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""Informed by historical Christian authors as well as contemporary social arrangements, Stephen Boyd exposes the full range of effects-personal, social, theological, and global-of socialization to masculinity. In this wise and moving book he points the way from isolation of 'autonomous Western man' to profound reconnection with oneself, other human beings, the earth, and God."" -Margaret R. Miles author of Bodies in Society and Rereading Historical Theology ""Stephan Boyd unflinchingly plumbs the destructiveness of cultural masculinity for men themselves as well as for everyone and everything else. His grasp of the spiritually transformative process leading toward what we men long to be is e...
Contributors to this book--historians, biblical specialists, theologians, ethicists, and scholars of comparative religions--examine the relationship between religious tradition and manhood. The essays cover a broad range of topics--from the dynamics of power in shaping masculine identity, to the role religion plays in shaping masculine identity, to the experience of myth, ritual, spiritual discipline, and community in the lives of men.
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.
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.
A well-written alternative for men who long to grow beyond the bounds of tradition and satisfy their yearnings for wholeness.
A groundbreaking introduction to vectors, matrices, and least squares for engineering applications, offering a wealth of practical examples.
In this book the authors reduce a wide variety of problems arising in system and control theory to a handful of convex and quasiconvex optimization problems that involve linear matrix inequalities. These optimization problems can be solved using recently developed numerical algorithms that not only are polynomial-time but also work very well in practice; the reduction therefore can be considered a solution to the original problems. This book opens up an important new research area in which convex optimization is combined with system and control theory, resulting in the solution of a large number of previously unsolved problems.
Bjorn Krondorfer, one of the leading scholars in this field, has collected 35 key texts that have shaped this field within the wider area of the study of gender, religion and culture. The texts in this critical reader engage actively and critically with the position of men in society and church, men's privileged relation to the sacred and to religious authority, the ideals of masculinity as engendered by religious discourse, and alternative trajectories of being in the world, whether spiritually, relationally or sexually. Each of the texts is introduced by the editor and accompanied by bibliographies that make this the ideal tool for study.
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 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...