October 18, 2018
10:30AM - 11:30AM
Enarson Classroom Bldg 218
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2018-10-18 10:30:00
2018-10-18 11:30:00
Applied Math Seminar - William Kath
Title: Special Applied Math Seminar Series
Speaker: William Kath (Northwestern University)
Abstract: In optical systems employing optical pulses, amplified spontaneous emission noise leads to errors if noise-induced fluctuations are sufficiently large. Large fluctuations only occur with small probabilities, however. We discuss methods for modeling large deviations in such systems. In particular, we show how the problem of studying these events can be formulated as a constrained optimization problem that combines the pulse evolution equation and, in some cases, a detector model. The results of the combined optimization are then used to guide importance-sampled Monte-Carlo simulations to compute error probabilities.
Enarson Classroom Bldg 218
OSU ASC Drupal 8
ascwebservices@osu.edu
America/New_York
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Date Range
Add to Calendar
2018-10-18 10:30:00
2018-10-18 11:30:00
Applied Math Seminar - William Kath
Title: Special Applied Math Seminar Series
Speaker: William Kath (Northwestern University)
Abstract: In optical systems employing optical pulses, amplified spontaneous emission noise leads to errors if noise-induced fluctuations are sufficiently large. Large fluctuations only occur with small probabilities, however. We discuss methods for modeling large deviations in such systems. In particular, we show how the problem of studying these events can be formulated as a constrained optimization problem that combines the pulse evolution equation and, in some cases, a detector model. The results of the combined optimization are then used to guide importance-sampled Monte-Carlo simulations to compute error probabilities.
Enarson Classroom Bldg 218
Department of Mathematics
math@osu.edu
America/New_York
public
Title: Special Applied Math Seminar Series
Speaker: William Kath (Northwestern University)
Abstract: In optical systems employing optical pulses, amplified spontaneous emission noise leads to errors if noise-induced fluctuations are sufficiently large. Large fluctuations only occur with small probabilities, however. We discuss methods for modeling large deviations in such systems. In particular, we show how the problem of studying these events can be formulated as a constrained optimization problem that combines the pulse evolution equation and, in some cases, a detector model. The results of the combined optimization are then used to guide importance-sampled Monte-Carlo simulations to compute error probabilities.
