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The Dead of Summer
It was in the dead of summer, the hottest on record when it came to "Comal del Diablo" The Devil's Griddle, a two building remote desert hamlet near the California/Mexico border in the Imperial Valley. It was also the summer that brought the most violent sandstorm in the previous one hundred years. It was the summer when Jack cast the final link in the chain of events that turned into an incantation and evoked the deadly wrath of the centuries old legend that pursued him to Comal del Diablo, and exacted its revenge. Daylight eventually grasped the meaning of the signs and visions she was having that pointed to who the unearthly killer was and how it connected to Jack and she tried to convince Gabe. Only fate would tell if it would be too late.
A Unified Statistical Methodology for Modeling Fatigue Damage
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 of fatigue, their probabilistic nature is emphasized in this book, in which stochastic fatigue and c...
Extreme Value Theory in Engineering
This book is a comprehensive guide to extreme value theory in engineering. Written for the end user with intermediate and advanced statistical knowledge, it covers classical methods as well as recent advances. A collection of 150 examples illustrates the theoretical results and takes the reader from simple applications through complex cases of dependence.
Expert Systems and Probabilistic Network Models
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.
From Vectors to Tensors
This textbook deals with tensors that are treated as vectors. Coverage details such new tensor concepts as the rotation of tensors, the transposer tensor, the eigentensors, and the permutation tensor structure. The book covers an existing gap between the classic theory of tensors and the possibility of solving tensor problems with a computer. A complementary computer package, written in Mathematica, is available through the Internet.
Beyond the Eagle's Shadow
The dominant tradition in writing about U.S.–Latin American relations during the Cold War views the United States as all-powerful. That perspective, represented in the metaphor “talons of the eagle,” continues to influence much scholarly work down to the present day. The goal of this collection of essays is not to write the United States out of the picture but to explore the ways Latin American governments, groups, companies, organizations, and individuals promoted their own interests and perspectives. The book also challenges the tendency among scholars to see the Cold War as a simple clash of “left” and “right.” In various ways, several essays disassemble those categories and explore the complexities of the Cold War as it was experienced beneath the level of great-power relations.
Guatemala
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Bayesian Networks and Decision Graphs
Bayesian networks and decision graphs are formal graphical languages for representation and communication of decision scenarios requiring reasoning under uncertainty. Their strengths are two-sided. It is easy for humans to construct and understand them, and when communicated to a computer, they can easily be compiled. The book emphasizes both the human and the computer side. It gives a thorough introduction to Bayesian networks, decision trees and influence diagrams as well as algorithms and complexity issues.
