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Orthogonal Polynomials, Asymptotics and Heun Equations
Journal article
arXiv, 2019
Authors:
Yang Chen
;
Galina Filipuk
;
Longjun Zhan
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View/Download:91/0
|
TC[WOS]:
0
TC[Scopus]:
0
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Submit date:2019/07/22
Painleve transcendents and the Hankel determinants generated by a discontinuous Gaussian weight
Journal article
MATHEMATICAL METHODS IN THE APPLIED SCIENCES, 2019,Volume: 42,Issue: 1,Page: 301-321
Authors:
Min, Chao
;
Chen, Yang
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View/Download:9/0
|
TC[WOS]:
6
TC[Scopus]:
5
|
Submit date:2019/01/17
asymptotics
Hankel determinants
ladder operators
orthogonal polynomials
Painleve transcendents
random matrices
Painlevé transcendents and the Hankel determinants generated by a discontinuous Gaussian weight
Journal article
Mathematical Methods in the Applied Sciences, 2019,Volume: 42,Issue: 1,Page: 301-321
Authors:
Min C.
;
Chen Y.
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View/Download:11/0
|
TC[WOS]:
6
TC[Scopus]:
5
|
Submit date:2019/02/12
Asymptotics
Hankel Determinants
Ladder Operators
Orthogonal Polynomials
Painlevé Transcendents
Random Matrices
Stochastic Assessment of AGC Systems Under Non-Gaussian Uncertainty
Journal article
IEEE TRANSACTIONS ON POWER SYSTEMS, 2019,Volume: 34,Issue: 1,Page: 705-717
Authors:
Chen, Xiaoshuang
;
Lin, Jin
;
Liu, Feng
;
Song, Yonghua
Favorite
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View/Download:11/0
|
TC[WOS]:
9
TC[Scopus]:
11
|
Submit date:2019/01/17
Automatic generation control
stochastic system
stochastic differential equation
partial differential equation
series expansion
Ito theory
Dual-Band Differential Phase Shifter Using Phase-Slope Alignment on Coupled Resonators
Journal article
IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, 2018,Volume: 28,Issue: 12,Page: 1092-1094
Authors:
Lyu, Yun-Peng
;
Zhu, Lei
;
Cheng, Chong-Hu
Favorite
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View/Download:13/0
|
TC[WOS]:
6
TC[Scopus]:
7
|
Submit date:2019/01/17
Constant Phase Shift
Coupled Resonators
Differential Phase Shifter
Dual-band Operation
Phase-slope Alignment
A linearized and second-order unconditionally convergent scheme for coupled time fractional Klein-Gordon-Schrödinger equation
Journal article
Numerical Methods for Partial Differential Equations, 2018,Volume: 34,Issue: 6,Page: 2153-2179
Authors:
Lyu P.
;
Vong S.
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View/Download:12/0
|
TC[WOS]:
5
TC[Scopus]:
5
|
Submit date:2018/12/24
Fractional Klein-gordon-schrödinger Equations
Linearized Scheme
Second-order Convergent
Unconditionally Convergent And Stable
Exponential Ergodicity for SDEs Driven by -Stable Processes with Markovian Switching in Wasserstein Distances
Journal article
POTENTIAL ANALYSIS, 2018,Volume: 49,Issue: 4,Page: 503-526
Authors:
Tong, Jinying
;
Jin, Xinghu
;
Zhang, Zhenzhong
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View/Download:31/0
|
TC[WOS]:
3
TC[Scopus]:
3
|
Submit date:2018/10/30
Exponential ergodicity
Symmetric -stable process
Markovian switching
M-matrix
Wasserstein distance
Coupling method
A linearized and second-order unconditionally convergent scheme for coupled time fractional Klein-Gordon-Schrodinger equation
Journal article
NUMERICAL METHODS FOR PARTIAL DIFFERENTIAL EQUATIONS, 2018,Volume: 34,Issue: 6,Page: 2153-2179
Authors:
Lyu, Pin
;
Vong, Seakweng
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View/Download:26/0
|
TC[WOS]:
5
TC[Scopus]:
5
|
Submit date:2018/10/30
fractional Klein-Gordon-Schrodinger equations
linearized scheme
second-order convergent
unconditionally convergent and stable
Large deviations for locally monotone stochastic partial differential equations driven by Levy noise
Journal article
BERNOULLI, 2018,Volume: 24,Issue: 4A,Page: 2842-2874
Authors:
Xiong, Jie
;
Zhai, Jianliang
Favorite
|
View/Download:23/0
|
TC[WOS]:
5
TC[Scopus]:
5
|
Submit date:2018/10/30
Freidlin-Wentzell type large deviation principle
Levy processes
locally monotone coefficients
stochastic partial differential equations
Optimized Multi-Agent Formation Control Based on an Identifier-Actor--Critic Reinforcement Learning Algorithm
Journal article
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2018,Volume: 26,Issue: 5,Page: 2719-2731
Authors:
Wen, Guoxing
;
Chen, C. L. Philip
;
Feng, Jun
;
Zhou, Ning
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Adobe PDF
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View/Download:1436/111
|
TC[WOS]:
21
TC[Scopus]:
25
|
Submit date:2018/10/30
Fuzzy logic systems (FLSs)
identifier-actor-critic architecture
multi-agent formation
optimized formation control
reinforcement learning (RL)