نتایج جستجو برای: ε constraint approach
تعداد نتایج: 1361973 فیلتر نتایج به سال:
MapReduce (MR) algorithms for maximizing monotone, submodular functions subject to a cardinality constraint (SMCC) are currently restricted the use of linear-adaptive (non-parallelizable) algorithm GREEDY. Low-adaptive do not satisfy requirements these distributed MR frameworks, thereby limiting their performance. We study SMCC problem in setting and propose first with sublinear adaptive comple...
We give algorithms for approximation by low-rank positive semidefinite (PSD) matrices. For symmetric input matrix A ∈ Rn×n, target rank k, and error parameter ε > 0, one algorithm finds with constant probability a PSD matrix Ỹ of rank k such that ‖A− Ỹ ‖2F ≤ (1+ε)‖A−Ak,+‖ 2 F , where Ak,+ denotes the best rank-k PSD approximation to A, and the norm is Frobenius. The algorithm takes time O(nnz(A...
Hepatitis B virus (HBV) pregenomic RNA contains a hairpin structure (ε) located in the preCore region, essential for viral replication. ε stability is enhanced by the presence of preCore variants and ε is recognized by the HBV polymerase (Pol). Mutations in the retrotranscriptase domain (YMDD) of Pol are associated with treatment resistance. The aim of this study was to analyze the preCore regi...
this study investigated the efficiency of wheat farms in sistan province. the data consisted of 50 samples from crop producers in the sistan region. using the simple sampling method, the data was collected by completing the questionnaires. to evaluate the farm efficiencies, the two approaches of the “data envelopment analysis” and the “optimization model including parameters to control for the ...
Multi-objective reinforcement learning involves the use of techniques to address problems with multiple objectives. To resolve this, we a hybrid multi-objective optimization method that provides mathematical guarantee all policies belonging Pareto Front can be found. The hybridization gave rise Q-Managed, which is given by ε−constraint and Q-Learning algorithm, where first limits environment dy...
Until recently, it was not known whether it was possible to sort stably (i.e., keeping equal elements in their initial order) an array of n elements using only O(n) data moves and O(1) extra space. In [13] an algorithm was given to perform this task in O(n2) comparisons in the worst case. Here, we develop a new algorithm for the problem that performs only O(n1+ε) comparisons (0 < ε ≤ 1 is any f...
In this paper we study the dynamics of the 2D-motion of a particle of monolayer. First we consider the usual physical time component and the plan manifold R2, having the polar coordinates. Then a geometric approach to nonholonomic constrained mechanical systems is applied to a problem from the two dimensional geometric dynamics of the Langmuir-Blodgett monolayer. We consider a constraint sub...
Industrial hazardous materials (hazmat) are byproduct of industrial production and include hazardous goods, such as flammable, toxic and corrosive materials that pose a risk to the environment.Hazardous waste management includes collection, transportation, treatment, recycling and disposal of industrial hazardous material in an organized manner. With the increasing industrialization of countrie...
The purpose of this article is to model and solve an integrated location, routing and inventory problem (LRIP) in cash-in-transit (CIT) sector. In real operation of cash transportation, to decrease total cost and to reduce risk of robbery of such high-value commodity. There must be substantial variation, making problem difficult to formulate. In this paper, to better fit real life applications ...
We investigate the problem of estimating a random variable Y ∈ Y under a privacy constraint dictated by another correlated random variable X ∈ X , where estimation efficiency and privacy are assessed in terms of two different loss functions. In the discrete case, we use the Hamming loss function and express the corresponding utility-privacy tradeoff in terms of the privacy-constrained guessing ...
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