Computer Simulation of Physical Systems

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Related lectures (31)

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Differential Equations: Speed Variation Analysis

Covers the analysis of speed variation using differential equations and small time intervals.

Quantifying Statistical Dependence: Covariance and Correlation

Explores covariance, correlation, and mutual information in quantifying statistical dependence between random variables.

Advanced Probability: Summary

Covers random variables, sample spaces, probability distributions, functions, expected value, variance, and estimations.

Homogeneous Differential Equations

Explores solving first-order homogeneous differential equations through variable changes and delves into the Bernoulli differential equation.

Stochastic Models for Communications

Covers random vectors, joint probability density, independent random variables, functions of two random variables, and Gaussian random variables.

Continuous Random Variables

Explores continuous random variables, density functions, joint variables, independence, and conditional densities.

Stochastic Models for Communications

Covers stochastic models for communications, focusing on random variables, Markov chains, Poisson processes, and probability calculations.

Probability and Statistics

Explores joint random variables, conditional density, and independence in probability and statistics.

Probability and Stochastic Processes: Fundamentals and Applications

Discusses the fundamentals of probability and stochastic processes, focusing on random variables, their properties, and applications in statistical signal processing.

Probability and Statistics

Covers probability, statistics, independence, covariance, correlation, and random variables.