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This method vis-à-vis a mathematical programming procedure for optimization shows several advantages.
Here, we describe a more flexible framework for solving this problem based on an efficient mathematical programming procedure (IQP) that considers information about the geometry of the point configurations, as well as the consistency of the density distribution in the neighborhood of feature points.
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The various tools developed and utilized in this study are briefly described and include computational geometric modelling, automatic mesh generation, finite element analysis, design sensitivity analysis and mathematical programming procedures.
The partitioning of units in different floors is studied by combining a graph theory approach and a mathematical programming solution procedure.
The method is based on mathematical programming decomposition procedures and first-order reliability methods, and constitutes an efficient method for optimizing quantiles in high-dimensional settings.
This system is solved by a mathematical-programming procedure that minimizes a weighted sum of the absolute values of the residuals (the l1 norm of the vector of residuals).
The static contact problem associated to the proposed model is formulated as a linear mathematical programming problem and an incremental procedure is implemented to take into account large displacements.
FSSIM-MP consists of components (i.e. groups of equations) that capture the agricultural activities (e.g., arable, livestock, perennials) and components for inclusion of alternative policies, calibration procedures (Positive Mathematical Programming (PMP)), risk and trend analysis (Table 1).
Within the context of decision-support tools based on mathematical programming techniques, this contribution presents a procedure for constraints identification and classification.
In summary, we have proposed a fast mathematical programming method and an efficient refinement procedure for determining the accurate positions and orientations of atomic structures of components in 3D density maps of their assembly.
This paper presents a general and effective procedure based on a mathematical programming approach for composite structures optimal design, under weight, stiffness and strength criteria.
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