/// <summary>Initializes a new instance of the <see cref="State"/> class.
/// </summary>
/// <param name="classification">The classification of the result.</param>
/// <param name="details">Additional details in its <see cref="InfoOutputProperty"/> representation.</param>
/// <param name="evaluationsNeeded">The number of function evaluations needed by the algorithm to reach the desired accuracy.</param>
/// <param name="iterationsNeeded">The number of iterations needed by the algorithm to reach the desired accuracy.</param>
protected internal State(OptimizerErrorClassification classification, IEnumerable <InfoOutputProperty> details, int evaluationsNeeded = Int32.MaxValue, int iterationsNeeded = Int32.MaxValue)
{
Classification = classification;
EvaluationsNeeded = evaluationsNeeded;
IterationsNeeded = iterationsNeeded;
InfoOutputDetailLevel = InfoOutputDetailLevel.Full;
var strBuilder = new StringBuilder();
strBuilder.AppendFormat("{0}", Classification);
if (details != null)
{
foreach (var property in details)
{
strBuilder.AppendFormat("; {0}: {1}", property.Name.String, property.Value);
}
m_InfoOutputPackageAction = infoOutputPackage =>
{
foreach (var property in details)
{
infoOutputPackage.Add(property);
}
};
}
if (iterationsNeeded < Int32.MaxValue)
{
strBuilder.AppendFormat("; Iterations needed: {0}", iterationsNeeded);
}
if (evaluationsNeeded < Int32.MaxValue)
{
strBuilder.AppendFormat("; Evaluations needed: {0}", evaluationsNeeded);
}
m_StringRepresentation = strBuilder.ToString();
}
/// <summary>Creates a new <see cref="State"/> object.
/// </summary>
/// <param name="classification">The classification of the result.</param>
/// <param name="minimum">The estimated minimum of the specific algorithm.</param>
/// <param name="evaluationsNeeded">The number of function evaluations needed by the algorithm to reach the desired accuracy.</param>
/// <param name="iterationsNeeded">The number of iterations needed by the algorithm to reach the desired accuracy.</param>
/// <param name="details">Additional details in its <see cref="InfoOutputProperty"/> representation.</param>
/// <returns>A <see cref="State"/> object that represents the state of a specific calculation.</returns>
public static State Create(OptimizerErrorClassification classification, double minimum, int evaluationsNeeded = Int32.MaxValue, int iterationsNeeded = Int32.MaxValue, params InfoOutputProperty[] details)
{
var properties = new List <InfoOutputProperty>()
{
InfoOutputProperty.Create("Minimum", minimum)
};
if (details != null)
{
properties.AddRange(details);
}
return(new State(classification, properties, evaluationsNeeded, iterationsNeeded));
}
/// <summary>Initializes a new instance of the <see cref="State"/> class.
/// </summary>
/// <param name="classification">The classification of the result.</param>
/// <param name="evaluationsNeeded">The number of function evaluations needed by the algorithm to reach the desired accuracy.</param>
/// <param name="iterationsNeeded">The number of iterations needed by the algorithm to reach the desired accuracy.</param>
protected internal State(OptimizerErrorClassification classification, int evaluationsNeeded = Int32.MaxValue, int iterationsNeeded = Int32.MaxValue)
{
Classification = classification;
EvaluationsNeeded = evaluationsNeeded;
IterationsNeeded = iterationsNeeded;
InfoOutputDetailLevel = InfoOutputDetailLevel.Full;
var strBuilder = new StringBuilder();
strBuilder.AppendFormat("{0}", Classification);
if (iterationsNeeded < Int32.MaxValue)
{
strBuilder.AppendFormat("; Iterations needed: {0}", iterationsNeeded);
}
if (evaluationsNeeded < Int32.MaxValue)
{
strBuilder.AppendFormat("; Evaluations needed: {0}", evaluationsNeeded);
}
m_StringRepresentation = strBuilder.ToString();
m_InfoOutputPackageAction = null;
}
/// <summary>Creates a new <see cref="State"/> object.
/// </summary>
/// <param name="classification">The classification of the result.</param>
/// <param name="evaluationsNeeded">The number of function evaluations needed by the algorithm to reach the desired accuracy.</param>
/// <param name="iterationsNeeded">The number of iterations needed by the algorithm to reach the desired accuracy.</param>
/// <param name="details">Additional details in its <see cref="InfoOutputProperty"/> representation.</param>
/// <returns>A <see cref="State"/> object that represents the state of a specific calculation.</returns>
public static State Create(OptimizerErrorClassification classification, int evaluationsNeeded = Int32.MaxValue, int iterationsNeeded = Int32.MaxValue, params InfoOutputProperty[] details)
{
return(new State(classification, details, evaluationsNeeded, iterationsNeeded));
}
/// <summary>Creates a new <see cref="State"/> object.
/// </summary>
/// <param name="classification">The classification of the result.</param>
/// <returns>A <see cref="State"/> object that represents the state of a specific calculation.</returns>
public static State Create(OptimizerErrorClassification classification)
{
return(new State(classification));
}
