%----------------------------------------------------------------
% This input file exercises all built-in eigenvalue distributions 
% with ECOND=1 and ESIGN=1
%----------------------------------------------------------------
%
ECOND  1    % COND = 1 / SQRT(ULP)
ESIGN  1    % the eigenvalues may be positive, negative, or zero
%
% W(1) = 1, W( 2:N ) = 1.0/COND
%
EIGVAL
    1
  125 250 500 1000 2000
%
% W(1:N-1) = 1, W(N) = 1.0/COND
%
EIGVAL
    2
  125 250 500 1000 2000 
%
% W(I) = COND**(-(I-1)/(N-1)) 
%
EIGVAL
    3
  125 250 500 1000 2000 
%
% W(I) = 1-(I-1)/(N-1)*(1-1/COND)
%
EIGVAL
    4
  125 250 500 1000 2000 
%
% W(I) = random number in the range (1/COND,1)
%
EIGVAL
    5
  125 250 500 1000 2000 
%
% W(I) = random number from the distribution used for the matrix
%
EIGVAL
    6
  125 250 500 1000 2000 
%
% W(I) = ULP*I, I = 1,2,...N-1, and W(N) = 1.0
%
EIGVAL
    7
  125 250 500 1000 2000 
%
% W(1) = ULP, W(I) = 1+SQRT(ULP)*I, I=2,3,...N-1, and W(N)=2
%
EIGVAL
    8
  125 250 500 1000 2000 
%
% W(1) = 1, W(I) = W(I-1)+100*ULP, I=1,2,...n-1
%
EIGVAL
    9
  125 250 500 1000 2000 
%
% Tests to be performed
%
CALLST  STEGRA %  STEQRV  STEVXA  STEDCI
%
HBANDA  50
HBANDR  10
DUMP    LOG
%
END