API basic

Contents

• mlt_page_console_log: print log in MathLabTool's console.
  ex:

  mlt_page_console_log('Hi Code!' + '\n');
  mlt_page_console_log('Hi Code!', '\n');

• mlt_get_norm_dist_box_muller: Generate normally distributed data (box-muller).
  param:
  *num: Number of samples.
  avg: Average value.
  sr: Standard deviation.
  ex:*

  var nd = mlt_get_norm_dist_box_muller(500, 50, 20);
  mlt_page_console_log(nd, '\n');

• mlt_get_average_sum_max_min: Generate average, quantity, maximum and minimum values.
  param:
  *data: Data to be computed, array type.
  ex:*

  var ret = mlt_get_average_sum_max_min([1, 2, 3, 4]);
  mlt_page_console_log(ret, '\n');

• mlt_get_var_sr: Generate the variance and the standard deviation.
  param:
  *data: Data to be computed, array type.
  avg: Average value of data.
  ex:*

  var var_sr = mlt_get_var_sr([1, 2, 3, 4], 2.5);
  mlt_page_console_log(var_sr, '\n');

• mlt_kalman_filter: Kalman filtering.
  param:
  *data: Collect data, array type.
  Q: Q。
  R: R。
  init_P: Initialize the P value.
  init_predict_data: Initialize the predicted value.
  ex:*

  var kf = mlt_kalman_filter([1, 2, 5, 6], 0.05, 0.08, 0, 0);
  mlt_page_console_log(kf, '\n');

• mlt_calc_formula: Calculate a custom formula.
  param:
  *formula: Custom formula.
  i_var: Argument, array type.
  i_var_val: Argument value, array type.
  ex:*

  var formula = "2 * x + (4 + x / 3 + (6 - 2 * 10 / 5) - 19) + 6 / x";
  mlt_page_console_log(mlt_calc_formula(formula, ['x'], ['12']), '\n');