Discrete Mathematics For Computer Science
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We introduce you to this language through a fun try this before we explain everything approach.
Discrete mathematics for computer science. Discrete mathematics is as essential for computer science as calculus is for physics. X contents 3 2 operations on binary relations 163 3 2 1 inverses 163 3 2 2 composition 165 3 3 exercises 166 3 4 special types of relations 167 3 4 1 reflexive and irreflexive relations 168 3 4 2 symmetric and antisymmetric relations 169 3 4 3 transitive. Universities found that the math subjects that lead to courses like calculus did not. Discrete math was cre a ted a few decades ago and is the mathematical language of computer science.
This book by pace univ. Through a wealth of exercises and examples you will learn how mastering discrete mathematics will help you develop important reasoning skills that will continue to be useful throughout your career. One needs to be fluent in it to work in many fields including data science machine learning and software engineering it is not a coincidence that math puzzles are often used for interviews. An increasing number of computer scientists from diverse areas are using discrete mathematical structures to explain concepts and problems and this mathematics text shows you how to express precise ideas in clear mathematical language.
The book includes many helpful worked examples. Of malta focuses on topics which are central to computer science including the formal definition of data types and the use of induction to prove correctness. Is most useful for future courses in programming languages particularly those that use a language like haskell.
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