Matlab Programming III

Related lectures (27)

Page 2 of 3

Introduces Matlab basics, error handling, and billiards project concepts.

Explores modeling and interpolation techniques in geomatics for accurate surface generation.

Explores interpolation of regular functions, error analysis, convergence, and Chebyshev polynomials.

Explores trigonometric interpolation for approximating periodic functions and signals using equally spaced nodes.

Covers the Newton method for finding zeros of functions using data interpolation.

Covers the least squares method for approximating data and handling errors.

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

Covers the basics of numerical analysis, focusing on interpolation methods and their applications in engineering.

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

Introduces Reed Solomon Codes, their applications, polynomial definitions, interpolation, roots, and the Fundamental Theorem of Algebra.