A deep dive into the origins of the epic, bestselling video game, in the creator's own words. The creator of one of the most innovative and bestselling video games of all time gives an unvarnished look into the creative process in this one-of-a-kind compilation. Before Prince of Persia was a best-selling video game franchise and a Disney movie, it was an Apple II computer game created and programmed by one person: Jordan Mechner. Mechner's candid and revealing journals from the time capture the journey from his parents' basement to the forefront of the fast-growing 1980s video game industry―and the creative, technical, and personal struggles that brought the Prince into being and, ultimately, into the homes of millions of people worldwide. Now, on the 30th anniversary of Prince of Persia 's release, Mechner looks back at the journals he kept from 1985 to 1993, offering new insights into the game that established him as a pioneer of cinematic storytelling in the industry. This beautifully illustrated and annotated collector's edition includes: 300 pages of Mechner's original journals Present-day margin notations by Mechner adding explanation, context, and affectionate cartoons of real-life characters Archival visuals illustrating the stages of the game's creation Work-in-progress sketches, rotoscoped animation, screenshots, interface design, memos, and more A full-color 32-page "Legacy" section in which Mechner and fans share Prince of Persia memories from the past 30 years, including the Ubisoft games and Disney movie The Making of Prince of Persia is both a tribute to a timeless classic and an indelible look at the creative process that will resonate with retro-gaming fans, game developers, and writers, artists, and creators of all stripes.

This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics, finance, marketing and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples.

Free Software, Free Society: Selected Essays of Richard M. Stallman is a book by Joshua Gay compiling different essays of Richard M. Stallman. * The intersection of ethics, law, business and computer software is the subject of these essays and speeches by MacArthur Foundation Grant winner, Richard M. Stallman. This collection includes historical writings such as The GNU Manifesto, which defined and launched the activist Free Software Movement, along with new writings on hot topics in copyright, patent law, and the controversial issue of "trusted computing." Stallman takes a critical look at common abuses of copyright law and patents when applied to computer software programs, and how these abuses damage our entire society and remove our existing freedoms. He also discusses the social aspects of software and how free software can create community and social justice. * The first edition was published 8 years ago by GNU Press under the GNU Free Documentation License. * Essays contained in this book deal mainly about ethics, law, business and their application to computer software. * The introduction is written by Lawrence Lessig, professor at Stanford University. * The book is divided into three main parts, and also includes a fourth one with GNU licenses: [1] The GNU Project and the Free Software Foundation, [2] Copyrights, Copylefts and Patents, [3] Creating a Free Society, [4] GNU Licenses. * Money raised from the sale of this book supports the development of free software and documentation.

Procedural languages are generally well understood and their formal foundations cast in the forms of various lambda-calculi. For object- oriented languages however the situation is not as clear-cut. In this book the authors propose and develop a different approach by developing object calculi in which objects are treated as primitives. Using object calculi,the authors are able to explain both the semantics of objects and their typing rules and demonstrate how to develop all of the most important concepts of object-oriented programming languages: self, dynamic dispatch, classes, inheritance, protected and private methods, prototyping, subtyping, covariance and contravariance, and method specialization. Many researchers and graduate students will find this an important development of the underpinnings of object-oriented programming.

The starting point of this volume was a conference entitled "Progress in Mathematical Programming," held at the Asilomar Conference Center in Pacific Grove, California, March 1-4, 1987. The main topic of the conference was developments in the theory and practice of linear programming since Karmarkar's algorithm. There were thirty presentations and approximately fifty people attended. Presentations included new algorithms, new analyses of algorithms, reports on computational experience, and some other topics related to the practice of mathematical programming. Interestingly, most of the progress reported at the conference was on the theoretical side. Several new polynomial algorithms for linear program- ming were presented (Barnes-Chopra-Jensen, Goldfarb-Mehrotra, Gonzaga, Kojima-Mizuno-Yoshise, Renegar, Todd, Vaidya, and Ye). Other algorithms presented were by Betke-Gritzmann, Blum, Gill-Murray-Saunders-Wright, Nazareth, Vial, and Zikan-Cottle. Efforts in the theoretical analysis of algo- rithms were also reported (Anstreicher, Bayer-Lagarias, Imai, Lagarias, Megiddo-Shub, Lagarias, Smale, and Vanderbei). Computational experiences were reported by Lustig, Tomlin, Todd, Tone, Ye, and Zikan-Cottle. Of special interest, although not in the main direction discussed at the conference, was the report by Rinaldi on the practical solution of some large traveling salesman problems. At the time of the conference, it was still not clear whether the new algorithms developed since Karmarkar's algorithm would replace the simplex method in practice. Alan Hoffman presented results on conditions under which linear programming problems can be solved by greedy algorithms.

This book is about computational methods based on operator splitting. It consists of twenty-three chapters written by recognized splitting method contributors and practitioners, and covers a vast spectrum of topics and application areas, including computational mechanics, computational physics, image processing, wireless communication, nonlinear optics, and finance. Therefore, the book presents very versatile aspects of splitting methods and their applications, motivating the cross-fertilization of ideas.