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Lecture
Interpolation of Functions
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Related lectures (30)
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Universal Approximation Theorem: MLP
Covers Multi-Layer Perceptrons (MLP) and their application from classification to regression, including the Universal Approximation Theorem and challenges with gradients.
Taylor Polynomial: Order 2
Presents the solution to finding the second-order Taylor polynomial of a function.
Taylor Polynomial in Two Variables
Covers the Taylor polynomial in two variables and the concept of extrema in functions of several variables.
Piecewise Linear Interpolation
Covers the concept of piecewise linear interpolation and the importance of dividing intervals correctly.
Functions and Periodicity
Covers functions, including even and odd functions, periodicity, and function operations.
Functions and Derivatives
Explores continuity, differentiability, boundedness, and extrema of functions in multiple variables.
Numerical analysis
Covers advanced numerical analysis topics including deep neural networks and optimization methods.
Understanding Microcontrollers: Functions
Introduces the fundamentals of functions in microcontroller programming, emphasizing naming rules and step-by-step development.
Polynomial Interpolation: Lagrange Method
Covers the Lagrange polynomial interpolation method and error analysis in function approximation.
Numerical Analysis: Introduction to Interpolation Techniques
Covers the basics of numerical analysis, focusing on interpolation methods and their applications in engineering.
