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Steve Jobs
by Walter IsaacsonLa biografía definitiva de Steve Jobs, el fundador de Apple, escrita con su colaboración. La muerte de Steve Jobs ha conmocionado al mundo. Tras entrevistarlo en más de cuarenta ocasiones en los últimos dos años, además de a un centenar de personas de su entorno, familiares, amigos, adversarios y colegas, Walter Isaacson nos presenta la única biografía escrita con la colaboración de Jobs, el retrato definitivo de uno de los iconos indiscutibles de nuestro tiempo, la crónica de la agitada vida y abrasiva personalidad del genio cuya creatividad, energía y afán de perfeccionismo revolucionaron seis industrias: la informática, el cine de animación, la música, la telefonía, las tabletas y la edición digital. Consciente de que la mejor manera de crear valor en el siglo XXI es conectar la creatividad con la tecnología, Jobs fundó una empresa en la que impresionantes saltos de la imaginación van de la mano de asombrosos logros tecnológicos. Aunque Jobs colaboró en el libro, no pidió ningún control sobre el contenido, ni siquiera ejerció el derecho a leerlo antes de su publicación. No rehuyó ningún tema y animó a la gente que conocía a hablar con franqueza. «He hecho muchas cosas de las que no me siento orgulloso, como dejar a mi novia embarazada a los veintitrés años y cómo me comporté entonces, pero no hay ningún cadáver en mi armario que no pueda salir a la luz». Jobs habla con una sinceridad a veces brutal sobre la gente con la que ha trabajado y contra la que ha competido. De igual modo, sus amigos, rivales y colegas ofrecen una visión sin edulcorar de las pasiones, los demonios, el perfeccionismo, los deseos, el talento, los trucos y la obsesión por controlarlo todo que modelaron su visión empresarial y los innovadores productos que logró crear. Su historia, por tanto, está llena de enseñanzas sobre innovación, carácter, liderazgo y valores. La vida de un genio capaz de enfurecer y seducir a partes iguales. Reseña:«El fallecimiento de Steve Jobs ha precipitado un alud de libros sobre su figura. De todos ellos, la aproximación más completa e interesante al personaje es la de Isaacson.»La Vanguardia
Steve Jobs
by Patricia LakinWritten especially for a young audience, a must-read biography of Steve Jobs: visionary, entrepreneur, inventor, and cofounder of Apple.Visionary. Pioneer. Little terror. Entrepreneur. Inventor. College dropout. Creative genius. These are just a few of the words used to describe the late Steve Jobs, cofounder, chairman, and chief executive officer of Apple Inc. Available in both paperback and hardcover, Patricia Lakin's biography for middle-grade readers tells the captivating and inspirational story of the 'Thomas Edison' of our time.
Steve Jobs: Thinking Differently
by Patricia LakinWritten especially for a young audience, a must-read biography of Steve Jobs: visionary, entrepreneur, inventor, and cofounder of Apple. Visionary. Pioneer. Little terror. Entrepreneur. Inventor. College dropout. Creative genius. These are just a few of the words used to describe the late Steve Jobs, cofounder, chairman, and chief executive officer of Apple Inc.
Steve Jobs: A Biographic Portrait
by Kevin LynchThis is a stunning visual guide to the life and works of entrepreneur Steve Jobs. Easily one of the most influential innovators of the twenty-first century, Steve Jobs has fundamentally shaped the way in which we communicate and, even more broadly, live our lives. In this information-packed graphic biography, Steve Jobs&’ remarkable talent and genius are explored through bold design and original graphics. Kevin Lynch explores Jobs' journey from savvy salesman, to his rivalry and market competition with Bill Gates, and his shift towards radical innovations in later life. This technological innovator led a fascinating, astounding and ultimately too short life, that irreversibly impacted how we communicate. Steve Jobs is a visual celebration and comprehensive study of &‘The Maverick&’ and his work; and a must-have for any fan of Apple products.
Steve Jobs: The Journey Is the Reward
by Jeffrey S. YoungSteve Jobs embarks on a new venture in Silicon Valley after resigning as Chairman with Apple Computers. He had to face hostilities from the management of the Apple Board in his new business. This book narrates his way to success.
Sticky Branding: 12.5 Principles to Stand Out, Attract Customers, and Grow an Incredible Brand
by Jeremy Miller#1 Globe and Mail Bestseller 2016 Small Business Book Awards — Nominated, Marketing category Sticky Brands exist in almost every industry. Companies like Apple, Nike, and Starbucks have made themselves as recognizable as they are successful. But large companies are not the only ones who can stand out. Any business willing to challenge industry norms and find innovative ways to serve its customers can grow into a Sticky Brand. Based on a decade of research into what makes companies successful, Sticky Branding is your branding playbook. It provides ideas, stories, and exercises that will make your company stand out, attract customers, and grow into an incredible brand. Sticky Branding’s 12.5 guiding principles are drawn from hundreds of interviews with CEOs and business owners who have excelled within their industries.
Still Point
by Katie KacvinskyIn the final installment to the trilogy begun with Awaken, Maddie returns home to make her final stand against Digital School, and uncovers deeply guarded secrets about her family an new truths about herself.
Still Reigning: Thoughts of a Queen
by The Queen [of Twitter @queen_uk]“The Queen’s fake tweets perfectly sum up British humour . . . on a rather glorious spoof twitter account” (Culture Trip). She may not know firsthand the challenges of sitting atop the British throne for more than sixty years, but @Queen_UK has learned that ruling the Twitterverse is not for the faint of heart—or wit. Despite it all, she’s still in charge, still iconic, and still keeping the gin industry in business. Still reigning. In this uproarious collection of musings from a matriarch, the Queen [of Twitter] shares some unvarnished opinions about her subjects and the rest of the civilized world. Of her adoring public across the pond in America, she notes, “One thinks of them as a mother thinks of a teenage boy: with a mixture of pride and exasperation.” Witty and insightful, Still Reigning is a glimpse inside the mind of Britain’s pop monarch. Praise for The Queen [of Twitter]’s Gin O’Clock “Easily one of the funniest fictional Twitter accounts.” —Style & Then Some “It’s the sort of book to leave beside the loo, a jokey compilation you can dip in and out of—though I will be reading it from cover to cover, grinning from ear to ear because of its sharp, quick-witted and always apt sending-up of people with a public life.” —Foodepedia “Our favourite tweeter is publishing her diary. Here’s The Queen [of Twitter]’s guide to festive etiquette.” —Marie Claire “Witty and irreverent peeks at the innermost thoughts of the Royal Family.” —Choice
Still Searching for Satoshi: Unveiling the Blockchain Revolution
by Anders LisdorfWe are at the threshold of a new area of the internet that promises to transform the way we engage financially and take the power of data and privacy back from big corporations and give it to the individual through decentralization. This is sometimes called Web 3.0. While Web 1.0 transformed information sharing and commerce and brought us giants like Google and Amazon and Web 2.0 unlocked the social potential of the internet and created Facebook, Twitter, and Snapchat, exactly what will come of Web 3.0 remains to be seen. It is indisputable that the seed of Web 3.0 is the technological, social, and economic innovations that came together in Bitcoin and the blockchain technology it created. But where the first web iterations were relatively straightforward to understand, the inner workings of Web 3.0 remain more opaque and shrouded in mystique. Current voices on Bitcoin and the blockchain revolution fall squarely into one of two camps; either technological “experts” who are all also invariably personally invested in the success of Bitcoin and the blockchain or “critics” who are typically deeply invested in the status quo and the failure of Bitcoin and blockchain. It seems like there is a need for a middle ground to provide the public with a more unbiased view of this important technology. This book therefore aims to unveil some of the mystique and show how to unlock the potential of the blockchain revolution in a manner that does not dismiss out of hand even radical and outlandish ideas nor jumps on the bandwagon of hailing Bitcoin and the blockchain as the answer to all problems. What you’ll learn The nature of blockchain technology, how it works and what it does.The history of the technological developments that lead to the blockchain.A historical analysis of who the likely creator of Bitcoin is.How bitcoin and cryptocurrencies fit in the history of human exchange.The nature and history of electronic money.How blockchain technology solves problems in a novel way and what it cannot be used for.What web 3.0 could be. Who This Book Is For This book is for a general non-technical audience trying to understand the difficult and complex nature of blockchain and cryptocurrencies and the contours of the Web 3.0 revolution.
STL Pocket Reference
by Ray LischnerThe STL Pocket Reference describes the functions, classes, and templates in that part of the C++ standard library often referred to as the Standard Template Library (STL). The STL encompasses containers, iterators, algorithms, and function objects, which collectively represent one of the most important and widely used subsets of standard library functionality. The C++ standard library, even the subset known as the STL, is vast. It's next to impossible to work with the STL without some sort of reference at your side to remind you of template parameters, function invocations, return types--indeed, the entire myriad of details you need to know in order to use the STL effectively and get work done. You need a memory-aid. Books that cover the standard library and the STL tend to be quite heavy and large, describing each aspect of the STL in detail. Such books are great when you're not familiar with the library, but get in the way when you simply need to remind yourself of a function name, or the order in which you pass arguments to a function. Programmers familiar with the STL need a small, lightweight memory-aid. That's what the STL Pocket Reference is. It's small, lightweight, and chock-full of information that you can take in at a glance, so you can get on with your work.
STL Pocket Reference: Containers, Iterators, and Algorithms (Pocket Reference (O'Reilly))
by Ray LischnerThe STL Pocket Reference describes the functions, classes, and templates in that part of the C++ standard library often referred to as the Standard Template Library (STL). The STL encompasses containers, iterators, algorithms, and function objects, which collectively represent one of the most important and widely used subsets of standard library functionality.The C++ standard library, even the subset known as the STL, is vast. It's next to impossible to work with the STL without some sort of reference at your side to remind you of template parameters, function invocations, return types--indeed, the entire myriad of details you need to know in order to use the STL effectively and get work done. You need a memory-aid.Books that cover the standard library and the STL tend to be quite heavy and large, describing each aspect of the STL in detail. Such books are great when you're not familiar with the library, but get in the way when you simply need to remind yourself of a function name, or the order in which you pass arguments to a function. Programmers familiar with the STL need a small, lightweight memory-aid. That's what the STL Pocket Reference is. It's small, lightweight, and chock-full of information that you can take in at a glance, so you can get on with your work.
Stochastic Approaches to Electron Transport in Micro- and Nanostructures (Modeling and Simulation in Science, Engineering and Technology)
by Mihail Nedjalkov Ivan Dimov Siegfried SelberherrThe book serves as a synergistic link between the development of mathematical models and the emergence of stochastic (Monte Carlo) methods applied for the simulation of current transport in electronic devices. Regarding the models, the historical evolution path, beginning from the classical charge carrier transport models for microelectronics to current quantum-based nanoelectronics, is explicatively followed. Accordingly, the solution methods are elucidated from the early phenomenological single particle algorithms applicable for stationary homogeneous physical conditions up to the complex algorithms required for quantum transport, based on particle generation and annihilation. The book fills the gap between monographs focusing on the development of the theory and the physical aspects of models, their application, and their solution methods and monographs dealing with the purely theoretical approaches for finding stochastic solutions of Fredholm integral equations.
Stochastic Approximation: Second Edition (Texts and Readings in Mathematics #48)
by Vivek S. BorkarThis book serves as an advanced text for a graduate course on stochastic algorithms for graduate students in probability and statistics, engineering, economics and machine learning. This second edition gives a comprehensive treatment of stochastic approximation algorithms based on the “ordinary differential equation (ODE) approach” which analyses the algorithm in terms of a limiting ODE. It has a streamlined treatment of the classical convergence analysis and includes several recent developments such as concentration bounds, avoidance of traps, stability tests, distributed and asynchronous schemes, multiple time scales, general noise models, etc., and a category-wise exposition of many important applications. It is also a useful reference for researchers and practitioners in the field.
Stochastic Approximation: A Dynamical Systems Viewpoint (Texts and Readings in Mathematics #48)
by Vivek S. BorkarThis book serves as an advanced text for a graduate course on stochastic algorithms for the students of probability and statistics, engineering, economics and machine learning. This second edition gives a comprehensive treatment of stochastic approximation algorithms based on the ordinary differential equation (ODE) approach which analyses the algorithm in terms of a limiting ODE. It has a streamlined treatment of the classical convergence analysis and includes several recent developments such as concentration bounds, avoidance of traps, stability tests, distributed and asynchronous schemes, multiple time scales, general noise models, etc., and a category-wise exposition of many important applications. It is also a useful reference for researchers and practitioners in the field.
Stochastic Control and Filtering over Constrained Communication Networks (Studies in Systems, Decision and Control #178)
by Qinyuan Liu Zidong Wang Xiao HeStochastic Control and Filtering over Constrained Communication Networks presents up-to-date research developments and novel methodologies on stochastic control and filtering for networked systems under constrained communication networks. It provides a framework of optimal controller/filter design, resilient filter design, stability and performance analysis for the systems considered, subject to various kinds of communication constraints, including signal-to-noise constraints, bandwidth constraints, and packet drops. Several techniques are employed to develop the controllers and filters desired, including:recursive Riccati equations;matrix decomposition;optimal estimation theory; andmathematical optimization methods.Readers will benefit from the book’s new concepts, models and methodologies that have practical significance in control engineering and signal processing. Stochastic Control and Filtering over Constrained Communication Networks is a practical research reference for engineers dealing with networked control and filtering problems. It is also of interest to academics and students working in control and communication networks.
Stochastic Finance with Python: Design Financial Models from Probabilistic Perspective
by Avishek NagJourney through the world of stochastic finance from learning theory, underlying models, and derivations of financial models (stocks, options, portfolios) to the almost production-ready Python components under cover of stochastic finance. This book will show you the techniques to estimate potential financial outcomes using stochastic processes implemented with Python. The book starts by reviewing financial concepts, such as analyzing different asset types like stocks, options, and portfolios. It then delves into the crux of stochastic finance, providing a glimpse into the probabilistic nature of financial markets. You’ll look closely at probability theory, random variables, Monte Carlo simulation, and stochastic processes to cover the prerequisites from the applied perspective. Then explore random walks and Brownian motion, essential in understanding financial market dynamics. You’ll get a glimpse of two vital modelling tools used throughout the book - stochastic calculus and stochastic differential equations (SDE). Advanced topics like modeling jump processes and estimating their parameters by Fourier-transform-based density recovery methods can be intriguing to those interested in full-numerical solutions of probability models. Moving forward, the book covers options, including the famous Black-Scholes model, dissecting it from both risk-neutral probability and PDE perspectives. A chapter at the end also covers the discovery of portfolio theory, beginning with mean-variance analysis and advancing to portfolio simulation and the efficient frontier. What You Will Learn Understand applied probability and statistics with finance Design forecasting models of the stock price with the stochastic process, Monte-Carlo simulation. Option price estimation with both risk-neutral probabilistic and PDE-driven approach. Use Object-oriented Python to design financial models with reusability. Who This Book Is For Data scientists, quantitative researchers and practitioners, software engineers and AI architects interested in quantitative finance
Stochastic Geometry: Modern Research Frontiers (Lecture Notes in Mathematics #2237)
by David CoupierThis volume offers a unique and accessible overview of the most active fields in Stochastic Geometry, up to the frontiers of recent research. Since 2014, the yearly meeting of the French research structure GDR GeoSto has been preceded by two introductory courses. This book contains five of these introductory lectures. The first chapter is a historically motivated introduction to Stochastic Geometry which relates four classical problems (the Buffon needle problem, the Bertrand paradox, the Sylvester four-point problem and the bicycle wheel problem) to current topics. The remaining chapters give an application motivated introduction to contemporary Stochastic Geometry, each one devoted to a particular branch of the subject: understanding spatial point patterns through intensity and conditional intensities; stochastic methods for image analysis; random fields and scale invariance; and the theory of Gibbs point processes. Exposing readers to a rich theory, this book will encourage further exploration of the subject and its wide applications.
Stochastic Geometry Analysis of Multi-Antenna Wireless Networks
by Xianghao Yu Chang Li Jun Zhang Khaled B. LetaiefThis book presents a unified framework for the tractable analysis of large-scale, multi-antenna wireless networks using stochastic geometry. This mathematical analysis is essential for assessing and understanding the performance of complicated multi-antenna networks, which are one of the foundations of 5G and beyond networks to meet the ever-increasing demands for network capacity. Describing the salient properties of the framework, which makes the analysis of multi-antenna networks comparable to that of their single-antenna counterparts, the book discusses effective design approaches that do not require complex system-level simulations. It also includes various application examples with different multi-antenna network models to illustrate the framework’s effectiveness.
Stochastic Geometry for Wireless Networks
by Martin HaenggiCovering point process theory, random geometric graphs and coverage processes, this rigorous introduction to stochastic geometry will enable you to obtain powerful, general estimates and bounds of wireless network performance and make good design choices for future wireless architectures and protocols that efficiently manage interference effects. Practical engineering applications are integrated with mathematical theory, with an understanding of probability the only prerequisite. At the same time, stochastic geometry is connected to percolation theory and the theory of random geometric graphs and accompanied by a brief introduction to the R statistical computing language. Combining theory and hands-on analytical techniques with practical examples and exercises, this is a comprehensive guide to the spatial stochastic models essential for modelling and analysis of wireless network performance.
Stochastic Methods for Modeling and Predicting Complex Dynamical Systems: Uncertainty Quantification, State Estimation, and Reduced-Order Models (Synthesis Lectures on Mathematics & Statistics)
by Nan ChenThis Second Edition is an essential guide to understanding, modeling, and predicting complex dynamical systems using new methods with stochastic tools. Expanding upon the original book, the author covers a unique combination of qualitative and quantitative modeling skills, novel efficient computational methods, rigorous mathematical theory, as well as physical intuitions and thinking. The author presents mathematical tools for understanding, modeling, and predicting complex dynamical systems using various suitable stochastic tools. The book provides practical examples and motivations when introducing these tools, merging mathematics, statistics, information theory, computational science, and data science. The author emphasizes the balance between computational efficiency and modeling accuracy while equipping readers with the skills to choose and apply stochastic tools to a wide range of disciplines. This second edition includes updated discussion of combining stochastic models with machine learning and addresses several additional topics, including importance sampling, regression, and maximum likelihood estimate. The author also introduces a new chapter on optimal control.
Stochastic Methods in Scientific Computing: From Foundations to Advanced Techniques (Chapman & Hall/CRC Numerical Analysis and Scientific Computing Series)
by Massimo D'Elia Kurt Langfeld Biagio LuciniStochastic Methods in Scientific Computing: From Foundations to Advanced Techniques introduces the reader to advanced concepts in stochastic modelling, rooted in an intuitive yet rigorous presentation of the underlying mathematical concepts. A particular emphasis is placed on illuminating the underpinning Mathematics, and yet have the practical applications in mind. The reader will find valuable insights into topics ranging from Social Sciences and Particle Physics to modern-day Computer Science with Machine Learning and AI in focus. The book also covers recent specialised techniques for notorious issues in the field of stochastic simulations, providing a valuable reference for advanced readers with an active interest in the field.Features Self-contained, starting from the theoretical foundations and advancing to the most recent developments in the field Suitable as a reference for post-graduates and researchers or as supplementary reading for courses in numerical methods, scientific computing, and beyond Interdisciplinary, laying a solid ground for field-specific applications in finance, physics and biosciences on common theoretical foundations Replete with practical examples of applications to classic and current research problems in various fields.
Stochastic Modeling and Optimization Methods for Critical Infrastructure Protection, Volume 2: Methods and Tools (ISTE Invoiced)
by Alexei A. Gaivoronski Pavel S. Knopov Vladimir I. Norkin Volodymyr A. ZaslavskyiStochastic Modeling and Optimization Methods for Critical Infrastructure Protection is a thorough exploration of mathematical models and tools that are designed to strengthen critical infrastructures against threats – both natural and adversarial. Divided into two volumes, this first volume examines stochastic modeling across key economic sectors and their interconnections, while the second volume focuses on advanced mathematical methods for enhancing infrastructure protection. The book covers a range of themes, including risk assessment techniques that account for systemic interdependencies within modern technospheres, the dynamics of uncertainty, instability and system vulnerabilities. The book also presents other topics such as cryptographic information protection and Shannon’s theory of secret systems, alongside solutions arising from optimization, game theory and machine learning approaches. Featuring research from international collaborations, this book covers both theory and applications, offering vital insights for advanced risk management curricula. It is intended not only for researchers, but also educators and professionals in infrastructure protection and stochastic optimization.
Stochastic Modelling of Big Data in Finance (Chapman and Hall/CRC Financial Mathematics Series)
by Anatoliy SwishchukStochastic Modelling of Big Data in Finance provides a rigorous overview and exploration of sto- chastic modelling of big data in finance (BDF). The book describes various stochastic models, including multivariate models, to deal with big data in finance. This includes data in high-frequency and algorithmic trading, specifically in limit order books (LOB), and shows how those models can be applied to different datasets to describe the dynamics of LOB, and to figure out which model is the best with respect to a specific data set. The results of the book may be used to also solve acquisition, liquidation and market making problems, and other optimization problems in finance.Features• Self-contained book suitable for graduate students and post-doctoral fellows in financial math- ematics and data science, as well as for practitioners working in the financial industry who deal with big data• All results are presented visually to aid in understanding of concepts Dr. Anatoliy Swishchuk is a Professor in Mathematical Finance at the Department of Mathematics and Statistics, University of Calgary, Calgary, AB, Canada. He got his B.Sc. and M.Sc. degrees from Kyiv State University, Kyiv, Ukraine. He earned two doctorate degrees in Mathematics and Physics (PhD and DSc) from the prestigious National Academy of Sciences of Ukraine (NASU), Kiev, Ukraine, and is a recipient of NASU award for young scientist with a gold medal for series of research publica- tions in random evolutions and their applications.Dr. Swishchuk is a chair and organizer of finance and energy finance seminar ‘Lunch at the Lab’ at the Department of Mathematics and Statistics. Dr. Swishchuk is a Director of Mathematical and Compu- tational Finance Laboratory at the University of Calgary. He was a steering committee member of the Professional Risk Managers International Association (PRMIA), Canada (2006-2015), and is a steer- ing committee member of Global Association of Risk Professionals (GARP), Canada (since 2015).Dr. Swishchuk is a creator of mathematical finance program at the Department of Mathematics & Sta- tistics. He is also a proponent for a new specialization “Financial and Energy Markets Data Modelling” in the Data Science and Analytics program. His research areas include financial mathematics, ran- dom evolutions and their applications, biomathematics, stochastic calculus, and he serves on editorial boards for four research journals. He is the author of more than 200 publications, including 15 books and more than 150 articles in peer-reviewed journals. In 2018 he received a Peak Scholar award.
Stochastic Models for Fault Tolerance
by Katinka WolterAs modern society relies on the fault-free operation of complex computing systems, system fault-tolerance has become an indispensable requirement. Therefore, we need mechanisms that guarantee correct service in cases where system components fail, be they software or hardware elements. Redundancy patterns are commonly used, for either redundancy in space or redundancy in time. Wolter's book details methods of redundancy in time that need to be issued at the right moment. In particular, she addresses the so-called "timeout selection problem", i.e., the question of choosing the right time for different fault-tolerance mechanisms like restart, rejuvenation and checkpointing. Restart indicates the pure system restart, rejuvenation denotes the restart of the operating environment of a task, and checkpointing includes saving the system state periodically and reinitializing the system at the most recent checkpoint upon failure of the system. Her presentation includes a brief introduction to the methods, their detailed stochastic description, and also aspects of their efficient implementation in real-world systems. The book is targeted at researchers and graduate students in system dependability, stochastic modeling and software reliability. Readers will find here an up-to-date overview of the key theoretical results, making this the only comprehensive text on stochastic models for restart-related problems.
Stochastic Models in Reliability, Network Security and System Safety: Essays Dedicated to Professor Jinhua Cao on the Occasion of His 80th Birthday (Communications in Computer and Information Science #1102)
by Quan-Lin Li Jinting Wang Hai-Bo YuThis book is dedicated to Jinhua Cao on the occasion of his 80th birthday. Jinhua Cao is one of the most famous reliability theorists. His main contributions include: published over 100 influential scientific papers; published an interesting reliability book in Chinese in 1986, which has greatly influenced the reliability of education, academic research and engineering applications in China; initiated and organized Reliability Professional Society of China (the first part of Operations Research Society of China) since 1981. The high admiration that Professor Cao enjoys in the reliability community all over the world was witnessed by the enthusiastic response of each contributor in this book. The contributors are leading researchers with diverse research perspectives. The research areas of the book iclude a broad range of topics related to reliability models, queueing theory, manufacturing systems, supply chain finance, risk management, Markov decision processes, blockchain and so forth.The book consists of a brief Preface describing the main achievements of Professor Cao; followed by congratulations from Professors Way Kuo and Wei Wayne Li, and by Operations Research Society of China, and Reliability Professional Society of China; and further followed by 25 articles roughly grouped together. Most of the articles are written in a style understandable to a wide audience. This book is useful to anyone interested in recent developments in reliability, network security, system safety, and their stochastic modeling and analysis.