Continuous or discrete variable

Related lectures (31)

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Covers the time evolution for non-time invariant systems and continuous and discrete degrees of freedom.

Introduces Variational Monte Carlo methods for discrete and continuous systems, including Jastrow states and Markov-chain Monte Carlo algorithms.

Covers Canonical Correlation Analysis, a method to find relationships between two sets of variables.

Explores binomial distribution, random walk, and diffusion concepts in a continuous context.

Covers the introduction to Quantum Chaos, classical chaos, sensitivity to initial conditions, ergodicity, and Lyapunov exponents.

Covers linear regression, from developing research questions to interpreting R-squared and adding predictors to improve the model.

Covers the basics of exploratory statistics, including variables, quantiles, central tendency, dispersion, outliers, and robustness.

Covers geometric properties of discrete variables in GIS, including location, size, and shape.

Introduces partial differential equations, covering derivatives, special cases, transformations, and the Jacobian matrix.

Covers difference equations, dynamic systems, linearity, and impulse response in discrete systems.