DEUG-EXOS suggest, aux étudiants des Deug de sciences (mentions MIAS, SM), une série d'ouvrages, couvrant l'intégralité de leurs programmes.
Construit pour accompagner le cours en fournissant des exemples illustratifs et des exercices pour aider à son assimilation, chaque fascicule se compose de quatre events :
- À savoir rassemble les définitions et les résultats utiles aux exercices.
- Pour voir présente des exemples développés sur l. a. totalité des définitions et des résultats.
- Pour comprendre et utiliser regroupe des énoncés d'exercices, suivis des corrigés entièrement rédigés et accompagnés de questions complémentaires pour approfondir ou élargir sa réflexion.
- Pour chercher rassemble des symptoms, des méthodes et un lexique.
By Ivan S. Sokolnikoff
By Slawomir Koziel, Leifur Leifsson, Xin-She Yang
This edited quantity is dedicated to the now-ubiquitous use of computational versions throughout such a lot disciplines of engineering and technology, led by way of a trio of world-renowned researchers within the box. considering fresh advances of modeling and optimization suggestions aimed toward dealing with computationally-expensive engineering difficulties concerning simulation types, this ebook could be a useful source for experts (engineers, researchers, graduate scholars) operating in parts as diversified as electric engineering, mechanical and structural engineering, civil engineering, business engineering, hydrodynamics, aerospace engineering, microwave and antenna engineering, ocean technology and weather modeling, and the car undefined, the place layout tactics are seriously according to CPU-heavy desktop simulations. a variety of strategies, equivalent to knowledge-based optimization, adjoint sensitivity ideas, and quick substitute versions (to identify quite a few) are explored in-depth in addition to an array of the newest concepts to optimize the potency of the simulation-driven layout process.
High-fidelity simulation types let for exact reviews of the units and structures, that's severe within the layout strategy, particularly to prevent high priced prototyping levels. regardless of this and different benefits, using simulation instruments within the layout technique is kind of tough because of linked excessive computational price. The regular elevate of obtainable computational assets doesn't continuously translate into the shortening of the layout cycle as a result of the turning out to be call for for better accuracy and necessity to simulate better and extra advanced platforms. hence, automatic simulation-driven design—while hugely desirable—is tricky whilst utilizing traditional numerical optimization workouts which more often than not require quite a few method simulations, every one already expensive.
By Esther Harris. Highland, Harold Joseph, Highland
By Peter Gates, Robyn Jorgensen (Zevenbergen)
Professor Stephen Lerman has been a pacesetter within the box of arithmetic schooling for thirty years. His paintings is wide, making many major contributions to a couple of key parts of study. Stephen retired from South financial institution college in 2012, the place he had labored for over two decades, even though he keeps to paintings at Loughborough collage. during this e-book a number of of his lengthy status colleagues and collaborators consider his contribution to arithmetic schooling, and in so doing illustrate how a few of Steve’s rules and interventions have led to major shifts within the domain.
By J. Warga
By Elisabeth Hébert (ed.)
By J. B. Rosen, O. L. Mangasarian, K. Ritter
This reprint of the 1969 publication of an identical identify is a concise, rigorous, but available, account of the basics of restricted optimization conception. Many difficulties coming up in different fields corresponding to desktop studying, drugs, chemical engineering, structural layout, and airline scheduling might be lowered to a limited optimization challenge. This booklet presents readers with the basics had to learn and resolve such difficulties. starting with a bankruptcy on linear inequalities and theorems of the choice, fundamentals of convex units and separation theorems are then derived in keeping with those theorems. this can be via a bankruptcy on convex capabilities that incorporates theorems of the choice for such services. those effects are utilized in acquiring the saddlepoint optimality stipulations of nonlinear programming with no differentiability assumptions.