From frontier to empire, a dynasty of Texas cattlemen clashes with history.
Kings of Texas is the sprawling saga of the larger-than-life characters who founded, built, and expanded the most famous cattle ranch in American history. Renowned Texas scholar, writer, and storyteller Don Graham weaves a compelling multigenerational family drama into the complex social history of South Texas.Follow the Kings through generations of conflict, from the Mexican War to the Civil War, and beyond. Witness their rise from humble beginnings to the pinnacle of ranching power, facing off against rival ranchers, border bandits, and the changing tides of society. From humble frontier jacales to the sleek offices of a multinational corporation, Kings of Texas tells an unforgettable story of vision, violence, greed, loyalty, and betrayal, set on a stage as vast as the American dream.
From frontier to empire, a dynasty of Texas cattlemen clashes with history.
Kings of Texas is the sprawling saga of the larger-than-life characters who founded, built, and expanded the most famous cattle ranch in American history. Renowned Texas scholar, writer, and storyteller Don Graham weaves a compelling multigenerational family drama into the complex social history of South Texas.Follow the Kings through generations of conflict, from the Mexican War to the Civil War, and beyond. Witness their rise from humble beginnings to the pinnacle of ranching power, facing off against rival ranchers, border bandits, and the changing tides of society. From humble frontier jacales to the sleek offices of a multinational corporation, Kings of Texas tells an unforgettable story of vision, violence, greed, loyalty, and betrayal, set on a stage as vast as the American dream.
Don Graham's Giant is a larger-than-life narrative of the making of the classic film, marking the rise of America as a superpower, the ascent of Hollywood celebrity, and the flowering of Texas culture as mythology.
Featuring James Dean, Rock Hudson, and Elizabeth Taylor, Giant is an epic film of fame and materialism, based around the discovery of oil at Spindletop and the establishment of the King Ranch of south Texas. Isolating his star cast in the wilds of West Texas, director George Stevens brought together a volatile mix of egos, insecurities, sexual proclivities, and talent. Stevens knew he was overwhelmed with Hudson's promiscuity, Taylor's high diva-dom, and Dean's egotistical eccentricity. Yet he coaxed performances out of them that made cinematic history, winning Stevens the Academy Award for Best Director and garnering nine other nominations, including a nomination for Best Actor for James Dean, who died before the film was finished. In this compelling and impeccably researched narrative history of the making of the film, Don Graham chronicles the stories of Stevens, whose trauma in World War II intensified his ambition to make films that would tell the story of America; Edna Ferber, a considerable literary celebrity, who meets her match in the imposing Robert Kleberg, proprietor of the vast King Ranch; and Glenn McCarthy, an American oil tycoon; and Errol Flynn lookalike with a taste for Hollywood. Drawing on archival sources Graham's Giant is a comprehensive depiction of the film's production showing readers how reality became fiction and fiction became cinema.Ultimately, he reports for induction as ordered. Before he leaves for Vietnam a gifted intuitive gives him hope for a safe return; while there, another unexpected message foretells an imminent release from warfare. How can this be?
Coming Home Whole is a firsthand look at the Vietnam War era, the conflicts that helped shape it at home and abroad, and the experiences of one man caught amid its contradictions. It is at once a wry, warm and wise coming-of-age story...a celebration of the two remarkable women at the heart of a young man's life...and a meditation on the way that unseen forces take us in directions we could never have imagined, in ways we can hardly believe.
These Texas stories are among the best produced by the state's writers in the mid-twentieth century. Selected above all for their artistic excellence and their narrative mastery, they also present a vital picture of the Southwest in microcosm, as revealed in its largest state.
Texas and Texas writing moved from a Southern orientation in the 1940s--reflected here in works by William Goyen, William Humphrey, and others--to the strong Southwestern flavor of stories by such authors as Larry McMurtry and A. C. Greene to, finally, urban or Sunbelt Texas, mirrored in the edgy, sometimes experimental prose of Doug Crowell, William Harrison, and Peter LaSalle.
Here are stories by such celebrated authors as Paul Horgan and William A. Owens, as well as startling, in some cases previously unpublished work by writers like Harryette Mullen, Naomi Shihab Nye, Pat Ellis Taylor, and Thomas Zigal. A few stories may already be favorites--Larry McMurtry's There Will Be Peace in Korea, Amado Muro's Cecilia Rosas. Many others have become classics, such as Vassar Miller's poignantly autobiographical Pact, Hughes Rudd's hilarious record of grade school fieldtrips, R. E. Smith's gripping story of a Houstonian's life-changing encounter with nature, and Dave Hickey's astonishing account of an old cowboy's imprisonment . . . in a bathtub.
Bill Brett, James Crumley, Linda West Eckhardt, Robert Flynn, Mary Gray Hughes, Carolyn Osborn--all are represented here by stories guaranteed to banish stereotypes and boredom and to enlarge one's vision of the Lone Star State. Anyone who thinks that oil wells and big hair define Texas will find out differently in the dazzling short fiction presented in South by Southwest.
Road congestion imposes major financial, social, and environmental costs. One solution is the operation of high-occupancy toll (HOT) lanes. This book outlines a method for dynamic pricing for HOT lanes based on non-linear programming (NLP) techniques, finite difference stochastic approximation, genetic algorithms, and simulated annealing stochastic algorithms, working within a cell transmission framework. The result is a solution for optimal flow and optimal toll to minimize total travel time and reduce congestion.
ANOVA results are presented which show differences in the performance of the NLP algorithms in solving this problem and reducing travel time, and econometric forecasting methods utilizing vector autoregressive techniques are shown to successfully forecast demand.
Applications of Heuristic Algorithms to Optimal Road Congestion Pricing is ideal for transportation practitioners and researchers.
This book addresses the use of existing and emerging electronic payment technologies within a smart city in the context of the clear and proven value these systems have demonstrated in improving transportation. It addresses such question as How does the toll gantry work? How does it read the transponder tag and deduct the correct amount? How do cities harness the transaction data from mass transit to better meet the demand during peak hours? What can city planners do to make trip scheduling and payments seamless, so commuters can go from park-and-ride to mass transit to ride-share with a single payment platform? The volume is technical in nature and describes solid technical solutions to engineers and planners associated with smart cities initiatives. It is specifically designed to support smart city designers and engineers as they develop strategies that incorporate the latest payment system technologies. It will also be of value to private sector payment systems solution providers looking to deliver their products and services to smart cities. In addition, the book supplements technical perspectives with guidance on planning and implementation. For example, it defines procurement approaches for emerging technologies such as crypto currencies and block chain. Rounding out technical detail with advice on policy and the organizational framework required to underpin the technologies, the book delivers practical support to smart city technical practitioners. It further stands as an appropriate text for university courses associated with smart city planning, operations, and urban analytics.
This book explores these questions and provides answers that a typical transportation planner can follow. It covers technology topics such as RFID (Radio Frequency ID), ETC (Electronic Toll collection), and ANPR (Automatic Number Plate Recognition). The book also delves into how contactless payment (Near-Field) technologies can be used in a smart city. Blockchain is introduced as a platform that is suitable for solving the problem of payment segregation and shows how the entities in a smart city can work together to provide a seamless payment solution for riders across different modes of transport.
The book also covers some theoretical concepts of congestion pricing which students at the university level can apply to city planning projects and research into smart cities.
Several examples of US-based and international smart city implementations are provided in the closing chapters which demonstrate new, innovative smart city techniques for the transportation planner.
This book addresses the use of existing and emerging electronic payment technologies within a smart city in the context of the clear and proven value these systems have demonstrated in improving transportation. It addresses such question as How does the toll gantry work? How does it read the transponder tag and deduct the correct amount? How do cities harness the transaction data from mass transit to better meet the demand during peak hours? What can city planners do to make trip scheduling and payments seamless, so commuters can go from park-and-ride to mass transit to ride-share with a single payment platform? The volume is technical in nature and describes solid technical solutions to engineers and planners associated with smart cities initiatives. It is specifically designed to support smart city designers and engineers as they develop strategies that incorporate the latest payment system technologies. It will also be of value to private sector payment systems solution providers looking to deliver their products and services to smart cities. In addition, the book supplements technical perspectives with guidance on planning and implementation. For example, it defines procurement approaches for emerging technologies such as crypto currencies and block chain. Rounding out technical detail with advice on policy and the organizational framework required to underpin the technologies, the book delivers practical support to smart city technical practitioners. It further stands as an appropriate text for university courses associated with smart city planning, operations, and urban analytics.
This book explores these questions and provides answers that a typical transportation planner can follow. It covers technology topics such as RFID (Radio Frequency ID), ETC (Electronic Toll collection), and ANPR (Automatic Number Plate Recognition). The book also delves into how contactless payment (Near-Field) technologies can be used in a smart city. Blockchain is introduced as a platform that is suitable for solving the problem of payment segregation and shows how the entities in a smart city can work together to provide a seamless payment solution for riders across different modes of transport.
The book also covers some theoretical concepts of congestion pricing which students at the university level can apply to city planning projects and research into smart cities.
Several examples of US-based and international smart city implementations are provided in the closing chapters which demonstrate new, innovative smart city techniques for the transportation planner.
Road congestion imposes major financial, social, and environmental costs. One solution is the operation of high-occupancy toll (HOT) lanes. This book outlines a method for dynamic pricing for HOT lanes based on non-linear programming (NLP) techniques, finite difference stochastic approximation, genetic algorithms, and simulated annealing stochastic algorithms, working within a cell transmission framework. The result is a solution for optimal flow and optimal toll to minimize total travel time and reduce congestion.
ANOVA results are presented which show differences in the performance of the NLP algorithms in solving this problem and reducing travel time, and econometric forecasting methods utilizing vector autoregressive techniques are shown to successfully forecast demand.
Applications of Heuristic Algorithms to Optimal Road Congestion Pricing is ideal for transportation practitioners and researchers.