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Lecture
Differentiable Functions: Derivatives and Approximations
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Related lectures (48)
Derivatives and Continuity in Multivariable Functions
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Covers derivatives and continuity in multivariable functions, emphasizing the importance of partial derivatives.
Differentiability of Functions of Several Variables
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Covers the differentiability of functions of multiple variables and the significance of directional derivatives and gradients.
Taylor Polynomials: Calculating Limits and Derivatives
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Covers the calculation of Taylor polynomials and their applications in limits and derivatives of functions from R² to R.
Taylor Development: Higher Derivatives
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Covers the calculation of Taylor polynomials, higher derivatives, and Taylor series using examples.
Derivatives: Definition and Examples
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Covers the definition of derivatives and provides examples of differentiable functions.
Differentiable Functions and Lagrange Multipliers
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Covers differentiable functions, extreme points, and the Lagrange multiplier method for optimization.
Higher Derivatives, Taylor Introduction
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Introduces higher derivatives and the Taylor development, illustrating examples and discussing the uniqueness of the Taylor polynomial.
The Increment Theorem: Understanding Derivatives
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Explores the increment theorem and derivatives in calculus, focusing on polygonal valleys and curve traces.
Implicit functions theorem
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Explores the implicit functions theorem, showcasing examples of implicit differentiation and function definition.
Functions: Multivariable Functions and Exact Differentials
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Explores functions as a function of time and space, differentiation of multivariable functions, exact differentials, and gradients.
Differentiability and Tangent Planes
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Covers differentiability in multivariable functions, focusing on tangent planes and their properties.
Functions of Class C^p
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Explores functions of class C^p, emphasizing continuity and differentiability properties.
Computing Derivatives: Derivatives and Algebraic Operations
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Covers the computation of derivatives and the properties of differentiable functions.
Taylor Polynomials: Orders 1 and 2
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Explores Taylor polynomials of orders 1 and 2 for linear function approximation around a point.
Differentiability Analysis
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Explores differentiability, partial derivatives, Schwarz's theorem, and function continuity in mathematical analysis.
Optimization Techniques: Local and Global Extrema
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Discusses optimization techniques, focusing on local and global extrema in functions.
Partial Derivatives and Gradient
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Covers the definitions and properties of partial derivatives and gradients in mathematical contexts.
Advanced Analysis II: Multi-Index and Taylor Formula
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Explores multi-index, Taylor formula, partial derivatives, and remainders estimation in Taylor series.
Analytical Real Functions
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Explores analytical real functions, focusing on series expansion and properties of u(x) in different neighborhoods.
Differentiation and Coordinate Changes in Multivariable Functions
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Discusses differentiation of multivariable functions and coordinate transformations, including polar and cylindrical coordinates, along with the Laplacian operator and its applications.
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