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barrington d mathematical foundation computer science 2019

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Textbook in PDF format Undergraduate computer science students need to learn and use the mathematical method of abstraction, definition, and proof, perhaps even earlier than do mathematics students. They deal constantly with formally defined systems beyond those studied in mathematics courses, and must be able reason about them formally in order to write and understand programs. A Mathematical Foundation for Computer Science introduces the mathematical method using examples from computer science, often illustrated by Java-like code. It begins with propositional and predicate logic, introduces number theory, and deals thoroughly with mathematical induction as it relates to recursive definition and recursive algorithms. Later chapters cover combinatorics, probability, graphs and searching, finite-state machines, and a brief introduction to formal language theory. Sets, Propositions, and Predicates Quantifiers and Predicate Calculus Number Theory Recursion and Proof by Induction

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Barrington D. A Mathematical Foundation for Computer Science 2019.pdf 65.9 MB

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barrington d mathematical foundation computer science 2019