{"title":"Charles Byrne","description":"\u003cp\u003eDelve into the gritty world of Charles Byrne, where police procedurals meet psychological suspense. Perfect for fans of Ian Rankin and Peter James, discover gripping mysteries with a dark, authentic edge.\u003c\/p\u003e","products":[{"product_id":"lunar-orbiter-photographic-atlas-of-the-near-side-of-the-moon-book-charles-byrne-9781852338862","title":"Lunar Orbiter Photographic Atlas of the Near Side of the Moon","description":"In 1967, Lunar Orbiter Mission 4 sent back to Earth a superb series of photographs of the surface of the Moon, despite severe degradation caused by scanning artifacts and the reconstruction processes involved in transmission from lunar orbit.    Using 21st century techniques, Charles Byrne – previously System Engineer of the Apollo Program for Lunar Orbiter Photography – has removed the artifacts and imperfections to produce the most comprehensive and beautifully detailed set of images of the lunar surface.    The book has been organized to make it easy for astronomers to use, enabling ground-based images and views to be compared with the Orbiter photograph. All features have been identified with their current IAU-approved names, and each photograph has been located in terms of latitude and longitude. 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It incorporates recent work that has not appeared in other books and draws on the author’s considerable research in the field, including his recently developed class of SUMMA algorithms. Related to sequential unconstrained minimization methods, the SUMMA class includes a wide range of iterative algorithms well known to researchers in various areas, such as statistics and image processing.   Organizing the topics from general to more specific, the book first gives an overview of sequential optimization, the subclasses of auxiliary-function methods, and the SUMMA algorithms. The next three chapters present particular examples in more detail, including barrier- and penalty-function methods, proximal minimization, and forward-backward splitting. The author also focuses on fixed-point algorithms for operators on Euclidean space and then extends the discussion to include distance measures other than the usual Euclidean distance. In the final chapters, specific problems illustrate the use of iterative methods previously discussed. Most chapters contain exercises that introduce new ideas and make the book suitable for self-study.  Unifying a variety of seemingly disparate algorithms, the book shows how to derive new properties of algorithms by comparing known properties of other algorithms. 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