Monomial basis

Related lectures (24)

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Covers the basics of linear algebra, including linear maps, bases, and matrix operations.

Explores Generalized Additive Models, covering basics, smooth functions, penalties, practical examples in R, and linear mixed models.

Explores eigenvalues and eigenvectors in 3D linear algebra, covering characteristic polynomials, stability under transformations, and real roots.

Covers the method of diagonalization for determining if a non-square matrix A is diagonalizable.

Covers linear applications, matrices, transformations, and the principle of superposition.

Covers solution methods for linear differential equations of second order with constant coefficients.

Covers the classification of comport p-adic fields using integration and Igusa's local zeta functions.

Covers diagonalization of matrices, eigenvectors, linear maps, and least squares method.

Covers polynomial interpolation, equidistant points, and Lagrange basis in interpolation techniques.

Introduces derivatives, trigonometry, and motion principles through basic and trigonometric functions differentiation.