This is a collection of free and open textbooks which by various parties and educational organizations from all over the world. Their objectives are plain and simple – to create an avenue and platform where all students can gain access to learning materials for free.
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These lecture notes were translated from the Finnish lecture notes for the TUT course ‘Matemaattinen kryptologia’. The laborious bulk translation was taken care of by the students Jussi Kangas (visiting from the University of Tampere) and Paul Coughlan (visiting from the University of Dublin, Trinity College).
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This book shows how to design approximation algorithms: efficient algorithms that find provably near-optimal solutions. Designed as a textbook for graduate-level algorithms courses, the book will also serve as a reference for researchers who are interested in the heuristic solution of discrete optimization problems.
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Algorithms, 4th Edition surveys the most important algorithms and data structures in use today. We motivate each algorithm that we address by examining its impact on applications to science, engineering, and industry.
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Digital Signal Processing is the science of using computers to understand these types of data. This includes a wide variety of goals: filtering, speech recognition, image enhancement, data compression, neural networks, and much more. DSP is one of the most powerful technologies that will shape science and engineering in the twenty-first century.
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In this book we will be concerned with supervised learning, which is the problem of learning input-output mappings from empirical data (the training dataset). Depending on the characteristics of the output, this problem is known as either regression, for continuous outputs, or classification, when outputs are discrete.
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This book is aimed at senior undergraduates and graduate students in Engineering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and linear algebra as taught in a first or second year undergraduate course on mathematics for scientists and engineers.
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This book is written in the hope that presenting the engineering discipline underlying successful parallel-programming projects will free a new generation of parallel hackers from the need to slowly and painstakingly reinvent old wheels, enabling them to instead focus their energy and creativity on new frontiers.
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