Soybean plants have limited growth with a planting period of 12 weeks, which causes the observed sample to be very small. A small soybean plant observations can bias in conclusion prediction results on growth. The purpose this study is apply bootstrap resampling technique Gompertz model overcomes residual distribution samples, research data was taken from four varieties spacing treatments, five...

We classify and review existing algorithms for computing the fundamental matrix from point correspondences and propose new effective schemes: 7-parameter Levenberg-Marquardt (LM) search, EFNS, and EFNS-based bundle adjustment. Doing experimental comparison, we show that EFNS and the 7-parameter LM search exhibit the best performance and that additional bundle adjustment does not increase the ac...

In this paper, a new method for solving a mathematical programming problem with linearly complementarity constraints (MPLCC) is introduced, which applies the Levenberg-Marquardt (L-M) method to solve the B-stationary condition of original problem. Under the MPEC-LICQ, the proposed method is proved convergent to B-stationary point of MPLCC.