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Higher order locally one-dimensional finite-difference time-domain (HO-LOD-FDTD) methods are proposed here to improve the accuracy of the four-step LOD-FDTD, five-step LOD-FDTD, and six-step LOD-FDTD methods. In the proposed HO-LOD-FDTD methods, higher order finite-difference approximations are used for all the three space derivatives; therefore, they give improved accuracy in all the three directions...
Prediction of stock market indices is an interesting and challenging research problem in financial data mining area because movement of stock indices are nonlinear and they are dependent upon different constitutional and extraneous aspects. In this paper we come up with the practice of different techniques of Artificial Neural Network (ANN) in stock market prediction. Here we have selected Multilayer...
In this paper the case of a typical line defect in 2D Photonic crystal is analyzed. The 2D photonic crystals are of dielectric rods in air in square and triangular lattice configurations. This line defect serves as waveguide with a pair of modes having opposite dispersion characteristics.
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