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.
Mathematics for Computer Science
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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Jami –
http://courses.csail.mit.edu/6.042/sp... http://courses.csail.mit.edu/6.042/sp...
Andrew –
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...
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. 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.
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!
Sananab –
I read this a little bit every day for I lost track of how many months. It became such a part of my life for so long, I feel a little lost now. It's quite good. It covers a lot of ground and most of it is clear and arranged in a satisfying way. It covers math that comes up in computer science, but doesn't directly deal with computer science itself that often (which I liked; I'm at the point, personally, where I really just want to dig into the math). It's also one of MIT's many free textbooks, whi I read this a little bit every day for I lost track of how many months. It became such a part of my life for so long, I feel a little lost now. It's quite good. It covers a lot of ground and most of it is clear and arranged in a satisfying way. It covers math that comes up in computer science, but doesn't directly deal with computer science itself that often (which I liked; I'm at the point, personally, where I really just want to dig into the math). It's also one of MIT's many free textbooks, which is quite a gift to the world. Thank you Lehman and thank you MIT!
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. 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.
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. 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.
Ivan –
Самый интересный учебник в моей жизни. С шутками, интересными историями и очень понятными объяснениями.
Dang-Khoa Le Tan –
Lacking solutions for exercises is the main drawback of the book. Although most of the time the writing is funny, intriguing and you can feel the enthusiasm from the authors, some chapters are just too long and a bit tedious. Still, the companion video lectures on Youtube is fantastic and help me a low while working through the text.
Ivan Koma –
(FR) Well.. i don't see a sense for perusal coz about all chapters you can find more specific book, but in some cases that will be really useful to have this book on your PC or shelf if you start to work on some thing really close to math if you don't have some hard math problem in your code just read vertically and you don't lose much (FR) Well.. i don't see a sense for perusal coz about all chapters you can find more specific book, but in some cases that will be really useful to have this book on your PC or shelf if you start to work on some thing really close to math if you don't have some hard math problem in your code just read vertically and you don't lose much
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.
нєνєℓ ¢ανα –
A feast for the mind!...
Nicolás –
Only I read some chapters and it is utile.
Alex –
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