“Wow! Shades of Fahrenheit 451 and Orwell’s 1984. Painfully real and urgent. Read this book.” —Michael Grant, New York Times bestselling author of the Gone series Bestselling author Joelle Charbonneau’s eerily timely, high-stakes page-turner is destined to start important conversations at this particular moment in our history. Meri Beckley lives in a world without lies. When she looks at the peaceful Chicago streets, she feels pride in the era of unprecedented hope and prosperity over which the governor presides. But when Meri’s mother is killed, Meri suddenly has questions that no one else seems to be asking. And when she tries to uncover her mother’s state of mind in her last weeks, she finds herself drawn into a secret world with a history she didn’t know existed. Suddenly, Meri is faced with a choice between accepting the “truth” or embracing a world the government doesn’t want anyone to see—a world where words have the power to change the course of a country and where the wrong ones can get Meri killed.

Trust, but Verify uses trust—with its emotional and predictive aspects—to explore international relations in the second half of the Cold War, beginning with the late 1960s. The détente of the 1970s led to the development of some limited trust between the United States and the Soviet Union, which lessened international tensions and enabled advances in areas such as arms control. However, it also created uncertainty in other areas, especially on the part of smaller states that depended on their alliance leaders for protection. The contributors to this volume look at how the "emotional" side of the conflict affected the dynamics of various Cold War relations: between the superpowers, within the two ideological blocs, and inside individual countries on the margins of the East–West confrontation.

Advances in scientific computing have made modelling and simulation an important part of the decision-making process in engineering, science, and public policy. This book provides a comprehensive and systematic development of the basic concepts, principles, and procedures for verification and validation of models and simulations. The emphasis is placed on models that are described by partial differential and integral equations and the simulations that result from their numerical solution. The methods described can be applied to a wide range of technical fields, from the physical sciences, engineering and technology and industry, through to environmental regulations and safety, product and plant safety, financial investing, and governmental regulations. This book will be genuinely welcomed by researchers, practitioners, and decision makers in a broad range of fields, who seek to improve the credibility and reliability of simulation results. It will also be appropriate either for university courses or for independent study.

"Bodman's hard-won information and sheer storytelling talent make this a book to remember.” —LEE CHILD, #1 worldwide bestselling author of the Jack Reacher series "Karna Bodman’s Trust But Verify is a riveting page-turner you won’t want to put down!" - CARLA NEGGERS, bestselling author of Imposter's Lure Samantha Reid, the brilliant Director of the White House Office of Homeland Security, is enjoying a rare evening away from Washington at a Florida charity ball when a bomb sends the well-heeled attendees stampeding into the night. Narrowly escaping the blast, Reid returns to the White House, where she has been trailing the massacres and illicit arms sales of a shadowy group of Russian oligarchs... all of whom want her dead. Caught in an ever-tightening spiral of lies and ruthless hitmen, Reid must race the clock against her assassins. But she's not alone. When FBI special agent Brett Keating discovers Samantha was the target of the Florida bomb, he resolves to protect her, while also unravelling a brazen plot that threatens the lives of international financial leaders and stock markets worldwide.

This handy reference introduces the subject of forecastverification and provides a review of the basic concepts,discussing different types of data that may be forecast. Each chapter covers a different type of predicted quantity(predictand), then looks at some of the relationships betweeneconomic value and skill scores, before moving on to review the keyconcepts and summarise aspects of forecast verification thatreceive the most attention in other disciplines. The book concludes with a discussion on the most importanttopics in the field that are the subject of current research orthat would benefit from future research. An easy to read guide of current techniques with real life casestudies An up-to-date and practical introduction to the differenttechniques and an examination of their strengths andweaknesses Practical advice given by some of the world?s leadingforecasting experts Case studies and illustrations of actual verification and itsinterpretation Comprehensive glossary and consistent statistical andmathematical definition of commonly used terms

An essential introduction to the analysis and verification of control system software The verification of control system software is critical to a host of technologies and industries, from aeronautics and medical technology to the cars we drive. The failure of controller software can cost people their lives. In this authoritative and accessible book, Pierre-Loïc Garoche provides control engineers and computer scientists with an indispensable introduction to the formal techniques for analyzing and verifying this important class of software. Too often, control engineers are unaware of the issues surrounding the verification of software, while computer scientists tend to be unfamiliar with the specificities of controller software. Garoche provides a unified approach that is geared to graduate students in both fields, covering formal verification methods as well as the design and verification of controllers. He presents a wealth of new verification techniques for performing exhaustive analysis of controller software. These include new means to compute nonlinear invariants, the use of convex optimization tools, and methods for dealing with numerical imprecisions such as floating point computations occurring in the analyzed software. As the autonomy of critical systems continues to increase—as evidenced by autonomous cars, drones, and satellites and landers—the numerical functions in these systems are growing ever more advanced. The techniques presented here are essential to support the formal analysis of the controller software being used in these new and emerging technologies.