Esempio n. 1
0
    public override int Eval(Stack st)
    {
        int narg = GetNarg(st);

        var dgl = GetAlgebraic(st);
        var y   = GetVariable(st);
        var x   = GetVariable(st);

        var p = Poly.Coefficient(dgl, y, 1);
        var q = Poly.Coefficient(dgl, y, 0);

        var pi = LambdaINTEGRATE.Integrate(p, x);

        if (pi is Rational && !pi.IsNumber())
        {
            pi = (new LambdaRAT()).SymEval(pi);
        }

        Variable vexp = new FunctionVariable("exp", pi, new LambdaEXP());

        Algebraic dn = new Polynomial(vexp);

        var qi = LambdaINTEGRATE.Integrate(q / dn, x);

        if (qi is Rational && !qi.IsNumber())
        {
            qi = (new LambdaRAT()).SymEval(qi);
        }

        Algebraic cn = new Polynomial(new SimpleVariable("C"));

        var res = (qi + cn) * dn;

        res = (new ExpandUser()).SymEval(res);

        Debug("User Function expand: " + res);

        res = (new TrigExpand()).SymEval(res);

        Debug("Trigexpand: " + res);

        res = (new NormExp()).SymEval(res);

        Debug("Norm: " + res);

        if (res is Rational)
        {
            res = (new LambdaRAT()).SymEval(res);
        }

        res = (new TrigInverseExpand()).SymEval(res);

        Debug("Triginverse: " + res);

        res = (new SqrtExpand()).SymEval(res);

        st.Push(res);

        return(0);
    }
Esempio n. 2
0
    internal override Algebraic SymEval(Algebraic f)
    {
        if (gcd.Equals(Symbolic.ZERO))
        {
            return(f);
        }
        if (f is Polynomial)
        {
            Polynomial p = (Polynomial)f;
            if (p._v is FunctionVariable && ((FunctionVariable)p._v).Name.Equals("exp") && Poly.Degree(((FunctionVariable)p._v).Var, @var) == 1)
            {
                Algebraic arg = ((FunctionVariable)p._v).Var;

                Algebraic[] new_coef = new Algebraic[2];

                new_coef[1] = gcd.ToComplex();
                new_coef[0] = Symbolic.ZERO;

                Algebraic new_arg = new Polynomial(@var, new_coef);

                Algebraic subst = FunctionVariable.Create("exp", new_arg);
                Algebraic exp   = Poly.Coefficient(arg, @var, 1) / gcd;

                if (!(exp is Symbolic) && !((Symbolic)exp).IsInteger())
                {
                    throw new JasymcaException("Not integer exponent in exponential simplification.");
                }

                subst = subst ^ (( Symbolic )exp).ToInt();

                subst = subst * FunctionVariable.Create("exp", Poly.Coefficient(arg, @var, 0));

                int n = p.Coeffs.Length;

                Algebraic r = SymEval(p[n - 1]);

                for (int i = n - 2; i >= 0; i--)
                {
                    r = r * subst + SymEval(p[i]);
                }

                return(r);
            }
        }

        return(f.Map(this));
    }
Esempio n. 3
0
    public static Symbolic exp_gcd(ArrayList v, Variable x)
    {
        var gcd = Symbolic.ZERO;

        int k = 0;

        foreach (var t in v)
        {
            var a = (Algebraic)t;

            Algebraic c;

            if (Poly.Degree(a, x) == 1 && (c = Poly.Coefficient(a, x, 1)) is Symbolic)
            {
                k++;
                gcd = gcd.gcd(( Symbolic )c);
            }
        }

        return(k > 0 ? gcd : Symbolic.ONE);
    }
Esempio n. 4
0
        public static Vector Horowitz(Algebraic p, Polynomial q, Variable x)
        {
            if (Poly.Degree(p, x) >= Poly.Degree(q, x))
            {
                throw new SymbolicException("Degree of p must be smaller than degree of q");
            }

            p = p.Rat();

            q = ( Polynomial )q.Rat();

            var d = Poly.poly_gcd(q, q.Derive(x));
            var b = Poly.polydiv(q, d);

            var m = b is Polynomial ? (( Polynomial )b).Degree() : 0;
            var n = d is Polynomial ? (( Polynomial )d).Degree() : 0;

            var a = new SimpleVariable[m];
            var X = new Polynomial(x);

            Algebraic A = Symbol.ZERO;

            for (var i = a.Length - 1; i >= 0; i--)
            {
                a[i] = new SimpleVariable("a" + i);

                A = A + new Polynomial(a[i]);

                if (i > 0)
                {
                    A = A * X;
                }
            }

            var c = new SimpleVariable[n];

            Algebraic C = Symbol.ZERO;

            for (var i = c.Length - 1; i >= 0; i--)
            {
                c[i] = new SimpleVariable("c" + i);

                C = C + new Polynomial(c[i]);

                if (i > 0)
                {
                    C = C * X;
                }
            }

            var r = Poly.polydiv(C * b * d.Derive(x), d);

            r = b * C.Derive(x) - r + d * A;

            var aik = Matrix.CreateRectangularArray <Algebraic>(m + n, m + n);

            Algebraic cf;

            var co = new Algebraic[m + n];

            for (var i = 0; i < m + n; i++)
            {
                co[i] = Poly.Coefficient(p, x, i);

                cf = Poly.Coefficient(r, x, i);

                for (var k = 0; k < m; k++)
                {
                    aik[i][k] = cf.Derive(a[k]);
                }

                for (var k = 0; k < n; k++)
                {
                    aik[i][k + m] = cf.Derive(c[k]);
                }
            }

            var s = LambdaLINSOLVE.Gauss(new Matrix(aik), new Vector(co));

            A = Symbol.ZERO;

            for (var i = m - 1; i >= 0; i--)
            {
                A = A + s[i];

                if (i > 0)
                {
                    A = A * X;
                }
            }

            C = Symbol.ZERO;

            for (var i = n - 1; i >= 0; i--)
            {
                C = C + s[i + m];

                if (i > 0)
                {
                    C = C * X;
                }
            }

            return(new Vector(new[] { C / d, A / b }));
        }