Lectures related to Polynomial Regulator Design

Covers the theory and implementation of RST regulators, focusing on factorization of zeros and matrix writing.

Covers the factorization of a matrix and the least squares method.

Explores asymptotic states, S-matrix, Lippmann-Schwinger equation, and energy robustness in quantum field theory.

Covers the determinant of a matrix, factorization, and linear equations with infinite solutions.

Covers the concept of asymptotic states and S-matrix in quantum field theory, focusing on the evolution of wave packets and the scattering states.

Explores the properties of invertible matrices, including unique solutions and linear independence.

Explores asymptotic states, S-matrix, and operators in quantum field theory, emphasizing the role of discrete symmetries and complete sets of states.

Covers the principles of quantum mechanics, including the Measurement Principle and Max Born Rule.

Covers linear systems, diagonal and triangular matrices, and LU factorization.

Covers the concept of discrete symmetries, focusing on the introduction to asymptotic states and S-matrix.

Explores characteristic polynomials, similarity of matrices, and eigenvalues in linear transformations.

Explores matrix inversion, conditions for invertibility, uniqueness of the inverse, and elementary matrices for inversion.

Explores properties of 3x3 matrices with real coefficients and determinant calculation methods.

Covers LU factorization, determinants, subspaces, and matrix products.

Covers the basics of linear algebra, including matrix operations and singular value decomposition.

Covers matrix operations, including multiplication, transposition, powers, and inverses, and explains how to determine if a matrix is invertible.

Covers preliminary concepts in signals and systems, including linear systems invariant in time and stability.

Covers LU factorization, linear independence, and matrix equations.

Covers matrix operations, focusing on the product and inverse of matrices.

Covers matrix multiplication, properties, and inverses in linear algebra.