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WINNER OF THE BOARDMAN TASKER PRIZE 2008 Metro magazine recently wrote that Andy Kirkpatrick makes Ray Mears look like Paris Hilton. Words like boldness, adventure and risk were surely coined especially for him. As one of the world's most accomplished mountaineers and big-wall climbers, he goes vertically where other climbers (to say nothing of the general public) fear to tread. For the first time, this cult hero of vertical rock has written a book, in which his thirteen-day ascent of Reticent Wall on El Capitan in California - the hardest big-wall climb ever soloed by a Briton - frames a challenging autobiography. From childhood on a grim inner-city housing estate in Hull, the story moves through horrific encounters and unique athletic achievements at the extremes of the earth. As he writes, 'Climbs like this make no sense ... the chances of dying on the route are high.' Yet Andy, in his thirties with young children, has everything to live for. This is the paradox at the heart of the story. This book - by turns gut-wrenching, entertaining and challenging - appeals to the adventurer in all of us.
American Night, the final volume of an unprecedented trilogy, brings Alan Wald's multigenerational history of Communist writers to a poignant climax. Using new research to explore the intimate lives of novelists, poets, and critics during the Cold War, Wa
This is the definitive history of thoroughbred racing's three premier events, which have never before been explored in such detail. This book gives the history of America's classic races from the inaugural Belmont Stakes in 1867 through 2013, identifying which equine participants were truly worthy of lasting acclaim and which were one-hit wonders. Perhaps even more compelling are the stories of the men and women who rode, trained, owned, or bred classic winners, including their exploits on the turf and their triumphs and failures in arenas far removed from horse racing.
The London-based Ready, Steady, Go! began broadcasting in August of 1963 and, within a matter of weeks, became an essential television ritual for the newly confident British teenager. It set trends and became the barometer for popular culture by attracting and presenting anyone who was anyone in popular music: The Beatles, The Rolling Stones, The Who, The Kinks, The Animals, Marvin Gaye, The Supremes, Otis Redding, and many more. RSG! also provided the first small screen exposure for then-unknowns such as Rod Stewart, Marc Bolan, David Bowie, Donovan, and Jimi Hendrix. Ready, Steady, Go! ran for three and a half years, setting a blueprint for music presentation and production on television t...
The second volume will deal with a presentation of the main matrix and tensor decompositions and their properties of uniqueness, as well as very useful tensor networks for the analysis of massive data. Parametric estimation algorithms will be presented for the identification of the main tensor decompositions. After a brief historical review of the compressed sampling methods, an overview of the main methods of retrieving matrices and tensors with missing data will be performed under the low rank hypothesis. Illustrative examples will be provided.
This thesis develops several systematic and unified approaches for analyzing dynamic systems with positive characteristics or a more general cone invariance property. Based on these analysis results, it uses linear programming tools to address static output feedback synthesis problems with a focus on optimal gain performances. Owing to their low computational complexity, the established controller design algorithms are applicable for large-scale systems. The theory and control strategies developed will not only be useful in handling large-scale positive delay systems with improved solvability and at lower cost, but also further our understanding of the system characteristics in other related areas, such as distributed coordination of networked multi-agent systems, formation control of multiple robots.
This book presents insights into the thermal performance of solar thermal collectors using both computational and experimental modeling. It consists of various computational and experimental case studies conducted by the authors on the solar thermal collector system. The authors begin by developing thermal modeling using a case study that shows the effect of different governing parameters. A few more experimental cases studies follow that highlight the energy, exergy, and environmental performance of the solar thermal collector system and to examine the performance of a modified solar collector system, illustrating performance improvement techniques. Finally, application of different evolutionary optimization techniques such as soft computing and evolutionary methods, like fuzzy techniques, MCDM methods like fuzzy logic based expert system (FLDS), Artificial Neural Network (ANN), Grey relational analysis (GRA), Entropy-Jaya algorithm, Entropy-VIKOR etc. are employed.
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