Newton Method: Data Interpolation

Related lectures (30)

Page 3 of 3

Covers revisions on calculus, derivation rules, interpolation, and tangent vectors.

Covers numerical methods for root finding, focusing on the secant and Newton's methods.

Introduces nonlinear equations and polynomial interpolation for curve fitting.

Covers the basics of Newton interpolation and interpolation polynomials using Lagrange and Newton methods.

Explores iterative methods for solving nonlinear equations, discussing convergence properties and implementation details.

Explores barycentric coordinates, interpolation, and basis functions in the context of linear systems.

Covers the application of functions defined by recurrence to sequences and the theorem of the fixed point.

Explores Lagrange interpolation, emphasizing uniqueness and simplicity in reconstructing functions from limited values.

Covers Lagrange interpolation, focusing on constructing polynomials that pass through given points.

Explores the benefits of deeper networks in deep learning and the importance of over-parameterization and generalization.