Running The Table

For fans of Bringing Down the House and Positively Fifth—a Sports Illustrated writer shares the story of a heavyset, bipolar, and charming pool hustler. In most sports the pinnacle is Wheaties-box notoriety. But in the world of pool, notoriety is the last thing a hustler desires. Such is the dilemma that faces one Danny Basavich, an affable, generously proportioned Jewish kid from Jersey, who flounders through high school until he discovers the one thing he excels at—the felt—and hits the road. Running the Table spins the outrageous tale of Kid Delicious and his studly—if less talented—set-up man, Bristol Bob. Never was there a more entertaining or mismatched pair of sidekicks, as together they go underground into the flavorfully seamy world of pool to learn the art of the hustle and experience the highs and lows of life on the road. Their four-year odyssey takes them from Podunk pool halls to slick urban billiard rooms across America, as they manage one night to take down as much as $30,000, only to lose so much the next night that they lack gas money to get home. With every stop, the action gets hotter, the calls get closer, and Delicious’s prowess with a cue stick becomes known more and more widely. Ultimately, Delicious sheds his cover once and for all and becomes professional pool’s biggest sensation since Minnesota Fats. “A tremendously satisfying road story. What makes Running the Table so special is not the pool prowess of its protagonist but the unlikely bond between two wildly different young men who find each other through an exhilarating, often infuriating game.”—Los Angeles Times

“The best running book ever.” —Bob Anderson, founder of Runner’s World Whether you’re a miler or an ultramarathoner, if you want a fit, fast, and injury-resistant running body, there’s a better way to train than relentlessly pursuing mileage. This easy-to-use workout manual draws on the latest research in running physiology to target all the components that go into every stride—including muscles, connective tissue, cardiovascular fitness, energy production, the nervous system, hormones, and the brain. With the breakthrough whole-body training program in Build Your Running Body, runners will improve their times, run longer and more comfortably, and reduce injury. With more than 150 workouts—from weightlifting and cross-training to resistance exercises and plyometrics—fine-tuned to individual skill levels and performance goals, PLUS: • 393 photos that make it easy to follow every step of every workout • 10 training programs to help runners of all levels integrate the total-body plan into their daily routines • Interviews with leading runners, exercise scientists, and coaches—learn how elite runners train today • Race strategy for the crucial weeks leading up to the competition and through to the finish line • Exercises to prevent injury and rehabilitate common running ailments • Seasoned insight on barefoot running, the pros and cons of stretching, and other hot-button topics • Nutrition guidance on carbs, proteins, fats, and weight loss • More than 30 recipes to speed recovery and cement fitness gains • Beginners’ guidelines every step of the way • Valuable tips on proper apparel, tracking your progress, and more!

Consider the problem of a robot (algorithm, learning mechanism) moving along the real line attempting to locate a particular point ? . To assist the me- anism, we assume that it can communicate with an Environment (“Oracle”) which guides it with information regarding the direction in which it should go. If the Environment is deterministic the problem is the “Deterministic Point - cation Problem” which has been studied rather thoroughly [1]. In its pioneering version [1] the problem was presented in the setting that the Environment could charge the robot a cost which was proportional to the distance it was from the point sought for. The question of having multiple communicating robots locate a point on the line has also been studied [1, 2]. In the stochastic version of this problem, we consider the scenario when the learning mechanism attempts to locate a point in an interval with stochastic (i. e. , possibly erroneous) instead of deterministic responses from the environment. Thus when it should really be moving to the “right” it may be advised to move to the “left” and vice versa. Apart from the problem being of importance in its own right, the stoch- tic pointlocationproblemalsohas potentialapplications insolvingoptimization problems. Inmanyoptimizationsolutions–forexampleinimageprocessing,p- tern recognition and neural computing [5, 9, 11, 12, 14, 16, 19], the algorithm worksits wayfromits currentsolutionto the optimalsolutionbasedoninfor- tion that it currentlyhas. A crucialquestionis oneof determining the parameter whichtheoptimizationalgorithmshoulduse.

The book will focus on exploiting state of the art research in semantic web and web science. The rapidly evolving world-wide-web has led to revolutionary changes in the whole of society. The research and development of the semantic web covers a number of global standards of the web and cutting edge technologies, such as: linked data, social semantic web, semantic web search, smart data integration, semantic web mining and web scale computing. These proceedings are from the 6th Chinese Semantics Web Symposium.

This book constitutes the refereed proceedings of the Third International Workshop on Algorithms in Bioinformatics, WABI 2003, held in Budapest, Hungary, in September 2003. The 36 revised full papers presented were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on comparative genomics, database searching, gene finding and expression, genome mapping, pattern and motif discovery, phylogenetic analysis, polymorphism, protein structure, sequence alignment, and string algorithms.