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Author: Stanford University Publisher: ISBN: Category : Languages : en Pages : 550
Book Description
1913/15 contains reports of chancellor and treasurer; 1919/24, reports of treasurer and comptroller; 1924- reports of treasurer, comptroller, departments, committees and the publications of the faculty.
Author: Stanford University Publisher: ISBN: Category : Languages : en Pages : 550
Book Description
1913/15 contains reports of chancellor and treasurer; 1919/24, reports of treasurer and comptroller; 1924- reports of treasurer, comptroller, departments, committees and the publications of the faculty.
Author: Stephen P. Boyd Publisher: Cambridge University Press ISBN: 9780521833783 Category : Business & Economics Languages : en Pages : 744
Book Description
Convex optimization problems arise frequently in many different fields. This book provides a comprehensive introduction to the subject, and shows in detail how such problems can be solved numerically with great efficiency. The book begins with the basic elements of convex sets and functions, and then describes various classes of convex optimization problems. Duality and approximation techniques are then covered, as are statistical estimation techniques. Various geometrical problems are then presented, and there is detailed discussion of unconstrained and constrained minimization problems, and interior-point methods. The focus of the book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.
Author: Mykel J. Kochenderfer Publisher: MIT Press ISBN: 0262331713 Category : Computers Languages : en Pages : 350
Book Description
An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance. Many important problems involve decision making under uncertainty—that is, choosing actions based on often imperfect observations, with unknown outcomes. Designers of automated decision support systems must take into account the various sources of uncertainty while balancing the multiple objectives of the system. This book provides an introduction to the challenges of decision making under uncertainty from a computational perspective. It presents both the theory behind decision making models and algorithms and a collection of example applications that range from speech recognition to aircraft collision avoidance. Focusing on two methods for designing decision agents, planning and reinforcement learning, the book covers probabilistic models, introducing Bayesian networks as a graphical model that captures probabilistic relationships between variables; utility theory as a framework for understanding optimal decision making under uncertainty; Markov decision processes as a method for modeling sequential problems; model uncertainty; state uncertainty; and cooperative decision making involving multiple interacting agents. A series of applications shows how the theoretical concepts can be applied to systems for attribute-based person search, speech applications, collision avoidance, and unmanned aircraft persistent surveillance. Decision Making Under Uncertainty unifies research from different communities using consistent notation, and is accessible to students and researchers across engineering disciplines who have some prior exposure to probability theory and calculus. It can be used as a text for advanced undergraduate and graduate students in fields including computer science, aerospace and electrical engineering, and management science. It will also be a valuable professional reference for researchers in a variety of disciplines.
Author: Stephen H. Haber Publisher: Oxford University Press ISBN: 019757615X Category : Business & Economics Languages : en Pages : 393
Book Description
This essay is the introduction to a book of the same title, forthcoming in summer of 2021 from Oxford University Press. The purpose is to document the ways in which patent systems are products of battles over the economic surplus from innovation. The features of these systems take shape as interests at different points in the production chain seek advantage in any way they can, and consequently, they are riven with imperfections. The interesting historical question is why US-style patent systems with all their imperfections have come to dominate other methods of encouraging inventive activity. The essays in the book suggest that the creation of a tradable but temporary property right facilitates the transfer of technological knowledge and thus fosters a highly productive decentralized ecology of inventors and firms.
Author: Alex Wellerstein Publisher: University of Chicago Press ISBN: 022602038X Category : History Languages : en Pages : 558
Book Description
"Nuclear weapons, since their conception, have been the subject of secrecy. In the months after the dropping of the atomic bombs on Hiroshima and Nagasaki, the American scientific establishment, the American government, and the American public all wrestled with what was called the "problem of secrecy," wondering not only whether secrecy was appropriate and effective as a means of controlling this new technology but also whether it was compatible with the country's core values. Out of a messy context of propaganda, confusion, spy scares, and the grave counsel of competing groups of scientists, what historian Alex Wellerstein calls a "new regime of secrecy" was put into place. It was unlike any other previous or since. Nuclear secrets were given their own unique legal designation in American law ("restricted data"), one that operates differently than all other forms of national security classification and exists to this day. Drawing on massive amounts of declassified files, including records released by the government for the first time at the author's request, Restricted Data is a narrative account of nuclear secrecy and the tensions and uncertainty that built as the Cold War continued. In the US, both science and democracy are pitted against nuclear secrecy, and this makes its history uniquely compelling and timely"--
Author: Stanford University
Author: Stanford University
Author: Stephen P. Boyd
Author: Gottfried Keller
Author: Steven Weinberg
Author: Mykel J. Kochenderfer
Author: 
Author: United States. Office of Education
Author: University of California, Berkeley
Author: Stephen H. Haber
Author: Alex Wellerstein