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Hands-On High Performance Programming with Qt 5

You're reading from   Hands-On High Performance Programming with Qt 5 Build cross-platform applications using concurrency, parallel programming, and memory management

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789531244
Length 384 pages
Edition 1st Edition
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Author (1):
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Marek Krajewski Marek Krajewski
Author Profile Icon Marek Krajewski
Marek Krajewski
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Table of Contents (14) Chapters Close

Preface 1. Understanding Performant Programs 2. Profiling to Find Bottlenecks FREE CHAPTER 3. Deep Dive into C++ and Performance 4. Using Data Structures and Algorithms Efficiently 5. An In-Depth Guide to Concurrency and Multithreading 6. Performance Failures and How to Overcome Them 7. Understanding I/O Performance and Overcoming Related Problems 8. Optimizing Graphical Performance 9. Optimizing Network Performance 10. Qt Performance on Embedded and Mobile Platforms 11. Testing and Deploying Qt Applications 12. Assessments 13. Other Books You May Enjoy

Optimizing with algorithms and data structures

We have learned much about Qt classes and their pitfalls and a couple of techniques for working with strings. But it is always said that the choice of algorithms is the most important part for influencing performance. We will try to give some more high-level advice on that to wrap up for this chapter.

Optimizing with algorithms

The basic rule for optimizing your algorithm could be stated as, "Don't repeat yourself," or rather, "Don't repeat computations." You can do it in several ways, for example by:

  • Omitting work using knowledge about the structure of the problem: For example, divide a task into subtasks and combine the results.

When you are doing...

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