Lecture

Implicit Functions

Related lectures (34)
Optimization Techniques
Covers optimization techniques and their application in solving real-world problems.
Hessian Matrix
Covers the concept of the Hessian matrix and its role in optimization problems.
Implicit Functions
Covers directional derivatives, implicit functions, and the concept of the maximum.
Partial Derivatives
Covers the concept of partial derivatives and properties of saddle points.
Derivatives and Continuity in Multivariable Functions
Covers derivatives and continuity in multivariable functions, emphasizing the importance of partial derivatives.
Derivability Conditions
Explores conditions for non-differentiability in multivariable calculus and the implications of the differentiability theorem.
Directional Derivatives
Explores directional derivatives in two-variable functions and extremum points.
Geometric Interpretation of Derivatives
Explores the geometric interpretation of derivatives and properties of derivable functions.
Functions: Multivariable Functions and Exact Differentials
Explores functions as a function of time and space, differentiation of multivariable functions, exact differentials, and gradients.
Functions with Multiple Variables
Covers functions with values in R^m, discussing limits, partial derivatives, and differentiability.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.