Lectures related to Semiregular variable star

Covers writing mass balances for two-unit processes to determine unknown variables.

Covers classes, springs, color presets, and variable changes in physics.

Covers Boolean algebra properties, optimization techniques, and the importance of valid groups in Karnaugh maps.

Explores Boolean algebra properties and optimization techniques using Karnaugh diagrams and De Morgan's theorems.

Covers the definitions and examples of continuous-time stochastic processes.

Explores intrinsic stellar variability, focusing on expulsions from stars and phenomena observed in BE stars, UV setting stars, and Betelgeuse.

Explores the dynamics of a block pulled by a spring under various conditions.

Covers conditions, loops, functions, and graphics in R programming with practical examples.

Covers fatigue life calculations, crack development stages, thickness effects, and propagation laws in metal structures.

Explains extrema of functions in several variables, stationary points, saddle points, and the role of the Hessian matrix.

Explores the conditions for local extrema of functions in several variables, including critical points and the Hessian matrix.

Covers the characteristics and origins of white dwarfs and neutron stars, including their structure, evolution, and pulsations.

Introduces gradient, Laplacian, Taylor formula, polynomial approximations, extrema, and Taylor series expansions in multiple variables.

Covers the Taylor polynomial in two variables and the concept of extrema in functions of several variables.

Explores limits of functions in several real variables, including the two gendarmes theorem and the minimum and maximum theorem on compact sets.

Emphasizes specificity in defining variables and the importance of incorporating intermediate variables in educational studies.

Explains Taylor polynomials, small o concept, variable changes, and remainder calculation.

Covers the Expectation Maximization algorithm for learning parameters and dealing with unknown variables.

Covers definitions and examples of real functions of several real variables, including limits and visualization techniques.