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
Derivative and Linear Approximation
Graph Chatbot
Related lectures (37)
Tangent to Graph of a Function
Explores finding the equation of the tangent line to a function's graph at a point.
Rolle's Theorem and Mean Value Theorem
Covers Rolle's Theorem and the Mean Value Theorem with illustrative examples.
Rolle's Theorem
MOOC: Analysis I
MOOC: Analysis I (part 5): Continuous and derivable functions, the derivative function
Explores Rolle's Theorem for continuous and differentiable functions on closed intervals.
Derivation Term by Term
MOOC: Analysis I
MOOC: Analysis I (part 6) : Study of functions, limited developments
Introduces the study of functions defined by power series and emphasizes the importance of separately considering boundary points.
Linear Approximation and Derivative Parametric
Covers linear approximation, parametric derivatives, and differentiability conditions on intervals.
Derivability of Reciprocal Function
MOOC: Analysis I
MOOC: Analysis I (part 5): Continuous and derivable functions, the derivative function
Covers the derivative of the reciprocal function and its properties.
Taylor Series: Derivatives and Integrals
Explores Taylor series expansions for derivatives and integrals, including practical applications.
Rolle's Theorem: Applications and Examples
Explores the practical applications of Rolle's Theorem in finding points where the derivative is zero.
Closed Intervals: Definitions and Remarks
MOOC: Analysis I
MOOC: Analysis I (part 5): Continuous and derivable functions, the derivative function
Explains definitions and remarks about closed intervals in functions.
Derivatives: Definition and Properties
Explores the definition and properties of derivatives, including slopes of tangent lines and differentiability conditions.
Optimality Conditions: Unconstrained
MOOC: Optimization: principles and algorithms - Unconstrained nonlinear optimization
Covers Fermat's theorem, necessary optimality conditions, convexity, and eigenvalue curvature in optimization.
Derivatives and Approximations: Logarithmic Functions
Explores derivatives and approximations, focusing on logarithmic functions and their properties.
Algebraic Operations on Limited Developments
Explores algebraic operations on limited developments and their consequences on differentiable functions, illustrated through examples.
Definition of Differentiable Functions
MOOC: Analysis I
MOOC: Analysis I (part 5): Continuous and derivable functions, the derivative function
Covers the definition of differentiable functions and explores the representation of the remainder in derivatives.
Chain Rules
Explores the extension of the chain rule to higher dimensions and compositions of functions.
Derivatives and Reciprocal Functions
Covers derivatives, reciprocal functions, Rolle's theorem, and extremum local concepts.
Existence of Limit Implies Continuity
MOOC: Analysis I
MOOC: Analysis I (part 5): Continuous and derivable functions, the derivative function
Explores the connection between limit existence and function continuity, emphasizing derivative properties and function graphs.
Differential Functions and Tangent Plan
Log in to Mediaspace to watch this video
Covers differentiable functions, derivatives, and tangent planes in mathematics.
Differential Calculus: Definition and Derivability
Log in to Mediaspace to watch this video
Explores the definition and derivability of functions in differential calculus, emphasizing differentiability at specific points.
Differentiability: Partial Derivatives and Hessiennes
Log in to Mediaspace to watch this video
Explains partial derivatives, Hessienne matrix, and their properties.
Previous
Page 1 of 2
Next