Affine combination

Related lectures (30)

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Covers the theory and applications of bilinear forms in various mathematical contexts.

Introduces convex sets and functions, discussing minimizers, optimality conditions, and characterizations, along with examples and key inequalities.

Explores the polynomial q(t) = bt - 1² in a vector space context.

Explores vector approximation and distance calculation through exercises and solutions, focusing on orthogonal projections and vector spaces.

Explores the canonical representation of discrete signals as a linear combination of dispersed pulses and other related concepts.

Explores ray-triangle intersection, barycentric coordinates, points vs. vectors, and other primitives.

Introduces logistic regression for binary classification and polynomial regression on polynomial variables.

Covers Principal Component Analysis for yield curve shape estimation and dimension reduction in interest rate models.

Covers unsupervised learning with PCA and K-means for dimensionality reduction and data clustering.

Covers the basics of Bezier curves and introduces Bernstein polynomials.