{ ****************************************************************** Eigenvalues of a real upper Hessenberg matrix by the QR method ****************************************************************** } unit uhqr; interface uses utypes, uminmax; procedure Hqr(H : TMatrix; Lb, Ub, I_low, I_igh : Integer; Lambda : TCompVector); implementation procedure Hqr(H : TMatrix; Lb, Ub, I_low, I_igh : Integer; Lambda : TCompVector); { ------------------------------------------------------------------ This function is a translation of the EISPACK subroutine hqr. This function finds the eigenvalues of a real upper Hessenberg matrix by the QR method. On input: H contains the upper Hessenberg matrix. Lb, Ub are the lowest and highest indices of the elements of H I_low and I_igh are integers determined by the balancing subroutine Balance. If Balance has not been used, set I_low = Lb, I_igh = Ub On output: H has been destroyed. Wr and Wi contain the real and imaginary parts, respectively, of the eigenvalues. The eigenvalues are unordered except that complex conjugate pairs of values appear consecutively with the eigenvalue having the positive imaginary part first. The function returns an error code: zero for normal return, -j if the limit of 30*N iterations is exhausted while the j-th eigenvalue is being sought. (N being the size of the matrix). The eigenvalues should be correct for indices j+1,...,Ub. ------------------------------------------------------------------ Note: This is a crude translation. Many of the original goto's have been kept ! ------------------------------------------------------------------ } var I, J, K, L, M, N, En, Na, Itn, Its, Mp2, Enm2 : Integer; P, Q, R, S, T, W, X, Y, Z, Norm, Tst1, Tst2 : Float; NotLas : Boolean; label 60, 70, 100, 130, 150, 170, 225, 260, 270, 280, 320, 330; begin { Store roots isolated by Balance and compute matrix norm } K := Lb; Norm := 0.0; for I := Lb to Ub do begin for J := K to Ub do Norm := Norm + Abs(H[I,J]); K := I; if (I < I_low) or (I > I_igh) then begin Lambda[I].X := H[I,I]; Lambda[I].Y := 0.0; end; end; N := Ub - Lb + 1; Itn := 30 * N; En := I_igh; T := 0.0; 60: { Search for next eigenvalues } if En < I_low then begin SetErrCode(0); Exit; end; Its := 0; Na := En - 1; Enm2 := Na - 1; 70: { Look for single small sub-diagonal element } for L := En downto I_low do begin if L = I_low then goto 100; S := Abs(H[L - 1,L - 1]) + Abs(H[L,L]); if S = 0.0 then S := Norm; Tst1 := S; Tst2 := Tst1 + Abs(H[L,L - 1]); if Tst2 = Tst1 then goto 100; end; 100: { Form shift } X := H[En,En]; if L = En then goto 270; Y := H[Na,Na]; W := H[En,Na] * H[Na,En]; if L = Na then goto 280; if Itn = 0 then begin { Set error -- all eigenvalues have not converged after 30*N iterations } SetErrCode(- En); Exit; end; if (Its <> 10) and (Its <> 20) then goto 130; { Form exceptional shift } T := T + X; for I := I_low to En do H[I,I] := H[I,I] - X; S := Abs(H[En,Na]) + Abs(H[Na,Enm2]); X := 0.75 * S; Y := X; W := - 0.4375 * S * S; 130: Its := Its + 1; Itn := Itn - 1; { Look for two consecutive small sub-diagonal elements } for M := Enm2 downto L do begin Z := H[M,M]; R := X - Z; S := Y - Z; P := (R * S - W) / H[M + 1,M] + H[M,M + 1]; Q := H[M + 1,M + 1] - Z - R - S; R := H[M + 2,M + 1]; S := Abs(P) + Abs(Q) + Abs(R); P := P / S; Q := Q / S; R := R / S; if M = L then goto 150; Tst1 := Abs(P) * (Abs(H[M - 1,M - 1]) + Abs(Z) + Abs(H[M + 1,M + 1])); Tst2 := Tst1 + Abs(H[M,M - 1]) * (Abs(Q) + Abs(R)); if Tst2 = Tst1 then goto 150; end; 150: Mp2 := M + 2; for I := Mp2 to En do begin H[I,I - 2] := 0.0; if I <> Mp2 then H[I,I - 3] := 0.0; end; { Double QR step involving rows L to En and columns M to En } for K := M to Na do begin NotLas := (K <> Na); if (K = M) then goto 170; P := H[K,K - 1]; Q := H[K + 1,K - 1]; R := 0.0; if NotLas then R := H[K + 2,K - 1]; X := Abs(P) + Abs(Q) + Abs(R); if X = 0.0 then goto 260; P := P / X; Q := Q / X; R := R / X; 170: S := DSgn(Sqrt(P * P + Q * Q + R * R), P); if K <> M then H[K,K - 1] := - S * X else if L <> M then H[K,K - 1] := - H[K,K - 1]; P := P + S; X := P / S; Y := Q / S; Z := R / S; Q := Q / P; R := R / P; if NotLas then goto 225; { Row modification } for J := K to En do begin P := H[K,J] + Q * H[K + 1,J]; H[K,J] := H[K,J] - P * X; H[K + 1,J] := H[K + 1,J] - P * Y; end; J := IMin(En, K + 3); { Column modification } for I := L to J do begin P := X * H[I,K] + Y * H[I,K + 1]; H[I,K] := H[I,K] - P; H[I,K + 1] := H[I,K + 1] - P * Q; end; goto 260; 225: { Row modification } for J := K to En do begin P := H[K,J] + Q * H[K + 1,J] + R * H[K + 2,J]; H[K,J] := H[K,J] - P * X; H[K + 1,J] := H[K + 1,J] - P * Y; H[K + 2,J] := H[K + 2,J] - P * Z; end; J := IMin(En, K + 3); { Column modification } for I := L to J do begin P := X * H[I,K] + Y * H[I,K + 1] + Z * H[I,K + 2]; H[I,K] := H[I,K] - P; H[I,K + 1] := H[I,K + 1] - P * Q; H[I,K + 2] := H[I,K + 2] - P * R; end; 260: end; goto 70; 270: { One root found } Lambda[En].X := X + T; Lambda[En].Y := 0.0; En := Na; goto 60; 280: { Two roots found } P := 0.5 * (Y - X); Q := P * P + W; Z := Sqrt(Abs(Q)); X := X + T; if Q < 0.0 then goto 320; { Real pair } Z := P + DSgn(Z, P); Lambda[Na].X := X + Z; Lambda[En].X := Lambda[Na].X; if Z <> 0.0 then Lambda[En].X := X - W / Z; Lambda[Na].Y := 0.0; Lambda[En].Y := 0.0; goto 330; 320: { Complex pair } Lambda[Na].X := X + P; Lambda[En].X := X + P; Lambda[Na].Y := Z; Lambda[En].Y := - Z; 330: En := Enm2; goto 60; end; end.