Lectures related to Convolution Product and Radioactive Decay

Covers the isomorphism of coverings and the lifting theory.

Covers Python libraries, modules, scoping, functions, lambdas, and practical examples.

Explores the Cauchy-Schwarz inequality in integrals and functions, offering a comprehensive understanding of its applications.

Explores continuity and limits, emphasizing their relationship and practical applications in function analysis.

Covers optimization algorithms, stable matching, and Big-O notation for algorithm efficiency.

Introduces Mathematica basics, including graphics creation, list manipulation, and function definition.

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

Explores the relationship between series and integrals, highlighting convergence criteria and function examples.

Introduces logic, proofs, sets, functions, and algorithms in mathematics and computer science.