ISAAR.MSolve.Analyzers/Dynamic/NewmarkDynamicAnalyzer.cs
/// <summary>
/// Central diffences: gamma = 1/2, beta = 0. Newmark results in central diffences, a conditionally stable explicit 
/// method. To ensure stability, the time step must be &lt;= the critical step size = 2 / w,  where w is the maximum 
/// natural radian frequency. It would be more efficient to use an explicit dynamic analyzer. 
/// </summary>
Central diffences: gamma = 1/2, beta = 0. Newmark results in central diffences, a conditionally stable explicit
method. To ensure stability, the time step must be <= the critical step size = 2 / w,  where w is the maximum
natural radian frequency. It would be more efficient to use an explicit dynamic analyzer.
Central diffences : gamma = 1 / 2 beta = 0 . Newmark results in central diffences a conditionally stable explicit method . To ensure stability the time step must be < = the critical step size = 2 / w where w is the maximum natural radian frequency . It would be more efficient to use an explicit dynamic analyzer .
public void SetNewmarkParametersForCentralDifferences()
            {
                gamma = 0.5;
                beta = 0.0;
            }
public void SetNewmarkParametersForCentralDifferences ( ) { gamma = 0.5 ; beta = 0.0 ; }
Central diffences: gamma = 1/2, beta = 0.
Central diffences : gamma = 1 / 2 beta = 0 .