e-Book Algorithms epub download

e-Book Algorithms epub download

Author: Marcus Schaefer,Richard Johnsonbaugh
ISBN: 0023606924
Pages: 768 pages
Publisher: Pearson (August 10, 2003)
Language: English
Category: Programming
Size ePUB: 1147 kb
Size Fb2: 1798 kb
Size DJVU: 1813 kb
Rating: 4.4
Votes: 901
Format: docx mobi mbr docx
Subcategory: Technologies

e-Book Algorithms epub download

by Marcus Schaefer,Richard Johnsonbaugh



by Richard Johnsonbaugh (Author), Marcus Schaefer (Author). Marcus Schaefer is Assistant Professor of Computer Science at DePaul University. He holds degrees in computer science and mathematics from the University of Chicago and the Universitat Karlsruhe

by Richard Johnsonbaugh (Author), Marcus Schaefer (Author). He holds degrees in computer science and mathematics from the University of Chicago and the Universitat Karlsruhe. He has authored and co-authored several articles on complexity theory, computability, and graph theory.

Hi, does anybody know if this book can be bought in a pdf or e-book version? . Quick Navigation General Discussions Top. Site Areas.

Hi, does anybody know if this book can be bought in a pdf or e-book version? Thanks!!! 12-01-2013 whiteflags.

Richard Johnsonbaugh, Marcus Schaefer. For upper-level undergraduate and graduate courses in algorithms. The text includes application of algorithms, examples, end-of-section exercises, end-of-chapter exercises, hints and solutions to selected exercises, figures and notes to help the reader master the design and analysis of algorithms.

By: Johnsonbaugh, Richard. Contributor(s): Schaefer, Marcus, 1969-. Material type: BookPublisher: Upper Saddle River, NJ : Pearson Education,Description: xiii, 752 p. : ill. ; 26 c. SBN: 0023606924. Subject(s): Computer algorithmsDDC classification: 00. catalogued by: wessam.

Fain, 2003, J2EE . Bible, Wiley-dream tech India Pvt. Ltd, New Delhi.

4. Algorithms – Richard Johnson baugh and Marcus Schaefer, Pearson Education. Annexure – 2 . ECH COMPUTER SCIENCE & ENGINEERING STUDY EVALUATION SCHEME Page 35 of 64 TCS-503 : Advanced Java Programming L T P 3 0 0 UNIT 1 (8L) J2SE: Concepts and Prerequisites: Data Types, Arrays, Dynamic Arrays, Type Casting, Classes and Objects, Inheritance, Interfaces, Exception Handling, Multi-Threading. Fain, 2003, J2EE .

Richard Johnsonbaugh; Marcus Schaefer. ISBN 10: 0023606924, ISBN 13: 9780023606922. The volume includes application of algorithms, examples, end-of-section exercises, end-of-chapter exercises, hints and solutions to selected exercises, figures and notes to help the reader master the design and analysis of algorithms.

Discover new books on Goodreads. See if your friends have read any of Marcus Schaefer's books. Marcus Schaefer’s Followers. None yet. Marcus Schaefer. Marcus Schaefer’s books. Crossing Numbers of Graphs.

Marcus Schaefer, Richard Johnsonbaugh.

Books, images, historic newspapers, maps, archives and more. With their many years of experience in teaching algorithms courses, Richard Johnsonbaugh and Marcus Schaefer include applications of algorithms, examples, end-of-section exercises, end-of-chapter exercises, solutions to selected exercises, and notes to help the reader understand and master algorithms.

Filling the void left by other algorithms books, Algorithms and Data Structures provides an approach that emphasizes design techniques. The volume includes application of algorithms, examples, end-of-section exercises, end-of-chapter exercises, hints and solutions to selected exercises, figures and notes to help the reader master the design and analysis of algorithms. This volume covers data structures, searching techniques, divided-and-conquer sorting and selection, greedy algorithms, dynamic programming, text searching, computational algebra, P and NP and parallel algorithms. For those interested in a better understanding of algorithms.

Cildorais
I was looking for an automated approach to finding an optimum run sequence through a changeover matrix. The programming examples gave me the elements I needed to experiment and then fine tune the approach for a working search algorithm. I found the book a good companion in my "voyage of discovery".
For me, the book works two levels, the basic pieces to "play with" are presented clearly in chapters 1 and 3, and practical implementation suggestions are spread throughout the text.
By developing programs in Visual Basic, experimenting with search parameters and re-reading sections of this book - I learned something new!
Bajinn
I took an AI class and bought this. The professor is very old-school and still uses overhead projectors and hands out paper notes instead of something like PDF.

The book is definitely dated here in 2013, but the ideas presented therein are valid. I would look elsewhere for a modern genetic algorithms book, though. Unless your professor is old-school and has textbooks older than you are.

The code examples are largely irrelevant: nobody uses Pascal anymore, not even for teaching. So if you want to play along and run the code you either need to locate an old 386 and CRT monitor, or translate the code into something that actually runs in this century.
Maximilianishe
Good book, explains many algorithms in more plain, easier to understand English than the Introduction to Algorithms by Cormen, Lieserson, Rivest, and Stein. Although it is different in the amount and focus of material. Both books used in conjunction is helpful.
Drelalen
This book absolutely delivers more than I ever wanted to know about genetic algorithms. Worth it just for the first few chapters.
Makaitist
We are using this book as a text in our Computer Science II course. Unfortunately, this is a somewhat difficult book to try and learn from. The descriptions are very dense, filled with many proofs, and little in the way of an explanation as to what an algorithm does, or what it's purpose is. In other words, rather than simply stating what an algorithm is used for and the general ideas behind it in a couple clear paragraphs, it spreads this information out between unclear and hard to follow proofs (that skip over important steps), using difficult language, and between multiple "failed attempts" which try to show how to arrive at the optimal way of implementing an algorithm without clearly stating so.

I want to state now that I spend a lot of time reading dense texts from other computer science books, to Microsoft documentation, to even some Wikipedia articles. While I can bear through this book, it is one of the more difficult things I've had to deal with. In my opinion, its worse than the level of perceived greatness from teachers, and practical uselessness to students as is found in many math books that can prove everything and explain almost nothing.

However, I have not had a chance to check out any other computer science texts, so perhaps as the last reviewer stated, this *IS* one of the better ones...

If you're a professor, before choosing this book, or any other really, try to see if it at least has clear explanations in addition to whatever else one might want. Because, as a student who often relies on the textbook for learning things, this one is near impossible.
Fordredor
I agree with another reviewer who said the book was unnecessarily long. Genetic Algorithms are a great programming tool, and there are some tips and tricks that can help your programs converge faster and more accurately, but this book had a lot of redundant information.

If you are interested in using GA for solution-finding, I doubt you'll find much useful in this book beyond the first chapter or so. Many of the examples later in the book were so specific that I couldn't see how they could be usefully generalized. Really optimizing a GA approach for a specific problem domain takes a fair amount of tuning, and this book won't help much with that.

I think time spent surfing siteseer or other publication sites would be better spent than reading this book.
Marige
THANK YOU
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