The thirteen chapters written expressly for this book by logicians, theoretical computer scientists, philosophers, and semanticists address, from the perspective of mathematical logic, the problems of understanding and studying the flow of information through any information-processing system.The logic of information flow has applications in...

"This book is probably the best general small business text available at present." Dr Jonathan Lean, Principal Lecturer in Strategic Management, University of Plymouth Business School, UK Want to be at the cutting edge of this dynamic and exciting subject? This text delivers the latest research, current thinking and practice, and...

This book covers the design of next generation microprocessors in deep submicron CMOS technologies. The chapters in Design of High Performance Microprocessor Circuits were written by some of the world's leading technologists, designers, and researchers. All levels of system abstraction are covered, but the emphasis rests squarely...

The 12^th edition of this popular text continues to build on four major marketing themes: building and managing profitable customer relationships, building and managing strong brands to create brand equity, harnessing new marketing technologies in the digital age, and marketing in a socially...

Essentials of Computational Chemistry provides a balanced introduction to this dynamic subject.  Suitable for both experimentalists and theorists, a wide range of samples and applications are included drawn from all key areas.  The book carefully leads the reader thorough the necessary equations providing information explanations...

In the Fifth Edition of this nationally acclaimed book, students learn the management skills and competencies that will enable them to meet the challenges they'll experience as leaders in tomorrow's dynamic, rapidly changing business environment. The authors focus on key management principles and how they apply in real business...

Kalman filtering algorithm gives optimal (linear, unbiased and minimum error-variance) estimates of the unknown state vectors of a linear dynamic-observation system, under the regular conditions such as perfect data information; complete noise statistics; exact linear modelling; ideal will-conditioned matrices in computation and strictly...