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An IQP Implementation

Research Work Of
Linda Kaufman and Jessica Hodgins

The IQP Algorithm

The IQP Algorithm minimizes the function f(x)=(1/2)xTQx+cTx subject to the general linear equality constraints A1x = b1 and the general linear inquality constraints A2x >= b2 and the simple lower and upper bound constraints li <= xi <= ui for i = 1,2,...,n

The matix: is an mxn matrix and the vector: is an m vector. The symmetric matrix Q need not be positive definite. If Q is not positive definite, only a local minimum may be found.

Available Reference Information

Available Software

  • double precision implementation -- dall.f
  • single precision implementation -- dall.f
Mon Jan 8 08:49:05 EST 2001
ehg@research.bell-labs.com
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