The guaranteed performance (including convergence) of the proposed algorithms is shown in terms of suitable choices of the algorithmic parameters and the restricted isometry property (RIP) of the sensing matrix which has been widely used in the analysis of compressive sensing algorithms. The simulation...
In terms of computational costs, the Newton-type algorithms require about 20 times fewer objective function evaluations than the SCE search for SIMHYD and 50 times fewer evaluations for FUSE-536. Considering the chance of converging to the global optimum and the computational cost, we suggest that...
Newton-type methods for nonlinearly constrained programming problems-algorithms and theory. Optimization . 1988; 19, No. 3 : 397–412.Newton-type Methods for Nonlinearly Constrained ProgrammingProblems--A lgorit h m and Theory. H. Kleinmichel and K. Schonefeld. Optimization . 1 988...
Pollatschek, M. and B. Avi-Itzhak (1969), "Algorithms for stochastic games with geometric interpretation",Management Science, 15, 399–415. Google Scholar Puterman, M.L. and S.L. Brumeile (1978), "The analytic theory of policy iteration", inDynamic Programming and its Applications, M.L....
case, the large advantage that our approach can provide with respect to the other considered algorithms is strongly evident in both data transmitted and communication rounds. Comparing the SHED approaches against Mont-Dec we see the key role that the incremental strategy exploiting outdated second ...
5. Newton-type algorithms for nonlinear constrained chemical process control. [D] . de Oliveira, Nuno Manuel Clemente. 1994 机译:用于非线性约束化学过程控制的牛顿型算法。 6. A novel method for fast and robust estimation of fluorescence decay dynamics using constrained least-square deconvolution ...
The performances of the proposed algorithms are illustrated with numerical results using simulated data.doi:10.48550/arXiv.1310.5156Mourad SiniNguyen Trung ThànhM. Sini and N. T. Th`anh. Convergence rates of recursive newton-type methods for multifrequency scattering problems. 2013. Preprint, arXiv...
which shows that the tracking error monotonously converges to zero after a finite number of iterations.Compared with the existing optimized ILC algorithms,due to the superlinear convergence of quasi-Newton method,the proposed learning law operates with a faster convergent rate and is robust to the ...
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Algorithms are proposed for real-time state estimation of nonlinear systems with unknown disturbances. An optimal estimate of the state is determined so as... T Ohtsuka - 《Transactions of the Society of Instrument & Control Engineers》 被引量: 15发表: 1999年 Real-Time Fuel Economy Optimization...