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+*DECK ALSVDS
+ SUBROUTINE ALSVDS(U,W,V,M,N,MP,NP,B,X)
+*
+*-----------------------------------------------------------------------
+*
+*Purpose:
+* linear system solution after singular value decomposition.
+*
+*Copyright:
+* Copyright (C) 1993 Ecole Polytechnique de Montreal
+* This library is free software; you can redistribute it and/or
+* modify it under the terms of the GNU Lesser General Public
+* License as published by the Free Software Foundation; either
+* version 2.1 of the License, or (at your option) any later version
+*
+*Author(s): A. Hebert
+*
+*Parameters: input
+* U first decomposed matrix.
+* W singular values.
+* V second decomposed matrix.
+* M,N first/second mathematical dimension of matrix A
+* MP,NP first/second physical dimension of matrix A
+* B RHS vector.
+*
+*Parameters: output
+* X solution vector.
+*
+*-----------------------------------------------------------------------
+*
+ INTEGER M,MP,N,NP
+ DOUBLE PRECISION B(MP),U(MP,NP),V(NP,NP),W(NP),X(NP),S
+ INTEGER I,J,JJ
+ DOUBLE PRECISION, DIMENSION(:), ALLOCATABLE :: TMP
+*
+ ALLOCATE(TMP(NP))
+ DO 12 J=1,N
+ S=0.0D0
+ IF(W(J).NE.0.0D0)THEN
+ DO 11 I=1,M
+ S=S+U(I,J)*B(I)
+11 CONTINUE
+ S=S/W(J)
+ ENDIF
+ TMP(J)=S
+12 CONTINUE
+ DO 14 J=1,N
+ S=0.0D0
+ DO 13 JJ=1,N
+ S=S+V(J,JJ)*TMP(JJ)
+13 CONTINUE
+ X(J)=S
+14 CONTINUE
+ DEALLOCATE(TMP)
+ RETURN
+ END