Mathematics for Computer Science, (Paperback)
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This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods.
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Product Details
- Covers elementary discrete mathematics for computer science and engineering
- Emphasizes mathematical definitions, proofs, and applicable methods
- Topics include formal logic notation, proof methods, sets, relations, and more
- Selected topics may cover recursive definition, state machines, recurrences, and more
- Book includes grayscale images and text
- Author: Eric Lehman, F Thomson Leighton, Albert R Meyer, ISBN: 9781680921229, Format: Paperback, Publication Date: 2017-06-05
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | June, 2017 |
| Pages | 1010 |
| Subgenre | Computer Science |
| Series title | No Series |
| Edition | 1 |
| Publisher | 12th Media Services |
| Original languages | English |
| Language | English |
| Edu focus | Math & Counting |
| Educational level | College |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 8.50 x 1.99 x 11.00 in (21.6 x 5.1 x 27.9 cm) |
| Assembled product weight | 5.04 lb (2.29 kg) |
| Bisac subject heading | Computers |
Who Should Buy?
-
CS Students
Ideal for computer science students needing a solid foundation in mathematical concepts vital for programming and algorithms.
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Self Learners
Great resource for self-learners seeking to understand the mathematical principles behind complex computer science topics.
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Educators
Useful for educators teaching computer science, providing comprehensive material and examples to enhance classroom instruction.
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Beginners
Not suitable for complete beginners without prior knowledge of basic mathematics or computer science principles.
Product Description
Mathematics for Computer Science, (Paperback)
About This Item
Looking to enhance your knowledge of computer science with a strong foundation in mathematics? Look no further than "Mathematics for Computer Science" paperback. Authored by Eric Lehman, F Thomson Leighton, and Albert R Meyer, this book is packed with essential knowledge and insights that will help you excel in the field of computer science. Whether you're a student, professional, or simply have a keen interest in the subject, "Mathematics for Computer Science" is a must-have resource. This paperback edition, with an ISBN of 9781680921229, offers a convenient and portable format that you can take with you anywhere. The publication date of June 5, 2017, ensures that you'll have the most up-to-date information and relevant content to support your learning.
Written by renowned experts in the field, this book covers a wide range of topics, including: - Logic and proofs - Basic structures - Probability and counting - Graph theory - Polynomials and finite fields - Linear algebra and matrices - Cryptography - Computational complexity With "Mathematics for Computer Science," you'll not only gain a deeper understanding of the mathematical principles that underpin computer science, but you'll also develop the critical thinking and problem-solving skills necessary for success in this rapidly evolving field. Whether you're studying for a computer science exam, embarking on a career transition, or simply wanting to broaden your knowledge, this textbook is your comprehensive guide. Don't miss out on the opportunity to strengthen your skills and expand your horizons. Order your copy of "Mathematics for Computer Science" paperback today and take your computer science journey to new heights.
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Eric Lehman All Books Editorial Review
Mathematics for Computer Science is a comprehensive paperback edition published in June 2017, spanning 1010 pages and focusing on crucial mathematical concepts within computer science, making it ideal for college-level education. This non-fiction book serves as an essential resource for students and professionals in the computing field, covering a wide range of topics. Readers have noted its clarity and depth, helping them grasp complex mathematical theories necessary for programming and computational thinking. Additionally, its substantial weight and dimensions suggest that it is a thorough reference guide that one might use throughout their academic journey in computer science.
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Pros
- Comprehensive coverage of computer science mathematics
- Ideal for college-level education
- Clear explanations of complex concepts
- Well-structured and organized content
- Published by a reputable publisher
Cons
- Heavy, not ideal for on-the-go reading
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Features & Benefits
- Covers elementary discrete mathematics for computer science and engineering
- Emphasizes mathematical definitions, proofs, and applicable methods
- Topics include formal logic notation, sets, relations, graph theory, and more
- May cover additional topics such as recursive definition and structural induction
- Grayscale images and text
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