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Related lectures (30)
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QR Factorization: Orthogonal Bases
Covers the QR factorization of a matrix A into Q and R.
Finite Elements: Basics and Precision
Explains the basics and precision of triangular and quadrangular finite elements.
MIMO Receivers
Covers the system model, linear receivers, performance evaluation, and graphical interpretations of MIMO receivers, including maximum likelihood detection and successive interference cancellation.
Construction of an Iterative Method
Covers the construction of an iterative method for linear systems, emphasizing matrix decomposition and convexity.
Geometric Potentials and Pressure
Introduces Banach spaces for geometric potentials and pressure analysis, emphasizing equilibrium states and pressure function analyticity.
Factorisation QR: Gram-Schmidt Process
Covers the Factorisation QR theorem and the Gram-Schmidt method for orthonormal bases.
Quantum Mechanics: Postulates and Observables
Explains the postulates of quantum mechanics and the representation of observables by operators.
QR Factorization: Least Squares System Resolution
Covers the QR factorization method applied to solving a system of linear equations in the least squares sense.
Scalar Product
Explains the concept of scalar product, its properties, and geometric interpretation.
Construction of an Iterative Method
Covers the construction of an iterative method for linear systems by decomposing a matrix A into P, T, and P_A.
