Lectures related to Linear interpolation

Covers the concept of piecewise linear interpolation and the importance of dividing intervals correctly.

Covers isovalue curves for visualizing terrain and meteorological data through linear interpolation and QGIS software.

Covers affine transforms, rotation, shear, and bilinear interpolation for image manipulations.

Explores the use and creation of isovalue curves in different applications.

Explores numerical differentiation methods and round-off errors in computer computations.

Covers interpolation in finite element spaces and the regularity of solutions in convex domains.

Covers the basics of Bezier curves and introduces Bernstein polynomials.

Explores polynomial interpolation theory, emphasizing error expression and piecewise definition.

Covers polynomial interpolation, error analysis, stability, and piecewise linear interpolation using equally distributed nodes.

Explores bootstrapping to build the term structure from short to long maturities using market data on LIBOR, futures, and swaps.

Explores the fundamentals and applications of Bezier curves, focusing on their construction, properties, and practical uses in design and modeling.

Explores convection-diffusion equations, focusing on Poincare constant, interpolation error, singular perturbations, and boundary conditions.

Explores finite element interpolation using the Clément operator for non-continuous functions and discusses error estimation.

Explores continuous training and interpolation methods, emphasizing unique solutions and practical applications.

Explores advanced 2.5D and 3D graphics in Matlab/Octave, covering color mapping techniques and perspective transformations.

Covers piecewise linear and spline interpolation methods, stability, convergence, and data interpolation using splines.

Covers the interpolation of nonlinear functions using Lagrange polynomials and error analysis.

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

Introduces geostatistics, variograms, and kriging for spatial interpolation in regionalized variables.