This book features a selection of DVD and Blu-ray disc covers, supplemental art, and never-before-seen sketches and concept art commissioned for Criterion releases, plus a gallery of every Criterion DVD and Blu-ray disc cover since the collection's first laserdisc thirty years ago.

Selected by CHOICE as an Outstanding Academic Book for 1995,

Criterion is the world’s mightiest hero. His sidekicks just found his body. The Cadets are shattered by the death of their idol. Unable to maintain their brave and plucky façade, they are consumed by strife and jealousy. The only thing keeping them together is terror. Once protected from on high, they are now isolated and vulnerable. Can they cover up Criterion’s death and avoid a global meltdown while his murderer is still on the loose? What hope do they have against an enemy that can kill anyone? Who killed Criterion? Who will die next?

Gathers essays about modernism, Marxist criticism art patronage, Wallace Stevens, Picasso, Aaron Copland, Michel Foucault, Barbara Pym, Richard Serra, and Cindy Sherman.

This volume provides the definitive treatment of fortune's formula or the Kelly capital growth criterion as it is often called. The strategy is to maximize long run wealth of the investor by maximizing the period by period expected utility of wealth with a logarithmic utility function. Mathematical theorems show that only the log utility function maximizes asymptotic long run wealth and minimizes the expected time to arbitrary large goals. In general, the strategy is risky in the short term but as the number of bets increase, the Kelly bettor's wealth tends to be much larger than those with essentially different strategies. So most of the time, the Kelly bettor will have much more wealth than these other bettors but the Kelly strategy can lead to considerable losses a small percent of the time. There are ways to reduce this risk at the cost of lower expected final wealth using fractional Kelly strategies that blend the Kelly suggested wager with cash. The various classic reprinted papers and the new ones written specifically for this volume cover various aspects of the theory and practice of dynamic investing. Good and bad properties are discussed, as are fixed-mix and volatility induced growth strategies. The relationships with utility theory and the use of these ideas by great investors are featured.

The analysis of lunar crescent visibility criterion is vital in providing a comparative insight for predicting the visibility and suitability for Hijri calendar determination. While there have been previous attempts to measure the performance of lunar crescent visibility criterion, these attempts only apply to a singular analysis and not a comparative examination. Design, Development and Analysis of Lunar Crescent Visibility Criterion with Python explores the development of an analysis tool for lunar crescent visibility criterion using an integrated lunar crescent visibility database. The analysis tool, called HilalPy and HilalObs, was developed in the form of a Python library, so that it can be integrated into other software and webpages to enable deployment into various operating systems. This book will provide useful insights for the future development of lunar crescent visibility criterion, particularly for calendrical purposes. Key Features: ● Presents an analysis tool for lunar crescent visibility based on an integrated lunar crescent report database. ● Offers researchers and practitioners the capability to perform comparative analyses of the percentage of reliability in lunar crescent visibility criteria, thereby contributing to the construction of robust criteria for determining the Hijri calendar. ● Provides a comprehensive resource for researchers, students, policymakers, and practitioners involved in the determination of the Hijri calendar.

Adaptive filtering still receives attention in engineering as the use of the adaptive filter provides improved performance over the use of a fixed filter under the time-varying and unknown statistics environments. This application evolved communications, signal processing, seismology, mechanical design, and control engineering. The most popular optimization criterion in adaptive filtering is the well-known minimum mean square error (MMSE) criterion, which is, however, only optimal when the signals involved are Gaussian-distributed. Therefore, many "optimal solutions" under MMSE are not optimal. As an extension of the traditional MMSE, the minimum mean p-power error (MMPE) criterion has shown superior performance in many applications of adaptive filtering. This book aims to provide a comprehensive introduction of the MMPE and related adaptive filtering algorithms, which will become an important reference for researchers and practitioners in this application area. The book is geared to senior undergraduates with a basic understanding of linear algebra and statistics, graduate students, or practitioners with experience in adaptive signal processing. Key Features: Provides a systematic description of the MMPE criterion. Many adaptive filtering algorithms under MMPE, including linear and nonlinear filters, will be introduced. Extensive illustrative examples are included to demonstrate the results.

The T.S. Eliot of the 1920s was a European humanist who was part of an international network of like-minded intellectuals. Their ideas about literature, education and European culture in general remain highly relevant to the cultural debates of our day.