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Related lectures (27)

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Matrix Equation Resolution

Covers the resolution of a system of equations using the Gramer rule.

Signals & Systems I: Preliminary Concepts and Linear Systems

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

Diagonalization: Criteria and Examples

Covers the criteria for diagonalizing a matrix and provides illustrative examples.

Power Systems Dynamics

Covers transient stability, power flow analysis, and load flow methods in power systems.

Matrix Exponential: Properties and Convergence

Explores the properties and convergence of the matrix exponential for linear systems.

Matrix Functions: Theory and Computation

Covers the theory and computation of matrix functions, focusing on computing f(A) and particularly e^A, with special attention to the matrix exponential and common examples of matrix functions.

Principles of Quantum Mechanics

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

QED: Gauge Theories

Covers Quantum Electrodynamics (QED), instantons, Feynman rules, and gauge theories in modern particle physics.

Matrix Equations: Finding Free Variables

Explains how to find free variables in matrix equations and analyze characteristic polynomials.

Matrix Operations: Definitions and Examples

Covers the basic operations on matrices, including addition, scalar multiplication, and matrix multiplication.