Non-linear least squares

Related lectures (30)

Explores the application of linear algebra in data science, covering variance reduction, model distribution theory, and maximum likelihood estimates.

Explores data approximation with non-linear curves using the least squares method in 2D and 3D spaces.

Covers polynomial interpolation and least-squares approximations to minimize errors.

Explores signal approximation, orthogonal bases, Fourier series, correlation, and vector geometry.

Explores interpolation applications in biological tissue and population census data analysis using the method of least squares.

Explores orthogonal projection in Euclidean space, emphasizing uniqueness and calculation methods.

Covers the factorization of a matrix and the least squares method.

Explores digital derivation, function evaluation, and polynomial approximations for accurate measurements and evaluations.

Explores subspaces, approximation problems, and least-squares approximation methods.

Covers non-convex optimization techniques and their applications in machine learning.

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