Rabu, 18 April 2012

[D595.Ebook] Ebook Free Fundamentals of Algorithmics, by Gilles Brassard, Paul Bratley

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Fundamentals of Algorithmics, by Gilles Brassard, Paul Bratley

Fundamentals of Algorithmics, by Gilles Brassard, Paul Bratley



Fundamentals of Algorithmics, by Gilles Brassard, Paul Bratley

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Fundamentals of Algorithmics, by Gilles Brassard, Paul Bratley

This is an introductory-level algorithm book. It includes worked-out examples and detailed proofs. Presents Algorithms by type rather than application. Includes structured material by techniques employed, not by the application area, so readers can progress from the underlying abstract concepts to the concrete application essentials. It begins with a compact, but complete introduction to some necessary math. And it approaches the analysis and design of algorithms by type rather than by application.

  • Sales Rank: #431712 in Books
  • Published on: 1995-08-20
  • Original language: English
  • Number of items: 1
  • Dimensions: 9.20" h x 1.20" w x 6.90" l, 2.06 pounds
  • Binding: Hardcover
  • 524 pages

From the Publisher
This is an introductory-level algorithm text. It includes worked-out examples and detailed proofs. Presents Algorithms by type rather than application.

From the Back Cover

This is an introductory-level algorithm book. It includes worked-out examples and detailed proofs. Presents Algorithms by type rather than application. Includes structured material by techniques employed, not by the application area, so readers can progress from the underlying abstract concepts to the concrete application essentials. It begins with a compact, but complete introduction to some necessary math. And it approaches the analysis and design of algorithms by type rather than by application.

Most helpful customer reviews

21 of 24 people found the following review helpful.
What's with all these negatived reviews?
By A Customer
This book is written in a simple style: algoritm class description, related proofs, examples, variations and exemples. Because of this clean approach, you can basically read it in a couple days if you have the necessary background knowledge, and in a couple weeks if not. I strongly recommend this book to everyone who are calling themselves "programers", either graduated or not, it will teach/remind them what are the elegant fundamental algorithmic approches to common problems; it's seems that today's software could use a bit of this elegance. As for all the negative reviews, I'm astonished. I own several books on the subject, and I find this one the easiest to read, no question. It must be some sort of personal vendetta against the author, a failed undegraduate course with this book as teaching material, or some other personal reason; that's probably why this/these person(s) whish(es) to remain anonymous.

12 of 13 people found the following review helpful.
Fundamentals of Algorithmics
By Francisco Palomo
One of the few books organising algorithms around design techniques instead of application areas (see "Algorithms" from Sedgevick). Though both approachs have pros and cons, I've found the former most convenient for people learning to design algorithms. Many problems admit several solutions depending on the design tecnique involved. This fact is emphasized by the authors.
The book is self-contained, plainly written, so that an undergraduate can read it after taking a prerequisite course on programming.
It's also mathematically rigorous, while mantaining simplicity. This allows analysis of algorithms to be really "analytic" (no more guessing the solution to a recurrence relation).
One main drawback (certainly usual) is the lack of excercise solutions.

9 of 10 people found the following review helpful.
It's a very good book for Algorithmic Techniques
By Oscar Meza
I don't agree with the other reviews. This book is a serious one and it is a "smooth" version of "Algorithms: Theory and Practice" from the same authors, which has a 5 stars rate. The book don't teach how to program, but the main kind of techniques in algorithm design (Greedy, Divide and Conquer and Dynamic Programing techniques, and others like Backtracking, Probabilistic Algorithms, etc.). I teach a course of Algorithm Design with this book (having the Sedgewick and Cormen books like additional very good references) and I think that it is a very instructive course on algorithmics (but NOT in programming, of course).

See all 18 customer reviews...

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