// IComparable
public int CompareTo(Monom <T> other)
{
int compareRes = Degree.CompareTo(other.Degree);
if (compareRes != 0)
{
return(compareRes);
}
return(Coef.CompareTo(other.Coef));
}
//Using ToString instead of ToStringSimplified might be better when doing math operations
public override string ToString()
{
string coef = "", var = "", pow = "";
coef = Coef.ToString();
pow = "^" + Power.ToString();
if (!VariableSymbol.Equals(DefaultVariableSymbol))
{
var = VariableSymbol.ToString();
}
return(string.Format("{0}{1}{2}", coef, var, pow));
}
public override bool Equals(object obj)
{
if (this == obj)
{
return(true);
}
if (obj is Monom <T> another)
{
return(Coef.Equals(another.Coef) && Degree.Equals(another.Degree));
}
else
{
return(false);
}
}
public bool SetAvrSetCoefDt()
{
if (audysseyMultEQAvrTcpClientWithTimeout != null)
{
// data for each speaker... this is a very dumb binary data pump... payload must be SECRET!
foreach (Int32[] Coef in _audysseyMultEQAvr.CoefData)
{
// transmit packets in chunks of 512 bytes
int total_byte_packets = (Coef.Length * 4) / 512;
// the last packet may have less than 512 bytes
int last_packet_length = Coef.Length - (total_byte_packets * 128);
// count for all packets
if (last_packet_length > 0)
{
total_byte_packets++;
}
// transmit all the packets
for (int current_packet = 0; current_packet < total_byte_packets; current_packet++)
{
Int32[] CopyData = current_packet < total_byte_packets - 1 ? new int[128] : new int[last_packet_length];
Array.Copy(Coef, current_packet * 128, CopyData, 0, current_packet < total_byte_packets - 1 ? 128 : last_packet_length);
bool CheckSumChecked = false;
string CmdString = "SET_COEFDT";
Console.Write(CmdString);
Console.WriteLine(Coef.ToString());
// transmit request
audysseyMultEQAvrTcpClientWithTimeout.TransmitTcpAvrStream(CmdString, audysseyMultEQAvrTcpClientWithTimeout.Int32ToByte(CopyData), current_packet, total_byte_packets - 1);;
string AvrString;
// receive rseponse
audysseyMultEQAvrTcpClientWithTimeout.ReceiveTcpAvrStream(ref CmdString, out AvrString, out CheckSumChecked);
Console.Write(CmdString);
Console.WriteLine(AvrString);
// success if all succeed
if (false == (CmdString.Equals("SET_COEFDT") && AvrString.Equals(ACK) && CheckSumChecked))
{
return(false);
}
}
}
return(true);
}
else
{
return(false);
}
}
double[] Solve(Coef a, int n, double y0, double yn)//a,b,c,f - резмеры n+1 от 0 до n
{
//метод прогонки, a - коэффициенты перед i-1 членом, b перед i, c перед i+1, d - неоднородность
int i;
double[] alpha = new double[n + 1];
double[] beta = new double[n + 1];
double[] y = new double[n + 1];
alpha[1] = 0;
beta[1] = y0;
for (i = 1; i < n; i++)
{
alpha[i + 1] = -a.C[1] / (a.A[1] * alpha[i] + a.B[1]);
beta[i + 1] = (a.F[1] - a.A[1] * beta[i]) / (a.A[1] * alpha[i] + a.B[1]);
}
y[0] = y0;
y[n] = yn;
for (i = n - 1; i > 0; i--)
{
y[i] = alpha[i + 1] * y[i + 1] + beta[i + 1];
}
return(y);
}
public void InitMono()
{
numericUpDownK.Maximum = (M = Hset.Count) + 1;
numericUpDownK.Enabled = M > 1;
ToolStripMenuItemEvaluate.Enabled = SumAbc != Abc.Zero;
string text2 = @"F[a,b,c,z]";
/*
* if(domainUpDownA.SelectedIndex == 3)
* text2 = text2.Replace(@"a", numericUpDownA.Value.ToString(CultureInfo.InvariantCulture));
* if(domainUpDownB.SelectedIndex == 3)
* text2 = text2.Replace(@"b", numericUpDownB.Value.ToString(CultureInfo.InvariantCulture));
* if(domainUpDownC.SelectedIndex == 3)
* text2 = text2.Replace(@"c", numericUpDownC.Value.ToString(CultureInfo.InvariantCulture));
* //*/
labelFs.Text = Coef.GetShiftedStr(text2, Hset.List.Data[1].AbcShift + ShiftAbc, false);
labelF0.Text = Coef.GetShiftedStr(text2, ShiftAbc, false);
Coef cf = new Coef(string.Concat(@"-(",
Hset.List.Data[0].StrFunc, @")/(",
Hset.List.Data[1].StrFunc, @")"))[ShiftAbc].Simplify();
ContFrac = new ContinuedFractionA(SumAbc, new MonoLinker <Coef>(cf));
string text1 = cf.StrFunc;
text2 = Coef.One.StrFunc;
/*
* if(domainUpDownA.SelectedIndex == 3)
* text1 = text1.Replace(@"a", numericUpDownA.Value.ToString(CultureInfo.InvariantCulture));
* if(domainUpDownB.SelectedIndex == 3)
* text1 = text1.Replace(@"b", numericUpDownB.Value.ToString(CultureInfo.InvariantCulture));
* if(domainUpDownC.SelectedIndex == 3)
* text1 = text1.Replace(@"c", numericUpDownC.Value.ToString(CultureInfo.InvariantCulture));
* text1 = Expression.Simplify(Expression.Simplify(text1), Coef.SortComparison);
* //*/
var product = Expression.SplitSum(text1);
if (product.Link == null)
{
product = Expression.SplitProduct(text1);
text1 = text2;
foreach (var v in (IEnumerable <KeyValuePair <char, string> >)product)
{
if (v.Key == '/')
{
text2 += string.Concat(@"*(", v.Value, @")");
}
else
{
text1 += string.Concat(@"*(", v.Value, @")");
}
}
}
textBox1.Text = Expression.Simplify(text1, Coef.SortComparison);
textBox2.Text = Expression.Simplify(text2, Coef.SortComparison);
if (Xi == null)
{
InitPanelXi();
}
Abc abc = ShiftAbc;
foreach (var he in Hset)
{
cf = new Coef(string.Concat(@"-(",
Coef.GetShiftedStr(he.Link.Data[1].StrFunc, he.Data[2].AbcShift, true), @")*(",
he.Data[2].StrFunc, @")/(",
Coef.GetShiftedStr(he.Link.Data[0].StrFunc, he.Data[2].AbcShift, true), @")/(",
he.Data[0].StrFunc, @")"))[abc].Simplify();
ContFrac.Coefs.Add(cf);
abc += he.Data[2].AbcShift;
text1 = cf[SumAbc * 10000].StrFunc.Replace(@"0000", @"*n");
text2 = Coef.One.StrFunc;
/*
* if(domainUpDownA.SelectedIndex == 3)
* text1 = text1.Replace(@"a", numericUpDownA.Value.ToString(CultureInfo.InvariantCulture));
* if(domainUpDownB.SelectedIndex == 3)
* text1 = text1.Replace(@"b", numericUpDownB.Value.ToString(CultureInfo.InvariantCulture));
* if(domainUpDownC.SelectedIndex == 3)
* text1 = text1.Replace(@"c", numericUpDownC.Value.ToString(CultureInfo.InvariantCulture));
* text1 = Expression.Simplify(Expression.Simplify(text1), Coef.SortComparison);
* //*/
product = Expression.SplitSum(text1);
if (product.Link == null)
{
product = Expression.SplitProduct(text1);
text1 = text2;
foreach (var v in (IEnumerable <KeyValuePair <char, string> >)product)
{
if (v.Key == '/')
{
text2 += string.Concat(@"*(", v.Value, @")");
}
else
{
text1 += string.Concat(@"*(", v.Value, @")");
}
}
}
Xi.Data.textBoxNumerator.Text = Expression.Simplify(text1, Coef.SortComparison);
Xi.Data.textBoxDenominator.Text = Expression.Simplify(text2, Coef.SortComparison);
Xi = Xi.Link;
}
ContFrac.Coefs.GetLast().Link = ContFrac.Coefs.Link;
}
public override string ToString()
{
return(NameWorker + " - коэффициент к оплате " + Coef.ToString());
}
private static double Weight(Coef flag)
{
return(_weights[flag] / _weights.Values.Sum());
}
public void Compute(bool bDataChanged)
{
Phi0 = (double)InitialData["Phi0"];
Phi1 = (double)InitialData["Phi1"];
n = (int)InitialData["n"];
L = (double)InitialData["L"];
po = (double)InitialData["po"];
Gamma = (double)InitialData["Gamma"];
U = (double)InitialData["U"];
double Pe = po * U * L / Gamma;
int i;
LineSeries ser0 = new LineSeries();
ser0.Title = this.Name + "Anal";
LineSeries ser1 = new LineSeries();
ser1.Title = this.Name + "CDS";//здесь и в следующих 2 - аппроксимация диффузного члена
LineSeries ser2 = new LineSeries();
ser2.Title = this.Name + "UDS";
LineSeries ser3 = new LineSeries();
ser3.Title = this.Name + "CDSalt";
LineSeries ser4 = new LineSeries();
ser4.Title = this.Name + "UDSalt";
double[] x = new double [n + 1];
double[] y0 = new double[n + 1];
double[] y1 = new double[n + 1];
double[] y2 = new double[n + 1];
double[] y3 = new double[n + 1];
double h = L / (n);
for (i = 0; i < n + 1; i++)
{
x[i] = i * L / (n);
y0[i] = Phi0 + ((Math.Exp(x[i] * Pe / L) - 1) / (Math.Exp(Pe) - 1)) * (Phi1 - Phi0);
}
//A*коэффициент перед yi-1+*коэффициент перед yi+C*коэффициент перед yi+1 = F; Первое значение - это нулевой коэффт(i=0), второе - это при i от 1 до n-2 и третье при i=n-1
Coef Y1 = new Coef();
double adif = -2 * Gamma / (2 * h * h);
double cdif = -2 * Gamma / (2 * h * h);
double bdif = (adif + cdif) * (-1);
double aUDS = (Math.Max(po * U, 0)) / h;//2h
double cUDS = (Math.Min(po * U, 0)) / h;
double bUDS = (aUDS + cUDS) * (-1);
double aCDS = -po * U / (2 * h);
double cCDS = po * U / (2 * h);
double bCDS = 0;
double a = aCDS + adif;
double b = bCDS + bdif;
double c = cCDS + cdif;
double[] A0 = new double[] { 0, a, 0 };
double[] B0 = new double[] { 1, b, 1 };
double[] C0 = new double[] { 0, c, 0 };
double[] F0 = new double[] { Phi0, 0, Phi1 };
Y1.init(A0, B0, C0, F0);
y1 = Solve(Y1, n, Phi0, Phi1);
Coef Y2 = new Coef();
a = adif - aUDS;
b = bdif - bUDS;
c = cdif - cUDS;
double[] A = new double[] { 0, a, 0 };
double[] B = new double[] { 1, b, 1 };
double[] C = new double[] { 0, c, 0 };
double[] F = new double[] { 0, 0, 1 };
Y2.init(A, B, C, F);
y2 = Solve(Y2, n, Phi0, Phi1);
for (i = 0; i <= n; i++)
{
ser0.Points.Add(new OxyPlot.DataPoint(x[i], y0[i]));
ser1.Points.Add(new OxyPlot.DataPoint(x[i], y1[i]));
ser2.Points.Add(new OxyPlot.DataPoint(x[i], y2[i]));
}
ListBasePlotSeries plot_ser = new ListBasePlotSeries("x", "-", "y", "-", ser0);
ListBasePlotSeries plot_ser1 = new ListBasePlotSeries("x", "-", "y", "-", ser1);
ListBasePlotSeries plot_ser2 = new ListBasePlotSeries("x", "-", "y", "-", ser2);
m_results = new SimplePlotResult();
m_results.AddSeries(plot_ser);
m_results.AddSeries(plot_ser1);
m_results.AddSeries(plot_ser2);
}
public void InverseAdditive() => Coef.InverseAdditive();
public void Divide(Monom <T> another)
{
Coef.Divide(another.Coef);
Degree -= another.Degree;
}
public void Multiply(Monom <T> another)
{
Coef.Multiply(another.Coef);
Degree += another.Degree;
}
// ICloneable public object Clone() => new Monom <T>((T)Coef.Clone(), Degree);