Linear Algebraic Methods in RESTART Problems in Markovian Systems

Springer Series in Reliability Engineering - Principles of Performance and Reliability Modeling and Evaluation ◽

10.1007/978-3-319-30599-8_17 ◽

2016 ◽

pp. 449-479 ◽

Cited By ~ 1

Author(s):

Stephen Thompson ◽

Lester Lipsky ◽

Søren Asmussen

Keyword(s):

Algebraic Methods ◽

Markovian Systems

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PDE, Differential Geometric and Algebraic Methods for Nonlinear Filtering.

10.21236/ada310330 ◽

1996 ◽

Author(s):

Stephen S. Yau

Keyword(s):

Nonlinear Filtering ◽

Algebraic Methods

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Comparing the solution of the time fractional Gross–Pitaevskii (FGP) equation with external potential by analytical and algebraic methods

SeMA Journal ◽

10.1007/s40324-016-0064-2 ◽

2016 ◽

Vol 73 (3) ◽

pp. 201-212

Author(s):

N. Taghizadeh ◽

A. Ebadian ◽

M. Najand Foumani ◽

F. Farahrooz ◽

A. A. Khajehnasiri

Keyword(s):

External Potential ◽

Algebraic Methods

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Symbolic and algebraic methods in computational origami

Proceedings of the 2009 international symposium on Symbolic and algebraic computation - ISSAC '09 ◽

10.1145/1576702.1576704 ◽

2009 ◽

Author(s):

Tetsuo Ida

Keyword(s):

Algebraic Methods

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Geometrical Bounds of the Irreversibility in Markovian Systems

Physical Review Letters ◽

10.1103/physrevlett.126.010601 ◽

2021 ◽

Vol 126 (1) ◽

Author(s):

Tan Van Vu ◽

Yoshihiko Hasegawa

Keyword(s):

Markovian Systems

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An Anti-PASTA Result for Markovian Systems

Operations Research ◽

10.1287/opre.38.1.173 ◽

1990 ◽

Vol 38 (1) ◽

pp. 173-175 ◽

Cited By ~ 13

Author(s):

Linda Green ◽

Benjamin Melamed

Keyword(s):

Markovian Systems

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LIE ALGEBRAIC METHODS IN INTEGRABLE SYSTEMS (Research Notes in Mathematics 415) By A. ROY CHOWDHURY: 354 pp., £45.95, ISBN 1-584-88037-6 (Chapman & Hall/CRC, Boca Raton, FL, 2000).

Bulletin of the London Mathematical Society ◽

10.1017/s0024609301289279 ◽

2001 ◽

Vol 33 (3) ◽

pp. 363-383

Author(s):

Pierre Van Moerbeke

Keyword(s):

Integrable Systems ◽

Algebraic Methods ◽

Systems Research

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Optimal stopping of two-time scale Markovian systems: Analysis, numerical methods, and applications

Nonlinear Analysis Hybrid Systems ◽

10.1016/j.nahs.2017.05.005 ◽

2017 ◽

Vol 26 ◽

pp. 151-167 ◽

Cited By ~ 1

Author(s):

Qing Zhang ◽

Caojin Zhang ◽

George Yin

Keyword(s):

Numerical Methods ◽

Optimal Stopping ◽

Systems Analysis ◽

Time Scale ◽

Markovian Systems

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Weiss–Weinstein Lower Bounds for Markovian Systems. Part 2: Applications to Fault-Tolerant Filtering

IEEE Transactions on Signal Processing ◽

10.1109/tsp.2007.893209 ◽

2007 ◽

Vol 55 (5) ◽

pp. 2031-2042 ◽

Cited By ~ 9

Author(s):

Ilia Rapoport ◽

Yaakov Oshman

Keyword(s):

Lower Bounds ◽

Fault Tolerant ◽

Markovian Systems

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Algebraic methods in plane geometry

Resonance ◽

10.1007/s12045-008-0123-9 ◽

2008 ◽

Vol 13 (11) ◽

pp. 1027-1040

Author(s):

Shailesh A. Shirali

Keyword(s):

Plane Geometry ◽

Algebraic Methods

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Decision Expression Optimization1

Fundamenta Informaticae ◽

10.3233/fi-1987-10107 ◽

1987 ◽

Vol 10 (1) ◽

pp. 93-114

Author(s):

J.R.B. Cockett

Keyword(s):

Decision Trees ◽

Algebraic Methods

A basic concern when using decision trees for the solution of taxonomic or similar problems is their efficiency. Often the information that is required to completely optimize a tree is simply not available. This is especially the case when a criterion based on probabilities is used. It is shown how it is often possible, despite the absence of this information, to improve the design of the tree. The approach is based on algebraic methods for manipulating decision trees and the identification of some particularly desirable forms.

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