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And the gradient described in Equation (7) is extended as: @z ij (p) @ p =2(R (q) g (x i; k) +t ¡ y ji) @ (R (q) g (x i; k) +t ¡ y ji) @ p q I = 2 4 2(g (x i; k) +t ¡ y ji) ¡ 4g (x i; k) £ (t ¡ y ...
C. Wen Y. Ji, Z.G. Li, Y.C. Soh, “Synchronization of Chaotic Systems with Parametric Uncertainty and Mismatch”, International Journal of Bifurcation and Chaos, accepted for ...
Let y ji = o when i does not participate in j 'scontract. 5 Then we call y JI =( y ji) i,j =1 , 2 outcome of the game. We assume utility function of each principal j =1 , 2 and each agent 2 Han ...
[5] Y.Gu, Y.Ji, J. Li, Hongyang Chen, and B. Zhao, “Towards an Optimal Lifetime in Heterogeneous Surveillance Wireless Sensor Networks,” to appear in ...
J.Phuritatkul, K.Nguyen, M.Koibuchi, Y.Ji, K.Fukuda, S.Abe, J.Matsukata, S.Urushidani, S.Yamada. "Investigating QoS Performance on a Testbed Network", Proceedings of International ...
Abstract: Phase I clinical trials aim to find the maximum tolerated dose of an experimental drug. We consider dose escalation, de-escalation, or staying at the ...
For the two-port networks shown in Fig. 1(a), two nonsingulartransfor-mationmatrices S 1 i and S 2 i are introduced as follows: * x ji y ji * = S ji * V ji I ji * = * ji ji ji ji ** V ji I ji * ...
And the gradient described in Equation (7) is extended as: @z ij (p) @ p =2(R (q) g (x i; k) +t ¡ y ji) @ (R (q) g (x i; k) +t ¡ y ji) @ p q I = 2 4 2(g (x i; k) +t ¡ y ji) ¡ 4g (x i; k) ...
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