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Mathematics for Computer Science

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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. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and com This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.


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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. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and com This book covers elementary discrete mathematics for computer science and engineering. It emphasizes mathematical definitions and proofs as well as applicable methods. Topics include formal logic notation, proof methods; induction, well-ordering; sets, relations; elementary graph theory; integer congruences; asymptotic notation and growth of functions; permutations and combinations, counting principles; discrete probability. Further selected topics may also be covered, such as recursive definition and structural induction; state machines and invariants; recurrences; generating functions.

30 review for Mathematics for Computer Science

  1. 5 out of 5

    Jami

    http://courses.csail.mit.edu/6.042/sp... http://courses.csail.mit.edu/6.042/sp...

  2. 5 out of 5

    Andrew David Burt

    2018 MIT download link (legal!): https://courses.csail.mit.edu/6.042/s... 2018 MIT download link (legal!): https://courses.csail.mit.edu/6.042/s...

  3. 5 out of 5

    Mohamed Daif

    it's a great book. I liked the writing style. simple, efficient, and very funny :D The only drawback that I hate the normal examples always mentioned with probability with gambling ... my mind freezes whenever it encounters a gambling-related example. But otherwise the book is essential for any computer scientist/Engineer.

  4. 5 out of 5

    Voltariy Sarella

    It started fun, but it lost me on number theory, I really can't stand how boring that stuff is... Who would want to study it? I picked this up for probability, graphs and recurrences, but I don't know if I will finish it now, number theory was a complete turn off for me.

  5. 4 out of 5

    Ivan

    Самый интересный учебник в моей жизни. С шутками, интересными историями и очень понятными объяснениями.

  6. 4 out of 5

    Danial Kalbasi

    This book starts great and I should say I really enjoy the first few chapters, it contains a good way of explaining concepts and usage of them in computer science. However, after few chapters it really gets boring. It Just scratches the surface. That's why I do not recommend it.

  7. 4 out of 5

    Barry Poulson

    Unreadable on Kindle This might be an excellent book, however it is utterly unreadable on the Kindle. If even one editor had looked at one page the product would have been withdrawn. An insulting lack of quality control.

  8. 4 out of 5

    Nicolás Morales Samaniego

    Only I read some chapters and it is utile.

  9. 4 out of 5

    Valdeci Gomes

    I started to read this book because it was recommend by the Stanford Algorithms Specialization course, and after I read it I understood that we can stop to learning Math. I suffered a little reading this book, because there were many things to learn and remember for me, but I recommend this book if you want understand more about some of the Math used in Computer Science. This book is focused in Discrete Math, but we can a lot of general Math things reading it. Maybe we can live in the Software Eng I started to read this book because it was recommend by the Stanford Algorithms Specialization course, and after I read it I understood that we can stop to learning Math. I suffered a little reading this book, because there were many things to learn and remember for me, but I recommend this book if you want understand more about some of the Math used in Computer Science. This book is focused in Discrete Math, but we can a lot of general Math things reading it. Maybe we can live in the Software Engineering area without this kind of literature, but when applying the content of this kind of book we can become another kind of Developer. In this way, my Algorithms continue improving with this kind of literature! Worth the read!

  10. 4 out of 5

    Alex

  11. 4 out of 5

    James Jones

  12. 4 out of 5

    Gene

  13. 4 out of 5

    Ethan

  14. 4 out of 5

    Dhem Hernandez

  15. 4 out of 5

    SADIA

  16. 4 out of 5

    Slavone

  17. 5 out of 5

    Sergey Kim

  18. 4 out of 5

    Fake Name

  19. 4 out of 5

    Mehrdad Momeny

  20. 5 out of 5

    Աշոտ

  21. 4 out of 5

    Bhavisha

  22. 5 out of 5

    Vik

  23. 5 out of 5

    Javier Gimbert

  24. 4 out of 5

    Sreejith Puthanpurayil

  25. 4 out of 5

    Pasatoiu George

  26. 4 out of 5

    Justin

  27. 4 out of 5

    Amany Mohammed

  28. 5 out of 5

    Shashi Kant

  29. 5 out of 5

    Uzhdarchios

  30. 4 out of 5

    Steven Otto

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