苹果淫院

Updated: Mon, 10/07/2024 - 21:42

From Saturday, Oct. 5 through Tuesday, Oct. 8, the Downtown and Macdonald Campuses will be open only to 苹果淫院 students, employees and essential visitors. Many classes will be held online. Remote work required where possible. See Campus Public Safety website for details.

Du samedi 5 octobre au mardi 8 octobre, le campus du centre-ville et le campus Macdonald ne seront accessibles qu鈥檃ux 茅tudiants et aux membres du personnel de l鈥橴niversit茅 苹果淫院, ainsi qu鈥檃ux visiteurs essentiels. De nombreux cours auront lieu en ligne. Le personnel devra travailler 脿 distance, si possible. Voir le site Web de la Direction de la protection et de la pr茅vention pour plus de d茅tails.

苹果淫院.ca / Vue d'ensemble / All Courses

CENG 112 Introduction to Engineering Design Optimization (2.4 unit茅s d'EP)

important

Nota : Ceci est la version 2017鈥�2018 de l'annuaire 茅lectronique. Veuillez mettre 脿 jour l'ann茅e dans la barre d'adresse de votre navigateur pour une version plus r茅cente de cette page, ou .

Offered by: Fac Partner & Summer Studies (脡cole d'茅ducation permanente)

Vue d'ensemble

G茅nie (CCE) : Systems modeling and optimization: Basic modeling concepts, parametrization, data fit, design space sampling, mathematical problem formulation (linear and nonlinear), monotonicity and boundedness, constraint activity. Unconstrained optimization problems: Function approximation, optimality conditions, convexity, line search, gradient-based methods, Newton method. Constrained optimization problems: Feasibility, Lagrange multipliers, generalized reduced gradient method, Karush-KuhnTucker (KKT) conditions. Algorithms and software: Global and local convergence terminology and properties, termination criteria, scaling, commercial tools (Matlab optimization toolbox), derivative-free algorithms (search methods and genetic algorithms).

Terms: This course is not scheduled for the 2017-2018 academic year.

Instructors: There are no professors associated with this course for the 2017-2018 academic year.

  • 15 hours of classroom instruction, 9 hours of additional work (project). Some basic understanding of calculus and linear algebra as well as programming and computer skills (e.g. Matlab) is helpful, but is not required as the course module will introduce and review all necessary concepts.

Back to top