The book is intended for people (graduates, researchers, but also undergraduates with a good mathematical background) involved in the study of (static) optimization problems (in finite-dimensional spaces). It contains a lot of material, from basic tools of convex analysis to optimality conditions for smooth optimization problems, for non smooth optimization problems and for vector optimization problems.
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.
Initial training in pure and applied sciences tends to present problem-solving as the process of elaborating explicit closed-form solutions from basic principles, and then using these solutions in numerical applications. This approach is only applicable to very limited classes of problems that are simple enough for such closed-form solutions to exist. Unfortunately, most real-life problems are too complex to be amenable to this type of treatment. Numerical Methods - a Consumer Guide presents methods for dealing with them.
Shifting the paradigm from formal calculus to numerical computation, the text makes it possible for the reader to
Â· discover how to escape the dictatorship of those particular cases that are simple enough to receive a closed-form solution, and thus gain the ability to solve complex, real-life problems;
Â· understand the principles behind recognized algorithms used in state-of-the-art numerical software;
Â· learn the advantages and limitations of these algorithms, to facilitate the choice of which pre-existing bricks to assemble for solving a given problem; and
Â· acquire methods that allow a critical assessment of numerical results.
Numerical Methods - a Consumer Guide will be of interest to engineers and researchers who solve problems numerically with computers or supervise people doing so, and to students of both engineering and applied mathematics.
"Evaluating, Doing and Writing Research in Psychology" is a thoroughly revised and expanded co-edition of the highly regarded "Reasoning and Argument in Psychology", originally published by UNSW Press, Australia. It represents a comprehensive textbook for all undergraduates in psychology who need to undertake empirical research, taking them step-by-step through the process. In particular, it offers the a range of study skills enabling the student to understand the complex processes involved with psychological research, not really covered in other texts. Coverage includes: a guide to evaluating statements, arguments and a range of different psychological explanations; chapters on the interpretation and evaluation of data and evidence, understanding weaknesses in psychological argument, and measurement and numerical reasoning; and, chapters on doing a literature review, writing up essays and projects, and reporting observational studies.This is a practical textbook. Textboxes are included to help students comprehend jargon, key research terms and likely problem areas in psychological research. At the end of each chapter, summaries, questions and exercises are included - all designed to give students extra clarification of issues and to help with their overall understanding. Plenty of new examples have been added from the previous edition and exercises are more clearly focused.
This is a simple guide to search engine optimization, written in layman's simplicity, geared specifically toward authors and using the best genre keywords for writers to use on blogs and book distributors such as Amazon. It is basic, basic, basic. No mention of HTML or any kind of coding. In fact, if you dabble in website coding or have any previous knowledge of how basic SEO works, keep on scrolling to other optimization guides. I know, I know. Book descriptions are supposed to encourage buying of this particular book. And you should if you are brand spanking new to how search engines and web crawlers work. But if you're looking for more advanced coding, this isn't the guide for that. Not by a long shot. So writers and bloggers new to search engine optimization, this short (25 pages) guide with screen shot examples is ideal. More advanced SEO specialists...move along. From Author Lavender Daye: "Most of the writers who buy this will be like me: desperately in need of the information and how to incorporate it, but with little (or slowly developing) techno savvy."
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