Introduction to algorithms in pascal

Pascal - a new introduction to computer science

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Introduction to algorithms in bioinformatics

Introduction to Randomized Algorithms

There are two principal advantages to randomized algorithms. The first advantage is performance; randomized algorithms run faster than the best-known deterministic algorithms for many problems. The second advantage is that many randomized algorithms are simpler to describe and implement than deterministic algorithms of comparable performance. There are general principles that lie at the heart o...

Introduction to genetic algorithms

Introduction to Genetic Algorithms. Physics, Biology, Economy or Sociology often have to deal with the classical problem of optimization. Economy particularly has become specialist of that field1. Generally speaking, a large part of mathematical development during the XVIIIth century dealt with that topic (remember those always repeated problems where you had to obtain the derivative of a funct...

Introduction to Approximation Algorithms

To date, thousands of natural optimization problems have been shown to be NP-hard [8, 18]. To deal with these problems, two approaches are commonly adopted: (a) approximation algorithms, (b) randomized algorithms. Roughly speaking, approximation algorithms aim to find solutions whose costs are as close to be optimal as possible in polynomial time. Randomized algorithms can be looked at from dif...