Concept

Continuous or discrete variable

Related lectures (31)

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.

Covers the calculation of expectation and variance for different types of random variables, including discrete and continuous ones.

Covers the geometric properties of discrete variables in geographic information systems, focusing on shape, location, and size indices.

Explores the shift from continuous to discrete control systems, focusing on the challenges and benefits of digital implementation.

Covers discrete variables in geographic information systems and their geometric properties, including spatial arrangement and autocorrelation.

Covers specular view factors, radiative exchange, energy transfer, and numerical integration methods in thermal radiation.

Covers joint probability distributions for dependent random variables and how to estimate joint probabilities.

Covers the basics of optimization modeling using AMPLIDE.

Explores birth and death chains, hitting probabilities, and expected game durations in Markov chains.

Covers the basics of experimental design and analysis, focusing on statistical techniques like ANOVA, regression, mediation, and moderation.

Explores continuous random variables, cdf, pdf, convolution, and sum of dice.