Convergence of the Trip-Grouping Matrix Algorithm
CONVERGENCE ANALYSIS OF THE EAPG ALGORITHM FOR NON-NEGATIVE MATRIX FACTORIZATION
... (eAPG) algorithm was proposed to overcome the ...the convergence of the eAPG ...the convergence conditions of the eAPG algorithm are obtained, which can accelerate the ...
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Convergence results of a matrix splitting algorithm for solving weakly nonlinear complementarity problems
... sparse matrix. We present an accelerated modulus-based matrix splitting algorithm by reformulating the WNCP as implicit fixed point equations based on two splittings of the system ...system ...
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Convergence of the iterative T-matrix method
... fast convergence of the iterative ...the matrix is achieved. Thus, our algorithm starts with a high value of P and successively lowers that value until Q 0 becomes ...the matrix norm is ...
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The Sinkhorn-Knopp algorithm : convergence and applications
... stochastic matrix P = ...appropriate matrix to find D and E, we can compute our new ranking with a cost comparable to that of finding the ...of convergence of the SK algorithm, which ...
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Improving Convergence of Congestion Control Algorithm
... in convergence and ...Control Algorithm Coupling Logistic ...the convergence and stability of transport ...fast convergence and strong stability, but also high utilization and fair bandwidth ...
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Convergence analysis of an improved pagerank algorithm
... permutation matrix. Proof. First, we claim that P is a cyclic permutation matrix if and only if each column of P has at most one positive ...the matrix, the single positive entry in each column of P ...
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A fast algorithm for matrix balancing
... nonnegative matrix A contains sufficient nonzero elements, then the matrix can be balanced, that is we can find a diagonal scaling of A that is doubly ...quadratic convergence at low ...
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A fast algorithm for matrix balancing
... nonnegative matrix A contains sufficient nonzero elements, then the matrix can be balanced, that is we can find a diagonal scaling of A that is doubly ...quadratic convergence at low ...
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A Novel Weighted-Graph-Based Grouping Algorithm for Metadata Prefetching
... adjacent matrix or list is used), we can reassign new weights from 0 to N1 (assume N is the number of edges whose start point is vertex i) to the edges while make sure the original weight ordering is not ...
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Multi-objective grouping genetic algorithm for product life-cycle optimisation
... flows as well as the estimated degree of physical coupling. If sufficient knowledge is known about the possible joining methods and the level of mating complexity then the advanced coupling evaluation can be used. This ...
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A symmetry preserving algorithm for matrix scaling
... iterative algorithm which scales the ∞-norm of the rows and columns of a matrix to ...proposed algorithm are the following: it preserves symmetry; it is permutation independent; and it has fast ...
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Vehicle Routing Algorithm based on Matrix
... In general any delivery boy sequence his trip on the basis of his years of experience or just his casual judgment .This method is reliable in small cities or when the numbers of customers are located nearer to ...
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A faster algorithm for identification of an M-Matrix
... slow convergence of the al- ways convergent method described ...causes convergence to a slightly incorrect approxima- ...the matrix remedies this ...
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Cross-comparison of convergence algorithms to solve trip-based dynamic traffic assignment problems
... loop convergence patterns of MSA ranking and Probabilistic algo- rithms with both initialization methods are presented in Figure ...the algorithm to start from the assignment with a high ...swapping ...
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A Constrained Genetic Algorithm Based on Constraint Handling with KS Function and Grouping Penalty
... of grouping penalty in GA Penalty function method is the most commonly used method for handing constraints in genetic ...premature convergence to a local optimal ...
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Prolong Lifetime of Wireless Sensor Network Using Reliable Power Grouping Algorithm
... Remote sensor organize applications are very board running from brilliant matrix, military, medicinal services, following, common, modern parts, natural observing and control. In most applications, a remote sensor ...
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Grouping genetic algorithm for industrial engineering applications
... problems, grouping genetic algorithms, genetic algorithms, metaheuristics, Industrial engineering ...the grouping of customers is done, considering the size, type and capacity of the available ...similar ...
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Convergence analysis of the direct algorithm
... B = ∪ k B k . The objective of this paper is to study the cluster points of B. 2.2. General Constraints. Bound constraints are part of DIRECT’s sampling strat- egy, and are incorporated automatically into the ...
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Novel Tag Anti Collision Algorithm with Adaptive Grouping
... the algorithm is rather ...based algorithm, TAAG also has its superi- ority in terms of lower cost and less average time needed to identify a single ...anti-collision algorithm, owns its advantages ...
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Matrix Transformations and Disk of Convergence in Interpolation Processes
... certain matrix transformation on the sequences of operators given in the above-mentioned interpolation processes to prove the convergence in larger ...
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