Professor Gu has taught the graduate level courses in systems engineering and design for many years and this book has evolved from course notes. As he has taught the course he has encountered students from the control area who want to pursue their study in wireless communications and students from the communication and signal processing areas who want to learn optimal estimation theory in order to solve their research problems.
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Discrete-Time Linear Systems: Theory and Design with Applications combines system theory and design in order to show the importance of system theory and its role in system design. The book focuses on system theory (including optimal state feedback and optimal state estimation) and system design (with applications to feedback control systems and wireless transceivers, plus system identification and channel estimation).
International ISBN: 9781489989079
| Weight | 1 kg |
|---|---|
| Dimensions | 24 × 16 × 3 cm |
| Book Author | Guoxiang Gu |
| Edition | 1st |
| Format | Paperback |
| ISBN | 9781071605103, 9781489989079 |
| Language | English |
| Pages | 468 |
| Publication Year | |
| Publisher |
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A good example is the proof that there is no projective plane of parameter 10. In that case the computations involved were not different in kind from those which have been done by human brains without electronic assistance; they were merely longer. Computers have also been useful in the study of combinatorial spec trum problems: if a class of design has certain parameters, what is the set of values that the parameters can realize? In many cases, there is a recursive construction, so that the existence of a small number of “starter” designs leads to the construction of infinite classes of designs, and computers have proven very useful in finding “starter” designs.
The text provides flexibility for choosing the software instructors want to use in class; allows students to work with new, complete databases, including Wedgewood Pacific Corporation, Heather Sweeney Designs, and Wallingford Motors; and includes coverage for some of the latest information on databases available.
Alexandrov’s work was both original and extremely influential. This book gave rise to studying surfaces “in the large,” rejecting the limitations of smoothness, and reviving the style of Euclid. Progress in geometry in recent decades correlates with the resurrection of the synthetic methods of geometry and brings the ideas of Alexandrov once again into focus. This text is a classic that remains unsurpassed in its clarity and scope.
The book focuses on simple two-stage adaptive designs with sample size re-estimation before moving on to explore more challenging designs and issues that include drop-loser, adaptive dose-funding, biomarker-adaptive, multiple-endpoint adaptive, response-adaptive randomization, and Bayesian adaptive designs. In many of the chapters, the author compares methods and provides practical examples of the designs, including those used in oncology, cardiovascular, and inflammation trials.
Equipped with the knowledge of adaptive design presented in this book, you will be able to improve the efficiency of your trial design, thereby reducing the time and cost of drug development.
Concepts of Combinatorial Optimization, is divided into three parts:
– On the complexity of combinatorial optimization problems, presenting basics about worst-case and randomized complexity;
– Classical solution methods, presenting the two most-known methods for solving hard combinatorial optimization problems, that are Branch-and-Bound and Dynamic Programming;
– Elements from mathematical programming, presenting fundamentals from mathematical programming based methods that are in the heart of Operations Research since the origins of this field.
The text is organized into three parts: A Library of Elementary Functions (Chapter 1), Finite Mathematics (Chapters 2-7, 14), and Calculus (Chapters 8-13). My Lab™ Math is not included. Students, if My Lab Math is a recommended/mandatory component of the course, please ask your instructor for the correct ISBN. My Lab Math should only be purchased when required by an instructor. Instructors, contact your Pearson representative for more information.
In the 14th SI Edition, new co-author Christopher Heil (Georgia Institute of Technology) partners with author Joel Hass to preserve what is best about Thomas’ time-tested text while reconsidering every word and every piece of art with today’s students in mind. The result is a text that goes beyond memorizing formulas and routine procedures to help students generalize key concepts and develop deeper understanding.
The material has been well organized, stress being given to various definition and appropriate examples are worked out to comprehend logically in a coherent manner to the graduate students when the applications are encounter in their various specialization in engineering curriculum.
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