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High-High-PPerformanceerformance
Optimization MethodsOptimization Methods
Roberto Sepúlveda,* Oscar Montiel, Daniel Gutiérrez,
Jorge Nuñez and Andrés Cuevas
ABSTRACT
In this chapter, we will provide the reader with the basic mathematic
knowledge about optimization with the aim to illustrate how classical
iterative optimization algorithms such as those based in gradient
descendent methods and Newton ’s method, as well as global
optimization algorithms, in this case a Memetic Algorithm , can be
programmed in parallel to take advantage of the technology to improve
the performance of the mentioned algorithms. To illustrate the benefi ts
of parallelizing, ...