In view of Professor Wendell Fleming's many fundamental contributions, his profound influence on the mathematical and systems theory communi- ties, his service to the profession, and his dedication to mathematics, we have invited a number of leading experts in the fields of control, optimiza- tion, and stochastic systems to contribute to this volume in his honor on the occasion of his 70th birthday. These papers focus on various aspects of stochastic analysis, control theory and optimization, and applications. They include authoritative expositions and surveys as well as research papers on recent and important issues. The papers are grouped according to the following four major themes: (1) large deviations, risk sensitive and Hoc control, (2) partial differential equations and viscosity solutions, (3) stochastic control, filtering and parameter esti- mation, and (4) mathematical finance and other applications. We express our deep gratitude to all of the authors for their invaluable contributions, and to the referees for their careful and timely reviews. We thank Harold Kushner for having graciously agreed to undertake the task of writing the foreword. Particular thanks go to H. Thomas Banks for his help, advice and suggestions during the entire preparation process, as well as for the generous support of the Center for Research in Scientific Computation. The assistance from the Birkhauser professional staff is also greatly appreciated.
Significant research activities have taken place in the areas of local and global optimization in the last two decades. Many new theoretical, computational, algorithmic, and software contributions have resulted. It has been realized that despite these numerous contributions, there does not exist a systematic forum for thorough experimental computational testing and. evaluation of the proposed optimization algorithms and their implementations. Well-designed nonconvex optimization test problems are of major impor tance for academic and industrial researchers interested in algorithmic and software development. It is remarkable that eventhough nonconvex models dominate all the important application areas in engineering and applied sci ences, there is only a limited dass of reported representative test problems. This book reflects our long term efforts in designing a benchmark database and it is motivated primarily from the need for nonconvex optimization test problems. The present collection of benchmarks indudes test problems from literature studies and a large dass of applications that arise in several branches of engineering and applied science."
Synthesis and Optimization of DSP Algorithms describes approaches taken to synthesising structural hardware descriptions of digital circuits from high-level descriptions of Digital Signal Processing (DSP) algorithms. The book contains: -A tutorial on the subjects of digital design and architectural synthesis, intended for DSP engineers, -A tutorial on the subject of DSP, intended for digital designers, -A discussion of techniques for estimating the peak values likely to occur in a DSP system, thus enabling an appropriate signal scaling. Analytic techniques, simulation techniques, and hybrids are discussed. The applicability of different analytic approaches to different types of DSP design is covered, -The development of techniques to optimise the precision requirements of a DSP algorithm, aiming for efficient implementation in a custom parallel processor. The idea is to trade-off numerical accuracy for area or power-consumption advantages. Again, both analytic and simulation techniques for estimating numerical accuracy are described and contrasted. Optimum and heuristic approaches to precision optimisation are discussed, -A discussion of the importance of the scheduling, allocation, and binding problems, and development of techniques to automate these processes with reference to a precision-optimized algorithm, -Future perspectives for synthesis and optimization of DSP algorithms. A wide body of literature exists covering separately the areas of DSP, hardware design, and design automation. This book brings together the fields, concentrating on those transformations, optimizations, and design techniques that would usually be considered to cross the domain boundaries between "pure DSP" and "pure digital implementation". As such, this book forms a valuable contribution to the existing literature. Synthesis and Optimization of DSP Algorithms is of use both to researchers and students in the field of design automation for DSP systems, and to those wishing to implement state-of-the-art techniques within an Electronic Design Automation framework.
Little House on the Prairie books have been beloved by both children and adults alike since they were first released in the 1930's. This book contains 21 word search puzzles based on the books by Laura Ingalls Wilder. Unlike other puzzle books that are usually thrown away when finished, this work is meant as a guide to the Little House books to keep and refer back to. Contains information about each of the Little House books as well as interesting information about the Ingalls family, the places where Laura lived, and the television series. Complete list of all the Ingalls - Wilder museums and homes with contact information on how to visit. Puzzles suitable for all ages. Parents may choose to read the entries about the Little House books to their children, as they are written on a young adult reading level. Each puzzle was created by the author by re-reading the entire set of Little House books and pulling out words that showed the basic theme of each story. Puzzles and descriptions based on each of the following Laura Ingalls Wilder books: - Little House in the Big Woods - Farmer Boy - Little House on the Prairie - On the Banks of Plum Creek - By the Shores of Silver Lake - The Long Winter - Little Town on the Prairie - These Happy Golden Years - The First Four Years - On the Way Home - West From Home Gregory White has been studying Laura Ingalls Wilder for over 35 years. Excerpt: I was able to take a charter bus with Evelyn and a group of about fifteen others (mostly adults) to the Laura Ingalls Wilder Historic Home in Mansfield, Missouri. The experience of visiting Rocky Ridge Farm is probably why I still enjoy museums to this day. It wasn't the souvenirs in the gift shop that interested me - it was being able to walk across the same floors as Laura and Almanzo, to look out of the same windows of their house and see the views they saw, and to actually lay eyes on the desk where she wrote the Little House books. For someone wanting to become a writer when he grew up, it showed me a connection between a real person and a place, and the world she created to share with the entire world through writing. - Gregory White
A comprehensive introduction to convexity and optimization in Rn<br> <br> This book presents the mathematics of finite dimensional constrained optimization problems. It provides a basis for the further mathematical study of convexity, of more general optimization problems, and of numerical algorithms for the solution of finite dimensional optimization problems. For readers who do not have the requisite background in real analysis, the author provides a chapter covering this material. The text features abundant exercises and problems designed to lead the reader to a fundamental understanding of the material.<br> <br> Convexity and Optimization in Rn provides detailed discussion of:<br> * Requisite topics in real analysis<br> * Convex sets<br> * Convex functions<br> * Optimization problems<br> * Convex programming and duality<br> * The simplex method<br> <br> <br> A detailed bibliography is included for further study and an index offers quick reference. Suitable as a text for both graduate and undergraduate students in mathematics and engineering, this accessible text is written from extensively class-tested notes.
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