Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonlinear classification and regression problems .It can better deal with the small sample, nonlinear and
Returns weighted percentiles of a sample given the weight Vector w
％ The idea is to give more emphasis in some examples of data as compared to
％ others by giving more weight. For example, we could give lower weights to
％ the outliers.
％ The motivation to write this function is to compute percentiles for Monte
％ Carlos simulations where some simulations are very bad (in terms of goodness
％ of fit between simulated and actual value) than the others and to give
％ the lower weights based on some goodness of fit criteria.
computes the gravitational acceleration Vector at a specified
％ ECF location using the JGM2 gravitational ellipsoid only.
％ Higher-order gravity terms (the "gravity anomaly") are
％ ingnored. Only the pure ellipsoid is used.
