applications. Neural net- works are inspired by the brain behavior and consist of one or several layers of neurons, or computing units, connected by links. Each artificial neuron receives an input value from the input layer or the neurons in the previ- ous layer. Then it computes a scalar output from a linear combination of the received inputs using a given scalar function (the activation function), which is assumed the same for all neurons. One of the main properties of...
Artificial neural networks have been recognized as a powerful tool to learn and reproduce systems in various fields of applications. Neural net- works...
Barry C. Arnold Enrique Castillo Jose-Maria Sarabia
Efforts to visualize multivariate densities necessarily involve the use of cross-sections, or, equivalently, conditional densities. This book focuses on distributions that are completely specified in terms of conditional densities. They are appropriately used in any modeling situation where conditional information is completely or partially available. All statistical researchers seeking more flexible models than those provided by classical models will find conditionally specified distributions of interest.
Efforts to visualize multivariate densities necessarily involve the use of cross-sections, or, equivalently, conditional densities. This book focuses ...
