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Lecture 26: Absorption Probabilities and Expected Time to Absorption (M-I-T)

(9 Lectures Available)

S# Lecture Course Institute Instructor Discipline
1
  • L26.1 Brief Introduction (M-I-T)
Lecture 26: Absorption Probabilities and Expected Time to Absorption (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
2
  • L26.2 Lecture Overview (M-I-T)
Lecture 26: Absorption Probabilities and Expected Time to Absorption (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
3
  • L26.3 Review of Steady-State Behavior (M-I-T)
Lecture 26: Absorption Probabilities and Expected Time to Absorption (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
4
  • L26.4 A Numerical Example — Part III (M-I-T)
Lecture 26: Absorption Probabilities and Expected Time to Absorption (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
5
  • L26.5 Design of a Phone System (M-I-T)
Lecture 26: Absorption Probabilities and Expected Time to Absorption (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
6
  • L26.6 Absorption Probabilities (M-I-T)
Lecture 26: Absorption Probabilities and Expected Time to Absorption (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
7
  • L26.7 Expected Time to Absorption (M-I-T)
Lecture 26: Absorption Probabilities and Expected Time to Absorption (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
8
  • L26.8 Mean First Passage Time (M-I-T)
Lecture 26: Absorption Probabilities and Expected Time to Absorption (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences
9
  • L26.9 Gambler's Ruin (M-I-T)
Lecture 26: Absorption Probabilities and Expected Time to Absorption (M-I-T) MIT Prof. John Tsitsiklis, Prof. Patrick Jaillet Applied Sciences