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ePub Algorithms and Programming: Problems and Solutions download

by Alexander Shen

ePub Algorithms and Programming: Problems and Solutions download
Author:
Alexander Shen
ISBN13:
978-0817638474
ISBN:
0817638474
Language:
Publisher:
Birkhäuser Boston; 1 edition (November 1, 1996)
Category:
Subcategory:
Programming
ePub file:
1894 kb
Fb2 file:
1693 kb
Other formats:
mobi lrf txt azw
Rating:
4.3
Votes:
420

This book contains a collection of problems and their solutions I simply love it: good content, a fairly rich set of algorithmic problems and not too much redundant information.

This book contains a collection of problems and their solutions. I simply love it: good content, a fairly rich set of algorithmic problems and not too much redundant information. The only drawback I see is the poor text formatting; it feels like an old book, not too many graphics, but mostly text; to me this is not a reason not to give it 5 starts, but it's worth mentioning for those who consider the visual aspect an important criterion.

That book doesn't contain pure algorithms theory (like Kormen's or Skiena's book), but problems (and most of them are with solutions). Every chapter starts with the simple problem, followed by some discussions of possible solutions, and after more and more challenging tasks ends with pretty tricky problems. The book (in my opinion) is really very practical (well, it contains some theory, but not very formal) and is invaluable for those who are preparing to the programming contests or e interviews.

Algorithms and Programming" is primarily intended for a first year undergraduate course in programming

Algorithms and Programming" is primarily intended for a first year undergraduate course in programming. Structured in a problem-solution format, the text motivates the student to think through the programming process, thus developing a firm understanding of the underlying theory. Although a moderate familiarity with programming is assumed, the book is easily utilized by students new to computer science. The more advanced chapters make the book useful for a graduate course in the analysis of algorithms and/or compiler construction.

Algorithms and Programming" is primarily intended for a first year undergraduate course in programming

Algorithms and Programming" is primarily intended for a first year undergraduate course in programming.

Problems and Solutions. Authors: Shen, Alexander. Good undergraduate introduction to programming course, especially one which is mathematically motivated. May also be used as a textbook in a graduate course on the analysis of algorithms and/or compiler construction. The "problem and solution" style makes the reader think through the programming process, making the book ideal for students in the classroom setting or for self study.

Algorithms and programming Shen, Alexander Springer 9780817647605 : This book is primarily intended for a. .It is structured in a problem-solution format that requires the student to think through the programming process, thus developing an understanding of the underlying theory.

Algorithms and programming Shen, Alexander Springer 9780817647605 : This book is primarily intended for a first-year undergraduate course in programming. It is structured in a problem-solution. Автор: Langtangen Hans Petter Название: A Primer on Scientific Programming with Python ISBN: 3662498863 ISBN-13(EAN): 9783662498866 Издательство: Springer Рейтинг

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oceedings{, title {Algorithms and programming - problems and solutions}, author {Alexander Shen}, year {1996} }. Alexander Shen

oceedings{, title {Algorithms and programming - problems and solutions}, author {Alexander Shen}, year {1996} }. Alexander Shen. Algorithms and Programmingis primarily intended for a first-year undergraduate course in programming.

This text is structured in a problem-solution format that requires the student to think through the programming process. Скачать с помощью Mediaget.

Algorithms describe the solution to a problem in terms of the data needed to represent the problem instance and the set of steps . The difficulty that often arises for us is the fact that problems and their solutions are very complex.

Algorithms describe the solution to a problem in terms of the data needed to represent the problem instance and the set of steps necessary to produce the intended result.

Algorithms and Programming is primarily intended for a first year undergraduate course in programming. It is structured in a problem-solution format that requires the student to think through the programming process, thus developing an understanding of the underlying theory. Although the author assumes some moderate familiarity with programming constructs, the book is easily readable by a student taking a basic introductory course in computer science. In addition, the more advanced chapters make the book useful for a course at the graduate level in the analysis of algorithms and/or compiler construction.Each chapter is more or less independent, containing classical and well-known problems supplemented by clear and in-depth explanations. While program examples are written in Pascal, any other procedural language (e.g., Modula, Oberon, C) may be used instead. Problems at all different levels progress in difficulty. Some problems are somewhat loosely connected to one another, and others are devoted to one specific algorithm (e.g., section on LR-parsing).The material covered includes such topics as combinatorics, sorting, searching, queues, grammar and parsing, selected well-known algorithms, and much more. Students and teachers will find this both an excellent text for learning programming and a source of problems for a variety of courses.
  • the book seems to have slight to negligible explanations to how the programs solutions really works.
    my feeling was that this book is the lab book of a textbook meaning it can't stand alone...or the assuming the reader is fluent already.
    like some other reviewer said it is the perfect book on algorithms interviews...again meaning that you must know the subject before hand.
    i'll keep it though.

  • I simply love it: good content, a fairly rich set of algorithmic problems and not too much redundant information.
    The only drawback I see is the poor text formatting; it feels like an old book, not too many graphics, but mostly text; to me this is not a reason not to give it 5 starts, but it's worth mentioning for those who consider the visual aspect an important criterion.

  • That book doesn't contain pure algorithms theory (like Kormen's or Skiena's book), but problems (and most of them are with solutions). Every chapter starts with the simple problem, followed by some discussions of possible solutions, and after more and more challenging tasks ends with pretty tricky problems.
    The book (in my opinion) is really very practical (well, it contains some theory, but not very formal) and is invaluable for those who are preparing to the programming contests or Google/Microsoft-like interviews.