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TI-Nspire series
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Related lectures (16)
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Continuous-Time Markov Chains: Kolmogorov Equations
Covers the equations of Kolmogorov for continuous-time Markov chains.
Information Theory: Source Coding & Channel Coding
Covers the fundamentals of information theory, focusing on source coding and channel coding.
Markov Chains: Ergodic Chains Examples
Covers stochastic models for communications, focusing on discrete-time Markov chains.
Operator Matrix Elements
Explores the physical meaning of operator matrix elements in quantum mechanics, focusing on the classical limit and different picture representations.
Stochastic Models for Communications
Covers stochastic models for communication systems, including concepts like stochastic processes and Markov chains.
Random Permutations and Probabilities
Explores random permutations and probabilities in various scenarios.