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Umbrella in the Sun

Author: Harshit Goel
Publisher:
ISBN: 9781956528060
Category :
Languages : en
Pages :

Book Description

Brolliology

Author: Marion Rankine
Publisher: Melville House
ISBN: 1612196705
Category : History
Languages : en
Pages : 193

Book Description
A fun, illustrated history of the umbrella's surprising place in life and literature Humans have been making, using, perfecting, and decorating umbrellas for millennia--holding them over the heads of rulers, signalling class distinctions, and exploring their full imaginative potential in folk tales and novels. In the spirit of the best literary gift books, Brolliology is a beautifully designed and illustrated tour through literature and history. It surprises us with the crucial role that the oft-overlooked umbrella has played over centuries--and not just in keeping us dry. Marion Rankine elevates umbrellas to their rightful place as an object worthy of philosophical inquiry. As Rankine points out, many others have tried. Derrida sought to find the meaning (or lack thereof) behind an umbrella mentioned in Nietzsche's notes, Robert Louis Stevenson wrote essays on the handy object, and Dickens used umbrellas as a narrative device for just about everything. She tackles the gender, class, and social connotations of carrying an umbrella and helps us realize our deep connection to this most forgettable everyday object--which we only think of when we don't have one.

Robinson Crusoe

Author: Daniel Defoe
Publisher:
ISBN:
Category : Adventure and adventurers
Languages : en
Pages : 204

Book Description
An adaptation of the story of Robinson Crusoe who was shipwrecked on an island, how he survived and was finally rescued. Rewritten "in words easy for every child, ... shortened by leaving out all the dull parts."

The Ultimate Hiker's Gear Guide, Second Edition

Author: Andrew Skurka
Publisher: National Geographic Books
ISBN: 142621796X
Category : Sports & Recreation
Languages : en
Pages : 244

Book Description
Whether you're a first-time backpacker, an occasional weekend warrior, or a seasoned long-distance trekker, this guide is a must for any backpacking, hiking, or camping trip. Supreme long-distance hiker Andrew Skurka—accomplished adventure athlete, speaker, guide, and writer—shares his knowledge in this essential guide to backpacking gear and skills. Skurka recounts what he's learned from more than 30,000 miles of long-distance hikes, including the Appalachian, Pacific Crest, and Continental Divide Trails, and the 4,700-mile Alaska-Yukon Expedition. A show-and-tell guide to clothing, footwear, backpacks, shelter and sleep systems, camp stoves, and more, as well as tips on foot care, campsite selection, and hiking efficiency, this single book contains all the knowledge you'll need to hit the trail. This second edition features 16 new pages (including food on the trail and other essentials), and updates all gear recommendations.

Algorithms for Decision Making

Author: Mykel J. Kochenderfer
Publisher: MIT Press
ISBN: 0262370239
Category : Computers
Languages : en
Pages : 701

Book Description
A broad introduction to algorithms for decision making under uncertainty, introducing the underlying mathematical problem formulations and the algorithms for solving them. Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them. The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. The book focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented.