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Proof of Convergence of the AP algorithm

On quantized consensus by means of gossip algorithm - Part I: Convergence proof

On quantized consensus by means of gossip algorithm - Part I: Convergence proof

... Gossip Algorithm – Part I: Convergence Proof Javad Lavaei and Richard ...gossip algorithm proposed in a recent paper leads to reaching the quantized ...gossip algorithm is chosen ...

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Gaussian process optimization with failures: classification and convergence proof

Gaussian process optimization with failures: classification and convergence proof

... optimization algorithm following from this extended ...this algorithm, both on simulated data and on a real computer model in the context of automotive fan ...

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Convergence analysis of an improved pagerank algorithm

Convergence analysis of an improved pagerank algorithm

... P has at least one primitive stochastic complement of order at least two ⇐⇒ P is not a cyclic permutation matrix. Proof. First, we claim that P is a cyclic permutation matrix if and only if each column of P has at ...

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Approaching Prosumer Social Optimum via Energy Sharing with Proof of Convergence

Approaching Prosumer Social Optimum via Energy Sharing with Proof of Convergence

... Noncooperative game based approach. This category char- acterizes the conflicting interests of prosumers, and can be further divided into bilateral contract based approach and auction based approach. Under the bilateral ...

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Convergence of the Key Algorithm of Traffic-Flow Analysis

Convergence of the Key Algorithm of Traffic-Flow Analysis

... formal proof for the conver- gence of the method. Also, the convergence speed and stopping criteria of the algorithm are also determined so that the method can be used in a network expert system like ...

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Convergence analysis of an iterative algorithm for monotone operators

Convergence analysis of an iterative algorithm for monotone operators

... Proof Putting B m = ∂i C for every m ∈ { , , . . . , N } , we see J r n,m = P C . We can immediately draw from Theorem . the desired conclusion. If S is the identity mapping, then we find from Corollary . the ...

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On Convergence of the EM-ML Algorithm for PET Reconstruction

On Convergence of the EM-ML Algorithm for PET Reconstruction

... This correspondence first gives an alternative proof of sequence convergence and optimality based on direct expansion of certain Kullback discrimination functions and a standard result i[r] ...

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A fundamental proof of convergence of alternating direction method of multipliers for weakly convex optimization

A fundamental proof of convergence of alternating direction method of multipliers for weakly convex optimization

... linear convergence rate for this SWCCO- ADMM algorithm for the first ...the algorithm convergence, the proof shows that the penalty parameter ρ has to be chosen larger than at least ...

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Strong convergence of a general iterative algorithm in Hilbert spaces

Strong convergence of a general iterative algorithm in Hilbert spaces

... Proof Putting T i = I, where I is the identity mapping and f (x) = u, for all x ∈ C, we can immediately draw the desired conclusion from Theorem .. Corollary . Let C be a nonempty closed convex subset of a ...

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Weak convergence theorems of a hybrid algorithm in Hilbert spaces

Weak convergence theorems of a hybrid algorithm in Hilbert spaces

... the proof. Remark . The key of the weak convergence of the algorithm is due to the fact that A is inverse-strongly monotone, which yields that I – r n A is ...the algorithm is still weakly ...

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A new norm-relaxed SQP algorithm with global convergence

A new norm-relaxed SQP algorithm with global convergence

... Proof. The conclusion can be obtained easily from the discussion above, and the proof of this lemma is omitted here.  Based on the conclusions discussed above, we state the algorithm as follows. ...

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Strong Convergence of an Implicit Algorithm in CAT(0) Spaces

Strong Convergence of an Implicit Algorithm in CAT(0) Spaces

... strong convergence of iterative algorithm ...iteration algorithm without an error term converges, then the method of proof generally carries over easily to algorithm with bounded error ...

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Convergence Rate of a Simulated Annealing Algorithm with Noisy Observations

Convergence Rate of a Simulated Annealing Algorithm with Noisy Observations

... the convergence of the algo- rithm in the stochastic ...the convergence statement above did not give any information about the convergence rate of the ...noise-free proof of Aarts and Korst ...

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Convergence proof of an enhanced particle swarm optimisation method integrated with evolutionary game theory

Convergence proof of an enhanced particle swarm optimisation method integrated with evolutionary game theory

... (PSO) algorithm and examines its ...the convergence and ...the convergence and performance of the proposed PSO ...that convergence speed of the proposed PSO is superior to that of the Standard ...

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Convergence analysis of the direct algorithm

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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The MPLS Network: A Future-Proof Engine for Voice-Data Convergence

The MPLS Network: A Future-Proof Engine for Voice-Data Convergence

... The convergence of voice and data on a single wire is perhaps the most exciting network development since the invention of the private branch exchange (PBX). Over the past decade, Multi Protocol Label Switching ...

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The Sinkhorn-Knopp algorithm : convergence and applications

The Sinkhorn-Knopp algorithm : convergence and applications

... Roughly speaking, this is how Google’s PageRank is derived. An alternative method of generating a random walk on G is to apply a diagonal scaling to both sides of G to form a doubly stochastic matrix P = DGE. Of course, ...

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Improving Convergence of Congestion Control Algorithm

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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Superlinear convergence of the affine scaling algorithm

Superlinear convergence of the affine scaling algorithm

... The main observation used in this section is that the sequence of points {r k} obtained by conically projecting {x k} onto a constant-cost hyperplane (that is, a h[r] ...

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Design of Multichannel AP-DCD Algorithm using Matlab

Design of Multichannel AP-DCD Algorithm using Matlab

... Multichannel AP-DCD Algorithm using Matlab Sasmita Deo ∗ Abstract— This paper presented design of a low complex- ity multichannel affine projection (AP) algorithm using Dichoto- mous ...

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