A Margin In Time

Margin is the space that once existed between ourselves and our limits. Today we use margin just to get by. This book is for anyone who yearns for relief from the pressure of overload. Reevaluate your priorities, determine the value of rest and simplicity in your life, and see where your identity really comes from. The benefits can be good health, financial stability, fulfilling relationships, and availability for God’s purpose.

In this book can be heard the merest edge of an enormous conversation. As they never were in life, we can imagine the speakers all gathered in some vast room, wearing name tags in case they don’t recognize each other (although some recognize each other all too well, and avoid contact). My heroes and heroines are here. An almanac combining a comprehensive survey of modern culture with an annotated index of who-was-who and what-was-what, Cultural Amnesia is Clive James’s unique take on the places and the faces that shaped the twentieth-century. From Anna Akhmatova to Stefan Zweig, via Charles de Gaulle, Hitler, Thomas Mann and Wittgenstein, this varied and unfailingly absorbing book is both story and history, both public memoir and personal record – and provides an essential field-guide to the vast movements of taste, intellect, politics and delusion that helped to prepare the times we live in now.

Consider the problem of a robot (algorithm, learning mechanism) moving along the real line attempting to locate a particular point ? . To assist the me- anism, we assume that it can communicate with an Environment (“Oracle”) which guides it with information regarding the direction in which it should go. If the Environment is deterministic the problem is the “Deterministic Point - cation Problem” which has been studied rather thoroughly [1]. In its pioneering version [1] the problem was presented in the setting that the Environment could charge the robot a cost which was proportional to the distance it was from the point sought for. The question of having multiple communicating robots locate a point on the line has also been studied [1, 2]. In the stochastic version of this problem, we consider the scenario when the learning mechanism attempts to locate a point in an interval with stochastic (i. e. , possibly erroneous) instead of deterministic responses from the environment. Thus when it should really be moving to the “right” it may be advised to move to the “left” and vice versa. Apart from the problem being of importance in its own right, the stoch- tic pointlocationproblemalsohas potentialapplications insolvingoptimization problems. Inmanyoptimizationsolutions–forexampleinimageprocessing,p- tern recognition and neural computing [5, 9, 11, 12, 14, 16, 19], the algorithm worksits wayfromits currentsolutionto the optimalsolutionbasedoninfor- tion that it currentlyhas. A crucialquestionis oneof determining the parameter whichtheoptimizationalgorithmshoulduse.