19 research outputs found
Local convergence of the Levenberg-Marquardt method under H\"{o}lder metric subregularity
We describe and analyse Levenberg-Marquardt methods for solving systems of
nonlinear equations. More specifically, we propose an adaptive formula for the
Levenberg-Marquardt parameter and analyse the local convergence of the method
under H\"{o}lder metric subregularity of the function defining the equation and
H\"older continuity of its gradient mapping. Further, we analyse the local
convergence of the method under the additional assumption that the
\L{}ojasiewicz gradient inequality holds. We finally report encouraging
numerical results confirming the theoretical findings for the problem of
computing moiety conserved steady states in biochemical reaction networks. This
problem can be cast as finding a solution of a system of nonlinear equations,
where the associated mapping satisfies the \L{}ojasiewicz gradient inequality
assumption.Comment: 30 pages, 10 figure
Environmental impact assessment of the pangasius sector in the Mekong Delta
In the past seven years the export of white pangasius fillets grew fast. The culture method shifted to intensive production of striped catfish (Ca Tra) in deep ponds because this is more efficient than the pen and cage culture of Ca Basa. Today, striped catfish comprises more than 90 % of the culture. The increased production was achieved by producers investing in large ponds. The market chain is gearing towards vertical integration. Most farms keep fish at relatively high densities of 15 to 25 fish/m3 in ponds having a depth of up to 4m, and are advised to exchange daily 20 to 40% of the water. The sustainability of the sector is threatened due to the increased environmental pressure, and hampered by the growing cost of inputs and reduced farm-gate prices of the fish. The Environmental Impact Assessment (EIA) intends to identify measures for preventing or mitigating the environmental impacts of catfish culture in the Mekong Delta. The EIA was a seven-step process during which we interacted twice with part of the main stakeholders. To build trust among the stakeholders from the sector, we conducted the scoping and goal setting with them
Potential benefits from the adoption of new groundnut varieties in northern Vietnam: An ex ante assessment
Enabled by land reforms and fuelled by technological change, agricultural production in Vietnam grew tremendously after the mid-1980s. Focusing on groundnut, an export-oriented cash and food crop, this paper provides estimates of potential benefits from the adoption of improved varieties in northern Vietnam. At farm level, switching over to improved varieties generates additional revenue of VND1.8 to 3.9 million per hectare (US35.8 million) at a real discount rate of 5%. These benefits will be 14% larger if the groundnut area continues to expand at the rate achieved in the recent past
Global exponential stability of a neural network for inverse variational inequalities
We investigate the convergence properties of a projected neural network for solving inverse variational inequalities. Under standard assumptions, we establish the exponential stability of the proposed neural network. A discrete version of the proposed neural network is considered, leading to a new projection method for solving inverse variational inequalities, for which we obtain the linear convergence. We illustrate the effectiveness of the proposed neural network and its explicit discretization by considering applications in the road pricing problem arising in transportation science. The results obtained in this paper provide a positive answer to a recent open question and improve several recent results in the literature.</p
Approximating optimal finite horizon feedback by model predictive control
We consider a finite-horizon continuous-time optimal control problem with nonlinear dynamics, an integral cost, control constraints and a time-varying parameter which represents perturbations or uncertainty. After discretizing the problem we employ a Model Predictive Control (MPC) approach by first solving the problem over the entire remaining time horizon and then applying the first element of the optimal discrete-time control sequence, as a constant in time function, to the continuous-time system over the sampling interval. Then the state at the end of the sampling interval is measured (estimated) with certain error, and the process is repeated at each step over the remaining horizon. As a result, we obtain a piecewise constant function of time representing MPC-generated control signal. Hence MPC turns out to be an approximation to the optimal feedback control for the continuous-time system. In our main result we derive an estimate of the difference between the MPC-generated state and control trajectories and the optimal feedback generated state and control trajectories, both obtained for the same value of the perturbation parameter, in terms of the step-size of the discretizatihttps://pure.soton.ac.uk/admin/editor/dk/atira/pure/api/shared/model/researchoutput/editor/contributiontojournaleditor.xhtml#on and the measurement error. Numerical results illustrating our estimate are reported
Phytoplasma diseases on major crops in Vietnam
The nested-PCR technique was applied to detect and identify phytoplasmas associated with major crops in Vietnam
including sugarcane, cassava and longan. Phylogenetic analysis confirmed that phytoplasmas associated with the
sugarcane grassy shoot and white leaf diseases belong to the rice yellow dwarf group (16SrXI). In cassava showing witches’ broom symptoms a mixed infection of phytoplasmas related to ‘Candidatus Phytoplasma asteris’ (group 16SrI) and ‘Ca. P. aurantifolia’ (group 16SrII) was detected. In samples showing longan witches’ broom disease three phytoplasmas including ‘Ca. P. aurantifolia’ (group 16SrII), elm yellows (group 16SrV) and “stolbur” (group 16SrXII) were identified
Passive smoking exposure and perceived health status in children seeking pediatric care services at a vietnamese tertiary hospital
10.3390/ijerph17041188International Journal of Environmental Research and Public Health174118