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Au cours des dernieres annees, les algorithmes stochastiques se sont beaucoup developpes tant sur le plan de l’analyse mathematique que vers diverses applications: automatique, images, neurones, statistique… Ce livre presente les divers types d’algorithmes stochastiques, illustres par des exemples: algorithmes a pas decroissants, algorithmes markoviens, recuit simule. Un large panorama des outils mathematiques requis et de leurs progres recents est explore. Ingenieurs a la recherche d’un eclairage mathematique sur leur pratique et mathematiciens interesses par un terrain ou les problemes ouverts restent nombreux decouvriront la variete et l’actualite de ce sujet. Mais ce livre est avant tout destine a attirer vers ce domaine quelques apprentis chercheurs.
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