¿Tienes algo para mí? Amigo con esto no compras ni el pronóstico del clima en un día nublado. Eso es, ya estamos progresando, pero todavía puedes hacerlo mejor. Ah por cierto, perdón por mi falta de modales, pero uno nunca es demasiado precavido. Ahora dime ¿Qué puedo hacer por ti? ¿El origen del Linaje? Lo que pides no es cualquier cosa. Vampiros. Una palabra muy en boga en nuestros días que no define a la sociedad de los no-muertos, sus luchas intestinas, su pasado envuelto en un halo de misterio. Tampoco su futuro, encarnado en un asesino de sonrisa macabra. Estas páginas son un atisbo al Linaje, un mundo oculto que bien puede encontrarse al borde del colapso.
This book presents an introduction to the Finite Element Method (FEM) and is primarily aimed at students, engineers and scientists who already know structural calculation. It starts from the matrix reformulation of the direct stiffness method to understand the enormous potential of introducing the idea of the weak formulation for the approximation of strut structure problems. The correspondence of results between the initial classical formulation and that of the FEM when using linear shape functions and Hermite polynomials, makes it possible to approach its general formulation more easily as a procedure to obtain approximate solutions of differential equations in partial derivatives. It is essential now to introduce the idea of element, which allows, from the definition of a reduced number of base functions and through a simple combination process, to approximate its real behavior and, through superposition, that of the structure.
For any Microsoft Office user familiar with Word, Excel, PowerPoint, Access, or Outlook, this book provides tutorials on the tools and tricks that automate these programs for increased productivity. Each lesson includes instructions and a downloadable file on which to test the VBA macros and procedures provided. Tasks covered include how to run several mail merges at once, removing duplicates from data, and saving email attachments.
This book consists of contributions by leading authorities in nonlinear optics and optical physics. The topics covered include fundamental theories and formalisms on nonlinear optics and current topics of interest in optical physics, as well as more specialized subjects such as phase conjugation, nonlinear guided waves, parametric oscillations and some novel materials. The coverage is comprehensive but pedagogical in nature.
Con esta obra se pretenden unificar los fundamentos, métodos y técnicas de la química teórica y computacional. Además, cabe comentar que la presente edición no sólo va dirigida a estudiantes de doctorado (a fin de proporcionarles un nivel adecuado para sus estudios), sino que la materia se trata de manera suficientemente detallada para que lectores no tan expertos puedan acceder a ella sin ninguna dificultad
The subject of fractional calculus and its applications (that is, convolution-type pseudo-differential operators including integrals and derivatives of any arbitrary real or complex order) has gained considerable popularity and importance during the past three decades or so, mainly due to its applications in diverse fields of science and engineering. These operators have been used to model problems with anomalous dynamics, however, they also are an effective tool as filters and controllers, and they can be applied to write complicated functions in terms of fractional integrals or derivatives of elementary functions, and so on.This book will give readers the possibility of finding very important mathematical tools for working with fractional models and solving fractional differential equations, such as a generalization of Stirling numbers in the framework of fractional calculus and a set of efficient numerical methods. Moreover, we will introduce some applied topics, in particular fractional variational methods which are used in physics, engineering or economics. We will also discuss the relationship between semi-Markov continuous-time random walks and the space-time fractional diffusion equation, which generalizes the usual theory relating random walks to the diffusion equation. These methods can be applied in finance, to model tick-by-tick (log)-price fluctuations, in insurance theory, to study ruin, as well as in macroeconomics as prototypical growth models.All these topics are complementary to what is dealt with in existing books on fractional calculus and its applications. This book was written with a trade-off in mind between full mathematical rigor and the needs of readers coming from different applied areas of science and engineering. In particular, the numerical methods listed in the book are presented in a readily accessible way that immediately allows the readers to implement them on a computer in a programming language of their choice. Numerical code is also provided.
This book will give readers the possibility of finding very important mathematical tools for working with fractional models and solving fractional differential equations, such as a generalization of Stirling numbers in the framework of fractional calculus and a set of efficient numerical methods. Moreover, we will introduce some applied topics, in particular fractional variational methods which are used in physics, engineering or economics. We will also discuss the relationship between semi-Markov continuous-time random walks and the space-time fractional diffusion equation, which generalizes the usual theory relating random walks to the diffusion equation. These methods can be applied in finance, to model tick-by-tick (log)-price fluctuations, in insurance theory, to study ruin, as well as in macroeconomics as prototypical growth models.All these topics are complementary to what is dealt with in existing books on fractional calculus and its applications. This book will keep in mind the trade-off between full mathematical rigor and the needs of readers coming from different applied areas of science and engineering. In particular, the numerical methods listed in the book are presented in a readily accessible way that immediately allows the readers to implement them on a computer in a programming language of their choice.The second edition of the book has been expanded and now includes a discussion of additional, newly developed numerical methods for fractional calculus and a chapter on the application of fractional calculus for modeling processes in the life sciences.
Without reaching the level of a programmin gtext, this book discusses the background, architectural framework, and motivation for the TUXEDO System, describes TUXEDO's features, and gives a tour through TUXEDO's development and administrative facilities.
This IBM® Redbooks® publication addresses host attachment and interoperability considerations for the IBM System Storage® DS8000® series. Within this book, you can find information about the most popular host operating systems platforms, including Windows®, IBM AIX®, VIOS, Linux®, Solaris, HP-UX, VMware, Apple, and IBM z/OS® The topics covered in this book target administrators or other technical personnel with a working knowledge of storage systems and a general understanding of open systems. You can use this book as guidance when installing, attaching, and configuring System Storage DS8000. The practical, usage-oriented guidance provided in this book complements the IBM System Storage DS8000 Host Systems Attachment Guide, SC26-7917.
Here’s a unified evidence-based approach to problems encountered in trauma and critical care surgical situations. Comprehensive and concise, it is ideal for a quick overview before entering the operating room or ICU, or as a review for board certification or recertification. Be prepared for the unexpected with practical, concise coverage of major surgical problems in trauma and critical care. Get expert practical and up-to-date guidance on ventilator management, damage control, noninvasive techniques, imaging, infection control, dealing with mass casualties, treating injuries induced by chemical and biological agents, and much more. Find the information you need quickly and easily through numerous illustrations, key points boxes, algorithms, and tables.
This book explores and analyzes influential predictors and the underlying mechanisms of individual content sharing/retweeting behavior on social networking sites (SNS) from an empirical perspective. Since Individual content sharing/ retweeting behavior expedites information dissemination, it is a critical mechanism of information diffusion on Twitter. Individual sharing/retweeting behavior does not appear to happen randomly. So, what factors lead to individual information dissemination behavior? What are the dominating predictors? How does the recipient make retweeting decisions? How do these influential predictors combine and by what mechanism do they influence an individual’s retweeting decisions? Furthermore, are there any differences in the process of individual retweeting decisions? If so, what causes such differences? In order to answer these previously unexplored questions and gain a holistic view of individual retweeting behavior, the authors examined people’s retweeting history on Twitter and obtained a real dataset containing more than 60 million Twitter posts. They then employed text mining and natural language processing techniques to extract useful information from social media content, and used various feature selection methods to identify a subset of salient features that have substantial effects on individual retweeting behavior. Lastly, they applied the Elaboration Likelihood Model to build an overarching theoretical framework to reveal the underlying mechanisms of individual retweeting behavior. Given its scope, this book will appeal to researchers interested in investigating information dissemination on social media, as well as to marketers and administrators who plan to use social networking sites as an important avenue for information dissemination.
Welcome to Scientific Python and its community. If you’re a scientist who programs with Python, this practical guide not only teaches you the fundamental parts of SciPy and libraries related to it, but also gives you a taste for beautiful, easy-to-read code that you can use in practice. You’ll learn how to write elegant code that’s clear, concise, and efficient at executing the task at hand. Throughout the book, you’ll work with examples from the wider scientific Python ecosystem, using code that illustrates principles outlined in the book. Using actual scientific data, you’ll work on real-world problems with SciPy, NumPy, Pandas, scikit-image, and other Python libraries. Explore the NumPy array, the data structure that underlies numerical scientific computation Use quantile normalization to ensure that measurements fit a specific distribution Represent separate regions in an image with a Region Adjacency Graph Convert temporal or spatial data into frequency domain data with the Fast Fourier Transform Solve sparse matrix problems, including image segmentations, with SciPy’s sparse module Perform linear algebra by using SciPy packages Explore image alignment (registration) with SciPy’s optimize module Process large datasets with Python data streaming primitives and the Toolz library
This book provides a generalised approach to fractal dimension theory from the standpoint of asymmetric topology by employing the concept of a fractal structure. The fractal dimension is the main invariant of a fractal set, and provides useful information regarding the irregularities it presents when examined at a suitable level of detail. New theoretical models for calculating the fractal dimension of any subset with respect to a fractal structure are posed to generalise both the Hausdorff and box-counting dimensions. Some specific results for self-similar sets are also proved. Unlike classical fractal dimensions, these new models can be used with empirical applications of fractal dimension including non-Euclidean contexts. In addition, the book applies these fractal dimensions to explore long-memory in financial markets. In particular, novel results linking both fractal dimension and the Hurst exponent are provided. As such, the book provides a number of algorithms for properly calculating the self-similarity exponent of a wide range of processes, including (fractional) Brownian motion and Lévy stable processes. The algorithms also make it possible to analyse long-memory in real stocks and international indexes. This book is addressed to those researchers interested in fractal geometry, self-similarity patterns, and computational applications involving fractal dimension and Hurst exponent.
Real Analysis: An Undergraduate Problem Book for Mathematicians, Applied Scientists, and Engineers is a classical Real Analysis/Calculus problem book. This topic has been a compulsory subject for every undergraduate studying mathematics or engineering for a very long time. This volume contains a huge number of engaging problems and solutions, as well as detailed explanations of how to achieve these solutions. This latter quality is something that many problem books lack, and it is hoped that this feature will be useful to students and instructors alike. Features Hundreds of problems and solutions Can be used as a stand-alone problem book, or in conjunction with the author’s textbook, Real Analysis: An Undergraduate Textbook for Mathematicians, Applied Scientists, and Engineers, ISBN 9781032481487 Perfect resource for undergraduate students studying a first course in Calculus or Real Analysis Contains explanatory figures, detailed techniques, tricks, hints, and “recipes” on how to proceed once we have a calculus problem in front of us.
Memory errors, such as stack and integer vulnerabilities, still rank among the top most dangerous software security issues. Existing protection techniques, like Address Space Layout Randomization and Stack-Smashing Protection, prevent potential intrusions by crashing applications when anomalous behaviors are detected. Unfortunately, typical networking server architectures, such those used on Web servers ones, limit the effectiveness of such countermeasures. Since memory error exploits usually rely on highly specific processor characteristics, the same exploit rarely works on different hardware architectures. This paper proposes a novel strategy to thwart memory error exploitation by dynamically changing, upon crash detection, the variant executing the networking server. Required software diversification among variants is obtained using off-the-shelf cross-compilation suites, whereas hardware diversification relies on processor emulation. The proposed case study shows the feasibility and effectiveness of the approach to reduce the likelihood, and in some cases even prevent the possibility, of exploiting memory errors.
This unusual book takes the form of a dialogue between a linguist and another scientist. This unusual book takes the form of a dialogue between a linguist and another scientist. The dialogue takes place over six days, with each day devoted to a particular topic--and the ensuing digressions. The role of the linguist is to present the fundamentals of the minimalist program of contemporary generative grammar. Although the linguist serves essentially as a voice for Noam Chomsky's ideas, he is not intended to be a portrait of Chomsky himself. The other scientist functions as a kind of devil's advocate, making the arguments that linguists tend to face from those in the "harder" sciences. The author does far more than simply present the minimalist program. He conducts a running argument over the status of theoretical linguistics as a natural science. He raises the general issues of how we conceive words, phrases, and transformations, and what these processes tell us about the human mind. He also attempts to reconcile generative grammar with the punctuated equilibrium version of evolutionary theory. In his foreword, Massimo Piatelli-Palmarini says, "The vast number of readers who have been enthralled by Goedel, Escher, Bach may well like also this syntactic companion, a sort of 'Chomsky, Fibonacci, Bach.'".
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