This book is based on an honors course in advanced calculus that we gave in the 1960’s. It can accordingly be used (with omissions) as a text for a year’s course in advanced calculus, or as a text for a three-semester introduction to analysis.
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The notes having reached a certain maturity, including examples, solved problems and exercises, we decided to turn them into an easy-to-use text on signal processing, with a look at communications as an application.
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The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular.
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This Special Issue on Real-Time Optimization includes both methodological and practical contributions. All seven methodological contributions deal with explicit RTO schemes that repeat the optimization when new measurements become available.
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Maxima by Example is a series of tutorial notes which include many examples of the power of Maxima. Designed for the new user, we include some “nuts and bolts” suggestions for working with the Maxima software, especially for the Windows user.
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This book presents computer programming as a key method for solving mathematical problems. It outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs.
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A comprehensive introduction to CMOS and bipolar analog IC design. The book presumes no prior knowledge of linear design, making it comprehensible to engineers with a non-analog background.
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It is intended for a student who, while not yet very familiar with abstract reasoning, is willing to study more rigorous mathematics that is presented in a “cookbook style” calculus type course.
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