Skip to main content
Graph
Search
fr
en
Login
Search
All
Categories
Concepts
Courses
Lectures
MOOCs
People
Quizes
Exercises
Publications
Startups
Units
Show all results for
Home
Lecture
Partial Differentiation
Graph Chatbot
Related lectures (35)
Linear Properties of Gradients
Explores the linear properties of gradients and the importance of understanding scalar products and Jacobian matrices.
Partial Differentiation
Explores the process of partial differentiation through various examples in two dimensions, emphasizing the importance of treating each variable separately.
Gradient Existence in R2
Explores the existence of the gradient in R2 and its implications on derivability and directional derivatives.
Second Order Approximations: The Hessian Matrix
Explores second order approximations for twice differentiable functions using the Hessian matrix.
Differential Calculus: Applications and Reminders
Covers differential calculus applications and reminders, emphasizing the importance of differentiability in mathematical analysis.
Partial Derivatives: Matrices and Local Extrema
Covers hessian matrices, positive definite matrices, and local extrema of functions.
Eigenvalues and Optimization: Numerical Analysis Techniques
Discusses eigenvalues, their calculation methods, and their applications in optimization and numerical analysis.
Differentiability and Hessians
Explores functions of class C^p, Hessian matrices, and methods to verify differentiability at a point.
Differential Functions: Derivability and Gradient
Explores differentiability in functions and the role of gradients in directional derivatives.
Differentiability: Theorem and Mean Value Theorem
Explores differentiability, gradients, and the Mean Value Theorem in open sets.
Differentiability: Theorem and Mean Value Theorem
Explores differentiability, gradients, and the Mean Value Theorem for functions.
Objective function, Differentiability, The second order
MOOC: Optimization: principles and algorithms - Unconstrained nonlinear optimization
Explores the role of first and second derivatives in function curvature and convexity.
Differentiability: Partial Derivatives and Hessiennes
Log in to Mediaspace to watch this video
Explains partial derivatives, Hessienne matrix, and their properties.
Partial Derivatives and Matrix Hessians
Log in to Mediaspace to watch this video
Covers partial derivatives, Hessian matrices, and their importance for functions with multiple variables.
Mechanics: Introduction and Calculus
Log in to Mediaspace to watch this video
Introduces mechanics, differential and vector calculus, and historical perspectives from Aristotle to Newton.
Differentiability of Functions of Several Variables
Log in to Mediaspace to watch this video
Covers the differentiability of functions of multiple variables and the significance of directional derivatives and gradients.
Differentiability Analysis
Log in to Mediaspace to watch this video
Explores differentiability, partial derivatives, Schwarz's theorem, and function continuity in mathematical analysis.
Partial Derivatives and Functions
Log in to Mediaspace to watch this video
Explores partial derivatives and functions in multivariable calculus, emphasizing their importance and practical applications.
Derivatives and Differential Equations
Log in to Mediaspace to watch this video
Covers trigonometric functions, derivatives, differential equations, and vector properties.
Metric Tensor: Definition
Log in to Mediaspace to watch this video
Explores the definition and properties of the metric tensor, enabling control of geometric quantities and lengths.
Previous
Page 1 of 2
Next