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Bellman & Black
Killing a bird with his slingshot as a boy, William Bellman grows up a wealthy family man unaware of how his act of childhood cruelty will have terrible consequences until a wrenching tragedy compels him to enter into a macabre bargain with a stranger in black.
The Bellman Function Technique in Harmonic Analysis
A comprehensive reference on the Bellman function method and its applications to various topics in probability and harmonic analysis.
The Bellman
None
The Normal Child
This title is directed primarily towards health care professionals outside of the United States. It provides a modern description of the normal variation of physical and behavioural features in the infant and young child. By reference to the abnormal, it will explain how to recognise and distinguish between normal variation and abnormal development that should be investigated further.
Optimal Control and Viscosity Solutions of Hamilton-Jacobi-Bellman Equations
This softcover book is a self-contained account of the theory of viscosity solutions for first-order partial differential equations of Hamilton–Jacobi type and its interplay with Bellman’s dynamic programming approach to optimal control and differential games. It will be of interest to scientists involved in the theory of optimal control of deterministic linear and nonlinear systems. The work may be used by graduate students and researchers in control theory both as an introductory textbook and as an up-to-date reference book.
Hamilton-Jacobi-Bellman Equations
Optimal feedback control arises in different areas such as aerospace engineering, chemical processing, resource economics, etc. In this context, the application of dynamic programming techniques leads to the solution of fully nonlinear Hamilton-Jacobi-Bellman equations. This book presents the state of the art in the numerical approximation of Hamilton-Jacobi-Bellman equations, including post-processing of Galerkin methods, high-order methods, boundary treatment in semi-Lagrangian schemes, reduced basis methods, comparison principles for viscosity solutions, max-plus methods, and the numerical approximation of Monge-Ampère equations. This book also features applications in the simulation of ...
The Exotic In Western Music
Exoticism has flourished in western music since the seventeenth century. A blend of familiar and unfamiliar gestures, this vibrant musical language takes the listener beyond the ordinary by evoking foreign cultures and forbidden desires. In this pioneering collection, distinguished musicologists explore the ways in which western composers have used exotic themes for dramatic and striking effect. Interweaving historical, musical, and cultural perspectives, the contributors examine the compositional use of exotic styles and traditions in the works of artists as diverse as Mozart and George Harrison. The volume sheds new light on a significant yet largely neglected art form, and it makes a valuable contribution to music history and cultural studies.
Dynamic Programming
Introduction to mathematical theory of multistage decision processes takes a "functional equation" approach. Topics include existence and uniqueness theorems, optimal inventory equation, bottleneck problems, multistage games, Markovian decision processes, and more. 1957 edition.
The Thirteenth Tale
In this rousingly good ghost story, Setterfield's debut novel rejuvenates the genre with a closely plotted, clever foray into a world of secrets, confused identities, lies, and half-truths.
Foundations of Reinforcement Learning with Applications in Finance
Foundations of Reinforcement Learning with Applications in Finance aims to demystify Reinforcement Learning, and to make it a practically useful tool for those studying and working in applied areas — especially finance. Reinforcement Learning is emerging as a powerful technique for solving a variety of complex problems across industries that involve Sequential Optimal Decisioning under Uncertainty. Its penetration in high-profile problems like self-driving cars, robotics, and strategy games points to a future where Reinforcement Learning algorithms will have decisioning abilities far superior to humans. But when it comes getting educated in this area, there seems to be a reluctance to jump...
