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 Free Download Battle Surface!: Lawson P. "Red" Ramage and the War Patrols of the USS Parche by Stephen L. Moore English | May 15, 2011 | ISBN: 1591145325 | 360 pages | EPUB | 5.17 Mb Cmdr. Lawson Paterson "Red" Ramage was among an elite group of just seven U.S. submariners who were awarded the Medal of Honor during World War II and the first not to die in the course of his heroic exploits. He was honored for his actions in the Pacific on the night of 31 July 1944 when he kept his submarine, USS Parche, on the surface and defiantly charged into the midst of a large Japanese convoy. Ramage's close-in, furious surface rampage became the talk of the submarine force, both in terms of its boldness and its destruction of the enemy shipping. Remarkably, Parche's crew had managed to reload their torpedo tubes while their skipper twisted and turned the boat through the chaos of machine gun bullets, exploding heavy shells, and Japanese ships trying to ram them. To tell Parche's dramatic story, author Stephen Moore draws on recently discovered wartime diaries and interviews with dozens of veterans, who add rich details to the official record. Readers learn what it was like on patrol in the Pacific to endure the terrors of torpedo attacks and depth charges, as well as learn how they relieved the stress of combat on liberty. The only book to focus exclusively on Parche and the incredible "Red" Ramage, it offers a rare, up-close look at the actions of the legendary World War II submarine, whose conning tower and periscopes are on permanent display in Pearl Harbor.  Free Download Basic System Analysis English | 2023 | ISBN: 3031282795 | 705 Pages | PDF EPUB (True) | 59 MB The book provides a comprehensive introduction to all major topics in Basic System Analysis. The book is designed to serve as a textbook for courses offered to undergraduate students enrolled in electrical, electronics, and communication engineering disciplines. It provides a clear and comprehensive treatment of continuous-time signals and systems with numerical examples; discusses the Fourier series and Fourier transform at length with numerical examples; includes an extensive application of the Laplace transform method of analysis of the linear time-invariant system, etc. The text is augmented with many illustrative examples for easy understanding of the topics covered. Every chapter contains several numerical problems with answers followed by question-and-answer type assignments. The detailed coverage and pedagogical tools make this an ideal textbook for students and researchers enrolled in electrical engineering and related programs.
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 Free Download Advances in Minimum Description Length: Theory and Applications (Neural Information Processing series) by Peter D. Grunwald, In Jae Myung, Mark A. Pitt English | February 25, 2005 | ISBN: 0262072629 | 455 pages | PDF | 4.55 Mb The process of inductive inference - to infer general laws and principles from particular instances - is the basis of statistical modeling, pattern recognition, and machine learning. The Minimum Descriptive Length (MDL) principle, a powerful method of inductive inference, holds that the best explanation, given a limited set of observed data, is the one that permits the greatest compression of the data - that the more we are able to compress the data, the more we learn about the regularities underlying the data. Advances in Minimum Description Length is a sourcebook that will introduce the scientific community to the foundations of MDL, recent theoretical advances, and practical applications.The book begins with an extensive tutorial on MDL, covering its theoretical underpinnings, practical implications as well as its various interpretations, and its underlying philosophy. The tutorial includes a brief history of MDL - from its roots in the notion of Kolmogorov complexity to the beginning of MDL proper. The book then presents recent theoretical advances, introducing modern MDL methods in a way that is accessible to readers from many different scientific fields. The book concludes with examples of how to apply MDL in research settings that range from bioinformatics and machine learning to psychology. |
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