Overview

1.1 Pourquoi des techniques de simulation? Les methodes de simulation, concues pour etre utilisees en statistique et en recherche operationnelle, ont connu et connaissent encore un developpement rapide du a l'extraordinaire evolution des ordinateurs. Des applications se r- contrenttantdans l'industriequ'eneconomie, ouencoreensciencessociales, en physique des particules, en astronomie et dans de nombreux autres domaines. Dans beaucoup de situations, que ce soit de la vie courante ou dans la - cherchescienti?que, lechercheurestconfronteadesproblemesdontilrecherche des solutions sur la base de certaines hypotheses et contraintes de depart. Pour resoudre ce type de probleme, il existe des methodes analytiques applicables a des situations ou le modele permet de traiter les di?erentes variables par des equations mathematiquement maniables, et des methodes numeriques ou la complexite du modele impose un morcellement du probleme, notamment par l'identi?cation des di?erentes variables qui entrent en jeu et l'etude de leurs interactions. Cette derniere approche s'accompagne souvent d'une importante massedecalculs.Lestechniquesdesimulationsontdestechniques numeriques: simuler un phenomene signi?e essentiellement reconstituer de facon ?ctive son evolution. Apres un bref apercu historique sur l'evolution du concept de hasard et de sonusageatraverslessiecles, leParagraphe1.3presentelaproblematiquedela simulationest presenteedans toutesa generalitesous ses di?erents aspects.Les paragraphes suivants montrent des exemples ou des techniques de simulation peuvent etre appliquees.

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9782287794933

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From the reviews: This textbook is an introduction to simulation techniques. The textbook is devoted to nonspecialists mathematicians having no deep knowledge of statistics, engineers, computer scientists, etc. (Vigirdas Mackevi ius, Zentralblatt MATH, Vol. 1172, 2009) From the reviews: This textbook is an introduction to simulation techniques. ... The textbook is devoted to nonspecialists mathematicians having no deep knowledge of statistics, engineers, computer scientists, etc. (Vigirdas Mackevicius, Zentralblatt MATH, Vol. 1172, 2009) From the reviews: This textbook is an introduction to simulation techniques. The textbook is devoted to nonspecialists mathematicians having no deep knowledge of statistics, engineers, computer scientists, etc. (Vigirdas Mackevi ius, Zentralblatt MATH, Vol. 1172, 2009) From the reviews: This textbook is an introduction to simulation techniques. The textbook is devoted to nonspecialists mathematicians having no deep knowledge of statistics, engineers, computer scientists, etc. (Vigirdas Mackevi ius, Zentralblatt MATH, Vol. 1172, 2009)

From the reviews: </p> This textbook is an introduction to simulation techniques. The textbook is devoted to nonspecialists mathematicians having no deep knowledge of statistics, engineers, computer scientists, etc. (Vigirdas Mackevi ius, Zentralblatt MATH, Vol. 1172, 2009)

<p>From the reviews: This textbook is an introduction to simulation techniques. The textbook is devoted to nonspecialists mathematicians having no deep knowledge of statistics, engineers, computer scientists, etc. (Vigirdas Mackevi?ius, Zentralblatt MATH, Vol. 1172, 2009)

From the reviews: This textbook is an introduction to simulation techniques. The textbook is devoted to nonspecialists mathematicians having no deep knowledge of statistics, engineers, computer scientists, etc. (Vigirdas Mackevi ius, Zentralblatt MATH, Vol. 1172, 2009)

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