Quantum Mechanics: Eigenstates and Eigenvalues

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Covers eigenvalues, eigenfunctions, Hermitian operators, and the measurement of observables in quantum chemistry.

Covers quantum states, symmetries, fermions, and variational principles in quantum chemistry.

Covers logical arrays, 3D surface plotting, parametric curves, interpolation, and fitting in Matlab.

Explores eigenfunctions and operators in quantum chemistry, emphasizing their significance in understanding bound states.

Explains the transformation from a matrix to the density operator in quantum physics.

Explores density operator matrix transformation in quantum physics and the implications of measuring the system, leading to state collapse.

Explores Matlab programming with scripts and functions, vectorization, and 2D graphics.

Explores classical equations, conservation laws, and quantum distributions in various systems, shedding light on particle behavior.

Explores the Schrödinger equation in quantum mechanics, emphasizing conservation of probability and numerical schemes.

Explores the historical perspective and postulates of quantum mechanics, focusing on the harmonic oscillator and approximation methods.