Understanding Advanced Chemistry Through Problem Solving (The Learner's Approach vol.2)

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Written for students taking either the University of Cambridge Advanced Level examinations or the International Baccalaureate examinations, this guidebook covers essential topics and concepts under both stipulated chemistry syllabi. The book is written in such a way as to guide the reader through the understanding and applications of essential chemical concepts using the problem-solving approach. The authors have also retained the popular discourse feature from their previous two books — Understanding Advanced Physical Inorganic Chemistry and Understanding Advanced Organic and Analytical Chemistry — to help the learners better understand and see for themselves, how the concepts should be applied during solving problems. Based on the Socratic Method, questions are implanted throughout the book to help facilitate the reader\'s development in forming logical conclusions of the concepts and the way they are being applied to explain the problems. In addition, the authors have also included important summaries and concept maps to help the learners to recall, remember, reinforce, and apply the fundamental chemical concepts in a simple way.

Understanding Advanced Chemistry Through Problem Solving (The Learner's Approach vol.1)

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Written for students taking either the University of Cambridge Advanced Level examinations or the International Baccalaureate examinations, this guidebook covers essential topics and concepts under both stipulated chemistry syllabi. The book is written in such a way as to guide the reader through the understanding and applications of essential chemical concepts using the problem-solving approach. The authors have also retained the popular discourse feature from their previous two books — Understanding Advanced Physical Inorganic Chemistry and Understanding Advanced Organic and Analytical Chemistry — to help the learners better understand and see for themselves, how the concepts should be applied during solving problems. Based on the Socratic Method, questions are implanted throughout the book to help facilitate the reader\'s development in forming logical conclusions of the concepts and the way they are being applied to explain the problems. In addition, the authors have also included important summaries and concept maps to help the learners to recall, remember, reinforce, and apply the fundamental chemical concepts in a simple way.

UNDERSTANDING MATHEMATICS THROUGH PROBLEM SOLVING

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This book will present a collection of mathematical problems — lighthearted in nature — intended to entertain the general readership. Problems will be selected largely for the unusual and unexpected solutions to which they lend themselves. Some interesting contents included: counterintuitive solutions to simple mathematical problems; entertaining mathematical problems; important and useful mathematical solutions to problems; problem solutions for mathematics to general usage; visual mathematical problems; timely mathematical problems. All in all, the book is meant to entertain the general readership and to convince them about the power and beauty of mathematics. Sample Chapter(s) Preface Introduction Chapter 1: Problem Solving in Mathematics Contents: Problem Solving in Mathematics Entertaining Mathematical Problems Counterintuitive Solutions to Simple Mathematical Problems Important and Useful Mathematical Solutions to Problems Problem Solving for Mathematics in General Usage Visual Mathematical Problems Readership: General readership in mathematics.

Digital Signal Processing Using MATLAB:A Problem Solving Companion (4版)

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【簡介】 【目錄】 1. INTRODUCTION. 2. DISCRETE-TIME SIGNALS AND SYSTEMS. 3. THE DISCRETE-TIME FOURIER ANALYSIS. 4. THE z-TRANSFORM. 5. THE DISCRETE FOURIER TRANSFORM. 6. IMPLEMENTATION OF DISCRETE-TIME FILTERS. 7. FIR FILTER DESIGN. 8. IIR FILTER DESIGN. 9. SAMPLING RATE CONVERSION. 10. ROUND-OFF EFFECTS IN DIGITAL FILTERS. 11. APPLICATIONS IN ADAPTIVE FILTERING. 12. APPLICATIONS IN COMMUNICATIONS. *13. RANDOM PROCESSES. *14. LINEAR PREDICTION AND OPTIMUM LINEAR FILTERS. *15. ADAPTIVE FILTERS. ＊Chapter 13-15 are online chapters.