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...

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If you are new to programming with Python and are looking for a solid introduction, this is the book for you. Developed by computer science instructors, books in the for the absolute beginner series teach the principles of programming through simple game creation. You will acquire the skills that you need for more practical Python...

Essentials of Research Design and Methodology contains practical information on how to design and conduct scientific research in the behavioral and social sciences. This accessible guide covers basic to advanced concepts in a clear, concrete, and readable...

Bioinformatics, Biocomputing and Perl presents an extended tutorial introduction to programming through Perl, the premier programming technology of the bioinformatics community. Even though no previous programming experience is assumed, completing the tutorial equips the reader with the ability to produce powerful custom...

Are you familiar with the IEEE floating point arithmetic standard? Would you like to understand it better? This book gives a broad overview of numerical computing, in a historical context, with a special focus on the IEEE standard for binary floating point arithmetic. Key ideas are developed step by step, taking the reader from floating point...

What time of year do teenage girls search for prom dresses online? How does the quick adoption of technology affect business success (and how is that related to corn farmers in Iowa)? How do time and money affect the gender of visitors to online dating sites? And how is the Internet itself affecting the way we experience the world? In...