Fundamentals of Discrete Math for Computer Science
Springer International Publishing (Verlag)
978-3-319-70150-9 (ISBN)
This clearly written textbook presents an accessible introduction to discrete mathematics for computer science students, offering the reader an enjoyable and stimulating path to improve their programming competence. The text empowers students to think critically, to be effective problem solvers, to integrate theory and practice, and to recognize the importance of abstraction. Its motivational and interactive style provokes a conversation with the reader through a questioning commentary, and supplies detailed walkthroughs of several algorithms.
This updated and enhanced new edition also includes new material on directed graphs, and on drawing and coloring graphs, in addition to more than 100 new exercises (with solutions to selected exercises).
Students embarking on the start of their studies of computer science will find this book to be an easy-to-understand and fun-to-read primer, ideal for use in a mathematics course taken concurrently with their first programming course.
Dr. Tom Jenkyns is a retired Associate Professor from the Department of Mathematics and the Department of Computer Science at Brock University, Canada. Dr. Ben Stephenson is a Teaching Professor in the Department of Computer Science at the University of Calgary, Canada.
Algorithms, Numbers and Machines.- Sets, Sequences and Counting.- Boolean Expressions, Logic and Proof.- Searching and Sorting.- Graphs and Trees.- Relations: Especially on (Integer) Sequences.- Sequences and Series.- Generating Sequences and Subsets.- Discrete Probability and Average Case Complexity.- Turing Machines.
Erscheinungsdatum | 27.05.2018 |
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Reihe/Serie | Undergraduate Topics in Computer Science |
Zusatzinfo | XIII, 512 p. 120 illus. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 801 g |
Themenwelt | Informatik ► Theorie / Studium ► Algorithmen |
Mathematik / Informatik ► Mathematik | |
Schlagworte | Algorithm analysis and problem complexity • analysis of algorithms • complexity analysis • Discrete Mathematics • graph theory • Proof of Correctness |
ISBN-10 | 3-319-70150-9 / 3319701509 |
ISBN-13 | 978-3-319-70150-9 / 9783319701509 |
Zustand | Neuware |
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