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Mastering Delphi Programming: A Complete Reference Guide

You're reading from   Mastering Delphi Programming: A Complete Reference Guide Learn all about building fast, scalable, and high performing applications with Delphi

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Product type Course
Published in Nov 2019
Publisher Packt
ISBN-13 9781838989118
Length 674 pages
Edition 1st Edition
Languages
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Author (1):
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Primož Gabrijelčič Primož Gabrijelčič
Author Profile Icon Primož Gabrijelčič
Primož Gabrijelčič
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Toc

Table of Contents (19) Chapters Close

Preface 1. About Performance FREE CHAPTER 2. Fixing the Algorithm 3. Fine-Tuning the Code 4. Memory Management 5. Getting Started with the Parallel World 6. Working with Parallel Tools 7. Exploring Parallel Practices 8. Using External Libraries 9. Introduction to Patterns 10. Singleton, Dependency Injection, Lazy Initialization, and Object Pool 11. Factory Method, Abstract Factory, Prototype, and Builder 12. Composite, Flyweight, Marker Interface, and Bridge 13. Adapter, Proxy, Decorator, and Facade 14. Nullable Value, Template Method, Command, and State 15. Iterator, Visitor, Observer, and Memento 16. Locking Patterns 17. Thread pool, Messaging, Future and Pipeline 18. Other Books You May Enjoy

Caching

Our good friend Mr. Smith has improved his programming skills considerably. Currently, he is learning about recursive functions and he programmed his first recursive piece of code. He wrote a simple seven-liner which calculates the nth element in the Fibonacci sequence:

function TfrmFibonacci.FibonacciRecursive(element: int64): int64;
begin
if element < 3 then
Result := 1
else
Result := FibonacciRecursive(element - 1) +
FibonacciRecursive(element - 2);
end;

I will not argue with him—if you look up the definition of a Fibonacci sequence it really looks like it could be perfectly solved with a recursive function.

A sequence of Fibonacci numbers, F, is defined with two simple rules:

  • First two numbers in the sequence are both 1 (F1 = 1, F2 = 1),

  • Every other number in the sequence is the sum of the preceding two (Fn = Fn-1 + Fn-2).

You will...

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