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In this paper, a new iterative algorithm for determination of direction cosine matrix (DCM) is presented, it can be expressed as two forms, matrix exponential and six scalar differential equations respectively, corresponding to each form, related algorithms used for the orthonormalization are derived, although the simulations and algorithm analysis are omitted here, the Van test results verified its...
A capacitated multi-facility Weber problem (CMFWP) is widely used in both theoretic and practical environments. The most studies in this field tackled the problem either by deterministic or probabilistic orientation. Nevertheless, in the real world, some parameters (e.g., demand) are usually imprecise (fuzzy) in nature. Thus, in this paper, we address the CMFWP with fuzzy demands. To solve this problem,...
The difficulties encountered in sequential decision-making problems under uncertainty are often linked to the large size of the state space. Exploiting the structure of the problem, for example by employing a factored representation, is usually an efficient approach but, in the case of partially observable Markov decision processes, the fact that some state variables may be visible has not been sufficiently...
Based on the concept of hybrid shift-invariant spaces, we develop a distributed protocol for the reconstruction of time-varying physical fields in wireless sensor networks. The localized nature of these spaces allows for a clustered network architecture that leads to low communication overhead. Capitalizing on the sparsity of the reconstruction matrix, we propose an iterative reconstruction algorithm...
This paper is concerned with the use of the level set methods in image segmentation. It is known that the reinitialisation is sometimes needed for the correct function of these methods. This step, however, is problematic both from the theoretical and from the practical point of view. In this paper, we present a modification of the well known Chan and Vese method that does not require the reinitialisation...
Solving complex convection-diffusion equations is very important to many practical mathematical and physical problems. After the finite difference discretization, most of the time for equations solution is spent on sparse linear equation solvers. In this paper, our goal is to solve 2D Nonlinear Unsteady Convection-Diffusion Equations by accelerating an iterative algorithm named Jacobi-preconditioned...
In this paper a brief survey is provided on a novel approach to adaptive nonlinear control developed at Budapest Te c h in the past few years. The most popular branches of the classical and novel adaptive approaches are analyzed in comparison with methods needing complete, accurate, and permanent models or applying only partial, incomplete, temporal, and situation-dependent ones that require continuous...
There is a recent surge of interest in developing algorithms for finding sparse solutions of underdetermined systems of linear equations y = ??x. In many applications, extremely large problem sizes are envisioned, with at least tens of thousands of equations and hundreds of thousands of unknowns. For such problem sizes, low computational complexity is paramount. The best studied l1 minimization algorithm...
The system of partial differential equations which forms the Poissonpsilas and continuity equations together with appropriate boundary conditions cannot be solved explicitly in general. Therefore, the solution must be calculated by means of numerical approaches. Application of finite element method (FEM) for semiconductor device simulation is described. It is shown that this method guarantees exact...
In this paper we present a centralized flow control scheme in NoCs in the presence of both elastic and streaming flow traffic paradigms. We model the desired best effort (BE) source rates as the solution to an alpha-fair utility maximization problem which is constrained with link capacities while preserving guaranteed service (GS) traffic requirements at the desired level. We propose an iterative...
This paper presents a novel Radial Basis Function (RBF) iterative method for nonlinear electromagnetic problems by introducing RBF collocation technique into Newton iteration. This method based firstly on transforming electromagnetic partial differential equations into high order coupled equations on many advantages of RBF collocation technique, then get numerical results from a novel self-optimized...
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