# CONVERGENCE_CONTROL

Section can be repeated.

This section specify parameters controlling the convergence of the free energy. [Edit on GitHub]

## Keywords

- COARSE_GRAINED_POINTS

- COARSE_GRAINED_WIDTH

- EPS_CONV

- K_CONFIDENCE_LIMIT

- MAX_COARSE_GRAINED_WIDTH

- SW_CONFIDENCE_LIMIT

- VN_CONFIDENCE_LIMIT

## Keyword descriptions

COARSE_GRAINED_POINTS: integer = 30

  Aliases: CG_POINTS

  Usage: COARSE_GRAINED_POINTS <INTEGER>

  Set the minimum amount of coarse grained points to collect before starting the statistical analysis [Edit on GitHub]

COARSE_GRAINED_WIDTH: integer = 50

  Aliases: CG_WIDTH

  Usage: COARSE_GRAINED_WIDTH <INTEGER>

  Width of segments in MD steps to generate the set of coarse grained data, providing a correlation independent data set. [Edit on GitHub]

EPS_CONV: real = 1.00000000E-002

  Usage: EPS_CONV <REAL>

  Set the relative tolerance for the convergence of the collective variable averages used to compute the free energy. [Edit on GitHub]

K_CONFIDENCE_LIMIT: real = 9.00000000E-001

  Usage: K_CONFIDENCE_LIMIT <REAL>

  Set the confidence limit for the Mann-Kendall trend test. [Edit on GitHub]

MAX_COARSE_GRAINED_WIDTH: integer = 200

  Aliases: MAX_CG_WIDTH

  Usage: MAX_COARSE_GRAINED_WIDTH <INTEGER>

  Max Width of segments in MD steps to generate the set of coarse grained data. [Edit on GitHub]

SW_CONFIDENCE_LIMIT: real = 9.00000000E-001

  Usage: SW_CONFIDENCE_LIMIT <REAL>

  Set the confidence limit for the Shapiro-Wilks normality test. [Edit on GitHub]

VN_CONFIDENCE_LIMIT: real = 9.00000000E-001

  Usage: VN_CONFIDENCE_LIMIT <REAL>

  Set the confidence limit for the Von Neumann serial correlation test. [Edit on GitHub]