May 2022
Beginner to intermediate
448 pages
11h 39m
English
Content preview from Algorithms For Dummies, 2nd Edition
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Chapter 17
Using Randomized Algorithms
IN THIS CHAPTER
Understanding how randomness can prove smarter than more reasoned ways
Introducing key ideas about probability and its distributions
Discovering how a Monte Carlo simulation works
Learning about quick select and revisiting quick sort algorithms
Random number generators are a key function in computing and play an important role in the algorithmic techniques discussed in this part of the book. As described in the first part of the chapter, randomization isn’t just for gaming or gambling; people also employ it to solve a large variety of problems. Randomization sometimes proves more effective during optimization than other techniques, and in obtaining the right solution than more reasoned ways. It helps different techniques work better, for example local search, simulated annealing to heuristics, cryptography, and distributed computing (with cryptography for concealing information being the most critical).
The “Understanding how probability works” section illustrates the basic principles of probability and then explains how probability ...
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