Optimization: principles and algorithms - Unconstrained nonlinear optimization
About this Course
Introduction to unconstrained nonlinear optimization, Newton’s algorithms and descent methods.Created by: École polytechnique fédérale de Lausanne
Level: Introductory

Related Online Courses
Une suite de nombres réels est une fonction f:N→R . Il est habituel d'écrire an:=f(n) pour la valeur de f en n. Par exemple, on pourrait définir une suite f(n):=an:=12n, c'est-à-dire a0=1,... more
Nous arrivons au cœur du sujet de notre discussion sur les fonctions : le concept de la dérivabilité d'une fonction. Nous nous intéressons en particulier à la question de la continuité des fonct... more
Systems of equations live at the heart of linear algebra. In this course you will explore fundamental concepts by exploring definitions and theorems that give a basis for this subject. At the start... more
This course by Imperial College London is designed to help you develop the skills you need to succeed in your A-level further maths exams. You will investigate key topic areas to gain a deeper... more
Advanced Statistical Inference and Modelling Using R is part two of the Statistical Analysis in R professional certificate. This course is directed at people who are already familiar with basic... more