Bibliographic record for `Padula:2008:SFA'

@Article{Padula:2008:SFA,
  author =       "Anthony D. Padula and Shannon D. Scott and William W. Symes",
  title =        "A Software Framework for Abstract Expression of Coordinate-free Linear Algebra and Optimization Algorithms",
  journal =      "{ACM} Transactions on Mathematical Software",
  accepted =     "5 May 2008",
  upcoming =     "true",
  abstract =     "The Rice Vector Library is a collection of C++ classes expressing core concepts (vector, function,...) of calculus 
                 in Hilbert space with minimal implementation dependence, and providing standardized interfaces behind which to hide 
                 application-dependent implementation details (data containers, function objects). A variety of coordinate free 
                 algorithms from linear algebra and optimization, including Krylov subspace methods and various relatives of Newton's 
                 method for nonlinear equations and constrained and unconstrained optimization, may be expressed purely in terms of 
                 this system of classes. The resulting code may be used {\em without alteration} in a wide range of control, design, 
                 and parameter estimation applications, in serial and parallel computing environments.",
}