From Mathematics to Generic Programming
From Mathematics to Generic Programming
From Mathematics to Generic Programming
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From Mathematics to Generic Programming
From Mathematics to Generic Programming
From Mathematics to Generic Programming
Write code that is both simpler and more powerful
From Mathematics to Generic Programming
Č. položky: 226093108

From Mathematics to Generic Programming

86% of respondents would recommend this to a friend

Č. položky: 226093108

€ 58

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What Stands Out

Comprehensive Approach
Integrates mathematical concepts into generic programming seamlessly, enhancing understanding and application among developers across various expertise levels.
Real-World Examples
Offers practical scenarios and coding examples, helping users grasp theoretical concepts through applicable solutions in modern programming challenges.
Skill Development
Focuses on building critical programming skills, empowering users to create efficient, maintainable code leveraging principles from both mathematics and generic programming.

Detaily produktu

Shop From Mathematics to Generic Programming online at a best price in Slovakia. 0321942043
  • In this substantive yet accessible book, pioneering software designer Alexander Stepanov and his colleague Daniel Rose illuminate the principles of generic programming and the mathematical concept of abstraction on which it is based, helping you write code that is both simpler and more powerful.If you’re a reasonably proficient programmer who can think logically, you have all the background you’ll need. Stepanov and Rose introduce the relevant abstract algebra and number theory with exceptional clarity. They carefully explain the problems mathematicians first needed to solve, and then show how these mathematical solutions translate to generic programming and the creation of more effective and elegant code. To demonstrate the crucial role these mathematical principles play in many modern applications, the authors show how to use these results and generalized algorithms to implement a real-world public-key cryptosystem.As you read this book, you’ll master the thought processes necessary for effective programming and learn how to generalize narrowly conceived algorithms to widen their usefulness without losing efficiency. You’ll also gain deep insight into the value of mathematics to programming―insight that will prove invaluable no matter what programming languages and paradigms you use.You will learn about How to generalize a four thousand-year-old algorithm, demonstrating indispensable lessons about clarity and efficiency Ancient paradoxes, beautiful theorems, and the productive tension between continuous and discrete A simple algorithm for finding greatest common divisor (GCD) and modern abstractions that build on it Powerful mathematical approaches to abstraction How abstract algebra provides the idea at the heart of generic programming Axioms, proofs, theories, and models: using mathematical techniques to organize knowledge about your algorithms and data structures Surprising subtleties of simple programming tasks and what you can learn from them How practical implementations can exploit theoretical knowledge
Publisher Addison-Wesley Professional
Publication date 13 Sept. 2011
Edition 1st
Language English
Print length 310 pages
ISBN-10 0321942043
ISBN-13 978-0321942043
Item weight 426 g
Dimensions 17.78 x 1.78 x 22.86 cm

Who Should Buy?

Suitable For
  • Mathematics Enthusiasts

    Those interested in deepening their understanding of the connections between mathematics and programming concepts will find this beneficial.

  • Software Developers

    Developers looking to enhance their programming skills through mathematical concepts and generic programming will greatly benefit from this resource.

  • Computer Science Students

    Students in computer science aiming to improve their understanding of generic programming using mathematical principles will find this useful.

Not Suitable For
  • Beginner Programmers

    Users with minimal programming experience may struggle with the advanced concepts presented in this resource without foundational knowledge.

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    odpoveď: Nakupovať From Mathematics to Generic Programming online z Ubuy je jednoduché.. Musíte len vyhľadať produkt, vybrať spôsob dopravy pri pokladni a nechať si ho doručiť na miesto, kde sa nachádzate.
  • otázka: Je From Mathematics to Generic Programming k dispozícii na online nakupovanie v Slovakia?

    odpoveď: Áno, v Ubuy Slovakia máte tento produkt k dispozícii na nákup za rozumnú cenu.. From Mathematics to Generic Programming nie je k dispozícii lokálne, ale môžete nám dôverovať s našimi expresnými prepravnými službami.
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Design Patterns Editorial Review

From Mathematics To Generic Programming is a fascinating journey through mathematical history, showcasing key developments that enhance both enjoyment and education. This book reflects on how theoretical concepts can be translated into effective algorithms, paralleling the groundbreaking impact of the Standard Template Library in programming. Readers appreciate its dense yet readable style, with short, well-explained code examples among the 310 pages. While it primarily serves those with a passion for mathematics, it may challenge those looking strictly for programming insights. The book hints at an accessible entry point for proficient programmers but may require some mathematical background to navigate its depth effectively.

Customer Reviews & Ratings

4.5
140 hodnotenia zákazníkov
  • 5 hviezda
    68%
  • 4 hviezda
    23%
  • 3 hviezda
    6%
  • 2 hviezda
    2%
  • 1 hviezda
    1%

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Pros

  • Rich historical context of mathematics
  • Short, clear code examples provided
  • Dense material packed with insights
  • Readable despite the complexity
  • Challenging yet informative for mathematicians

Zápory

  • May not meet expectations for pure coding insights

Product Price History

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€ 58

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Funkcie a výhody

  • Learn how to generalize algorithms
  • Gain deep insight into the value of mathematics to programming
  • Discover powerful mathematical approaches to abstraction
  • Use mathematical techniques to organize knowledge about your algorithms and data structures
  • Learn from surprising subtleties of simple programming tasks
  • Exploit theoretical knowledge in practical implementations

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