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Lecture
Supporting hyperplanes
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Related lectures (29)
Supporting Hyperplanes
Explores supporting hyperplanes for approximating function graphs in higher dimensions through normal vectors and linear approximations.
Osculating Planes and Parameterized Curves
Covers the concept of osculating planes and parameterized curves, discussing the speed of points and linear independence.
Tangent to Graph of a Function
Explores finding the equation of the tangent line to a function's graph at a point.
Differential and Tangent Plan
Explores differentiable functions, gradients, and tangent planes in two-variable functions.
Differentiable Functions: Definitions and Interpretation
Covers the definitions of differentiable and derivable functions and their geometric interpretation.
Differentiability and Tangent Planes
Explores differentiability in functions and geometric interpretation of tangent planes.
Taylor Series: Derivatives and Integrals
Explores Taylor series expansions for derivatives and integrals, including practical applications.
Functions and Coordinate Changes
Explores bijective functions, coordinate transformations, and graphical representations in two dimensions.
Differentiable Functions: Definitions and Properties
Covers the definition and properties of differentiable functions, focusing on differentiability, limits, continuity, and partial derivatives.
Differential Functions and Tangent Plan
Covers differentiable functions, derivatives, and tangent planes in mathematics.
Derivatives and Approximations: Logarithmic Functions
Explores derivatives and approximations, focusing on logarithmic functions and their properties.
Differentiable Functions: Derivatives and Approximations
Explores derivatives, Hessians, and Taylor approximations for differentiable functions.
Tangent Planes and Derivatives
Explores directional derivatives, tangent planes, and normal vectors in surfaces.
Advanced Analysis II: Differentiable Functions
Explores differentiable functions, Taylor approximations, and directional derivatives in open sets.
Linear Approximation and Derivative Parametric
Covers linear approximation, parametric derivatives, and differentiability conditions on intervals.
Local Inversion Theorem
Explores the Local Inversion Theorem and extremum points in functions.
Faster and Projected Gradient Descent: Optimization Techniques
Discusses advanced optimization techniques, focusing on faster and projected gradient descent methods in machine learning.
Differentiable Functions in R²
Explores differentiable functions in R², including vector fields and coordinate transformations.
Algebraic Operations on Derivatives
Explores algebraic operations for derivatives, including addition, multiplication, and composition of functions on an interval.
Differentiability and Tangent Planes in Multivariable Functions
Explains differentiability in multivariable functions and the geometric interpretation of tangent planes.
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