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Author by : Tim Kreider Languange Used : en Release Date : 2012-06-12 Publisher by : Simon and Schuster ISBN : 9781439198728 File Size : 55,6 Mb Total Download : 986
“Kreider locates the right simile and the pith of situations as he carefully catalogues humanity’s inventive and manifold ways of failing” (Publishers Weekly, starred review). In We Learn Nothing, satirical cartoonist Tim Kreider turns his funny, brutally honest eye to the dark truths of the human condition, asking big questions about human-sized problems: What if you survive a brush with death and it doesn’t change you? Why do we fall in love with people we don’t even like? How do you react when someone you’ve known for years unexpectedly changes genders? With a perfect combinatio
Author by : Tim Kreider Languange Used : en Release Date : 2019-02-12 Publisher by : Simon & Schuster ISBN : 9781476739014 File Size : 49,8 Mb Total Download : 720
*A People Top 10 Book of 2018* The New York Times essayist and author of We Learn Nothing, Tim Kreider trains his singular power of observation on his (often befuddling) relationships with women. Psychologists have told him he’s a psychologist. Philosophers have told him he’s a philosopher. Religious groups have invited him to speak. He had a cult following as a cartoonist. But, above all else, Tim Kreider is an essayist—one whose deft prose, uncanny observations, dark humor, and emotional vulnerability have earned him deserved comparisons to David Sedaris, Sarah Vowell, and the late Dav
Author by : M. Kárny Languange Used : en Release Date : 2012-12-06 Publisher by : Springer Science & Business Media ISBN : 9781461529682 File Size : 45,7 Mb Total Download : 495
Recent rapid developments in computing power, such as parallel processing and neural networks, have stimulated new trends in control. However a discrepancy exists between available computing power and exploitable algorithms obtained classically from control theory. The aim of this book is to address the discrepancy from both the com putational power and control theory viewpoints. Areas such as identification, adaptive control, signal processing and neural networks therefore hold a prominent position in the text presented. The form of the book is such that it should be useful for readers at var