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Convex Optimization
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.
A Companion to Cervantes's Novelas Ejemplares
This edited volume of fourteen specially commissioned essays written from a variety of critical perspectives by leading Cervantine scholars seeks to provide an overview of Cervantes's Novelas ejemplares which will be of interest to a broad academic readership. This edited volume of fourteen specially commissioned essays written from a variety of critical perspectives by leading cervantine scholars seeks to provide an overview of Cervantes's Novelas ejemplares which will be of interest to a broad academic readership. An extensive general Introduction places the Novelas in the context of Cervantes's life and work; provides basic information about their content, composition, internal ordering, ...
Grappling With the Chronology of the Genesis Flood
Understand this highly debated flash point for scientific debate, academic criticism, and common confusion with this unique presentation. Delve into the technical aspects of the chronology, historicity, and significance of understanding this landmark event, including what we can learn from the Hebrew words used to describe it.Examine the numerous geological, geophysical, and paleontological indications pointing to the reality and global scope of the Flood.Learn how and why the authors' exhaustive research began, putting forth objectives, criticisms they would address, and identifying obstacles to be resolved. The Flood as described in the Book of Genesis not only shaped the global landscape,...
Introduction to Applied Linear Algebra
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
Distributed Optimization and Statistical Learning Via the Alternating Direction Method of Multipliers
Surveys the theory and history of the alternating direction method of multipliers, and discusses its applications to a wide variety of statistical and machine learning problems of recent interest, including the lasso, sparse logistic regression, basis pursuit, covariance selection, support vector machines, and many others.
Restless
It is 1939. Eva Delectorskaya is a beautiful 28-year-old Russian émigrée living in Paris. As war breaks out she is recruited for the British Secret Service by Lucas Romer, a mysterious Englishman, and under his tutelage she learns to become the perfect spy, to mask her emotions and trust no one, including those she loves most. Since the war, Eva has carefully rebuilt her life as a typically English wife and mother. But once a spy, always a spy. Now she must complete one final assignment, and this time Eva can't do it alone: she needs her daughter's help.
Proximal Algorithms
Proximal Algorithms discusses proximal operators and proximal algorithms, and illustrates their applicability to standard and distributed convex optimization in general and many applications of recent interest in particular. Much like Newton's method is a standard tool for solving unconstrained smooth optimization problems of modest size, proximal algorithms can be viewed as an analogous tool for nonsmooth, constrained, large-scale, or distributed versions of these problems. They are very generally applicable, but are especially well-suited to problems of substantial recent interest involving large or high-dimensional datasets. Proximal methods sit at a higher level of abstraction than class...
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The Blind Strategist
Did Nazi war criminals deceive the United States military during the Cold War? A new book by a Canberra-based historian tells the story of how America’s most famous and influential military theorist was seduced by the lies of Hitler’s defeated generals. From the author of Panzer Commander Hermann Balck and False Flags comes The Blind Strategist: John Boyd and the American Art of War. Colonel John Boyd, a maverick fighter pilot, revolutionized the American art of war through his ideas on conflict and the human mind. Boyd claimed that victory is won by the side which transitions through 'decision cycles' faster than the enemy and his ideas gained influential converts in the Pentagon who we...
