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Gives some vague ideas about useful control design tools that might be based on LMI algorithms.
Proximal algorithms     Proximal algorithm  optimization algorithm  the standard tools  smooth  moderate scale  high dimensional data set       font style='font-size:12px;'> 2015/8/7
This monograph is about a class of optimization algorithms called proximal algorithms. Much like Newton's method is a standard tool for solving unconstrained smooth optimization problems of modest siz...
GASAKe is a new hydrological model aimed at forecasting the triggering of landslides. The model is based on genetic algorithms and allows one to obtain thresholds for the prediction of slope failures ...
This article reviews several fast algorithms for boundary integral equations. After a brief introduction of the boundary integral equations for the Laplace and Helmholtz equations, we discuss in order...
This paper introduces a new directional multilevel algorithm for solving N-body orN-point problems with highly oscillatory kernels. These systems often result from the boundary integral formulations o...
This paper presents a new directional multilevel algorithm for solving N-body or N-point problems with highly oscillatory kernels. We address the problem by first proving that the interaction between ...
We construct Markov chain algorithms for sampling from discrete exponential families conditional on a sufticient statistic. Examples include contingency tables, logistic regression, and spectral a...
Analysis of Systematic Scan Metropolis Algorithms Using Iwahori–Hecke Algebra Techniques。
On characterizations of Metropolis type algorithms in continuous time。
Gibbs/Metropolis algorithms on a convex polytope     Gibbs  metropolis  convex polyhedron  the algorithm       font style='font-size:12px;'> 2015/7/7
Gibbs/Metropolis algorithms on a convex polytope。
A sensor network of nodes with wireless transceiver capabilities and limited energy is considered. We propose distributed algorithms to compute an optimal routing scheme that maximizes the time at whi...
The development of randomized algorithms for numerical linear algebra, e.g. for computing approximate QR and SVD factorizations, has recently become an intense area of research. This paper studies one...
Assessing and monitoring water quality status through timely, cost effective and accurate manner is of fundamental importance for numerous environmental management and policy making purposes. Theref...
Applications of Geometric Cluster Algorithms     Geometric Cluster Algorithms       font style='font-size:12px;'> 2015/3/19
Applications of Geometric Cluster Algorithms.
The computational complexity of internal diffusion-limited aggregation (DLA) is examined from both a theoretical and a practical point of view. We show that for two or more dimensions, the problem of ...

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