This book is intended as a textbook on Communication Systems Simulations for a senior undergraduate or graduate level course in Engineering.The concepts are presented in a lucid and clear cut manner, followed by appropriate simulations in MATLABS/Simulink.The book starts with a brief introduction to computer simulation followed by simulation of signals and systems, analog modulation systems, and angle modulation.Digital modulation schemes like ASK, FSK and PSK are also discussed. Several graded examples are given throughout the text.The book contains a number of figures and tables, on which make the discussion more clear and lucid.A detailed bibliography is appended at the end of each chapter, which would be of some assistance to the advanced learner.

This book presents the subject of Pharmacology in the context of the most significant clinical conditions, both from the academic and professional points of view. Each chapter deals with the drugs that are used for clinical conditions rather than as drugs acting on individual organ systems. The emphasis throughout the book has been on logic-based understanding of the subject. The author has deliberately avoided presenting information in a manner that tests pure memory skills. In this way, this textbook hopes to enhance and improve students’ understanding of the often complex subject of Pharmacology. It includes learning objectives, summaries, questions and many schematic illustrations.

This book provides an insightful, concise, and rigorous treatment of the basic theory of convex sets and functions in finite dimensions and the analytical/geometrical foundations of convex optimization and duality theory. Convexity theory is developed in a simple accessible manner, using easily visualised proofs. The book may be used as a supplementary source for nonlinear programming classes, and as a theoretical foundation for classes focused on convex optimization models. It contains many examples and illustrations in the text andis structured to be used conveniently either as a standalone text for a theoretically-oriented class on convex analysis and optimization, or as a theoretical supplement to either an applications/convex optimization models class or a nonlinear programming class.

The revised edition of Data Mining has a new chapter on rough set theory and some additions/modifications in chapter 4 dealing with association rules. The rough set theory is a tool of sets and relations for studying imprecision, vagueness and uncertainty in data analysis. It is a relatively new mathematical and artificial intelligence technique that has been witnessing growing application in data mining. In chapter 4, two new algorithms are included: Eclat/Declat for discovering association rules and FP-growth algorithm for generating frequent patterns.

This book has been written to cover the subject of Embedded Systems as per JNTU syllabus for Master of Computer Applications programme. This is an elective paper for the course in the 4th semester. The contents would also serve for a foundation course for BTech students of ECE and ICE streams on the subject. The book provides an understanding of the core principles of embedded-system programming, of real-time operating system (RTOS) and how to use it effectively.

This book describes various optimisation methods useful for engineering. The study of optimisation isquite useful in many applications spanning a large number of fields, e.g., design (automotive, aerospace, biomechanical), control, signal processing, communications, circuit design, etc. This book would be suitable as a textbook for senior undergraduate and postgraduate students of various engineering disciplines. The focus of the book is on nonlinear optimisation andapproaches such as response surface methods and genetic algorithms which have become popular in the past decade. It provides a strong background on optimality criterion methods and numerical techniques for gradient based optimisation. The book approaches optimisation from a modern perspective, where surrogate modelling and non-gradient based algorithms are assuming increasing importance while providing an in-depth coverage of the classical methods which are useful for pedagogical reasons and because they are available through various software libraries. The best way to learn optimisation methods is to do examples of problems by hand, followed by computer programming. This book provides at several places simple proofs of some of the algorithms and many problems which will be useful for home assignments and project work.