For every 100 females, there were 106.1 males. The average household size was 2.89 and the average family size was 3.20.Īge distribution was 30.7% under the age of 18, 5.9% from 18 to 24, 29.2% from 25 to 44, 23.3% from 45 to 64, and 10.9% who were 65 years of age or older. 15.1% of all households were made up of individuals, and 7.1% had someone living alone who was 65 years of age or older. There were 411 households, of which 41.6% had children under the age of 18 living with them, 74.0% were married couples living together, 3.4% had a female householder with no husband present, and 18.5% were non-families. Hispanic or Latino of any race were 0.50% of the population. The racial makeup of the township was 98.65% White, 0.34% African American, 0.25% Asian, 0.25% from other races, and 0.50% from two or more races.
There were 427 housing units at an average density of 13.0/sq mi (5.0/km 2). The population density was 36.1 inhabitants per square mile (13.9/km 2). Demographics Īt the 2000 census, there were 1,189 people, 411 households and 334 families residing in the township. Geography Īccording to the United States Census Bureau, the township has a total area of 32.7 square miles (84.7 km 2), of which 32.5 square miles (84.1 km 2) is land and 0.27 square miles (0.7 km 2), or 0.77%, is water. Milaca is a truncated form of Mille Lacs Lake. The population was 1,617 at the 2010 census. Numerical results agree with analytical solutions or with simulation results obtained by commercial software, demonstrating the accuracy, convergence, efficiency, flexibility, and adaptability of the new approach.Milaca Township is a township in Mille Lacs County, Minnesota, United States. This higher order scheme of MoM results in a significant reduction in meshing density and number of unknowns, leading to a remarkable reduction of memory and CPU time in comparison with conventional low-order MoM, while the accuracy of the solution remains at a comparable level. This method is based on both higher order geometrical modeling and higher order current modeling, which is realized using a family of higher order hierarchical vector (HHOV) basis functions to expand the equivalent volume electric currents within curvilinear volume elements. When compared with the pure MoM-VIE double higher order technique, the diakoptic approach enables very considerable accelerations and memory savings, while fully preserving the accuracy of the analysis.Īn efficient method of moments (MoM) solution of volume electric field integral equation (V-EFIE) with a kind of higher order basis functions is presented to model scattering from a dielectric object with arbitrary shapes and inhomogenuity. The examples demonstrate that the diakoptic method substantially increases the efficiency of the conventional MoM-VIE approach. The proposed VSIE-diakoptic method is validated, evaluated, and discussed in several characteristic examples. The final solution is obtained from diakoptic matrices expressing linear relations between the electric and magnetic equivalent surface current coefficients on diakoptic surfaces. Each subsystem is analyzed completely independently applying the double higher order large-domain Galerkin generalized MoM-VIE-SIE (VSIE) or MoM-SIE solvers. The method breaks the original structure into a number of nonoverlapping closed-region subsystems that contain inhomogeneous dielectric materials and an open-region subsystem. The theoretical foundation of the method is the surface and volume equivalence principles, as it combines the VIE and surface integral equation (SIE) formulations, in conjunction with the method of moments (MoM). A novel diakoptic method based on volume integral equation (VIE) modeling of subsystems is proposed for 3-D electromagnetic analysis.
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