Mediaspace scheduled maintenance: Aug 25, 2026 07:00 - 12:00 AM. During this time, videos will be temporarily unavailable. Check status updates.

Home

Lecture

Computer Simulation of Physical Systems

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (55)

Stochastic Models for Communications Log in to Mediaspace to watch this video

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

Probability and Statistics Log in to Mediaspace to watch this video

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

Probability and Stochastic Processes: Fundamentals and Applications Log in to Mediaspace to watch this video

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

Direction Fields, Euler Methods, Differential Equations Log in to Mediaspace to watch this video

Explores direction fields, Euler methods, and differential equations through practical exercises and stability analysis.

Central Limit Theorem: Properties and Applications Log in to Mediaspace to watch this video

Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.

Statistical Theory: Fundamentals Log in to Mediaspace to watch this video

Covers the basics of statistical theory, including probability models, random variables, and sampling distributions.

Differential Equations: Modeling Physical and Biological Phenomena Log in to Mediaspace to watch this video

Covers differential equations and their applications in modeling various phenomena.

Martingales and Brownian Motion Log in to Mediaspace to watch this video

Discusses the construction of random variables similar to Brownian motion and their implications.

Stochastic Models for Communications Log in to Mediaspace to watch this video

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

Variance Reduction Techniques: Antithetic Variables & Importance Sampling Log in to Mediaspace to watch this video

Explores variance reduction techniques like antithetic variables and importance sampling in Monte Carlo estimation.

Estimating R Log in to Mediaspace to watch this video

Covers the estimation of R, including the continuity theorem and limit laws for random variables.

Log-Concave Functions Log in to Mediaspace to watch this video

Covers the concept of log-concave functions and their implications in probability distributions and Gaussian correlation inequalities.

Elements of Statistics: Memorylessness, Stationary Processes, Estimation using MLE Log in to Mediaspace to watch this video

Explores memorylessness in distributions, stationary processes, and estimation using MLE.

Law of Large Numbers: Strong Convergence Log in to Mediaspace to watch this video

Explores the strong convergence of random variables and the normal distribution approximation in probability and statistics.

Central Limit Theorem Log in to Mediaspace to watch this video

Covers the central limit theorem, showing how random processes converge to a normal distribution.

Inverse Laplace Transform and Cauchy Problem Log in to Mediaspace to watch this video

Introduces the inverse Laplace transform and the Cauchy problem for ordinary differential equations, emphasizing the importance of verifying the obtained results.

Beam Deflection: Integrating Loads to Deformation Log in to Mediaspace to watch this video

Explores integrating loads to deform beams, emphasizing boundary conditions and practical applications in stress analysis.

Linearity of Expectation Log in to Mediaspace to watch this video

Covers Linearity of Expectation, Markov's inequality, random variables, and transitive tournaments.

Ordinary Differential Equations: Solving Examples and Special Cases Log in to Mediaspace to watch this video

Explores solving second-order ODEs with Laplace transforms and discusses special cases.

Binomial and Poisson Mass Functions Log in to Mediaspace to watch this video

Explores binomial and Poisson mass functions, calculating probabilities and discussing distribution functions of random variables.

Page 2 of 3