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- SLEPc the Scalable Library for Eigenvalue Problem Computations, is a software library for the solution ... problems formulated in either standard or generalized form, as well as other related problems such ... singular value decomposition or the quadratic eigenvalue problem...
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- algorithm for the complete solution of quadratic eigenvalue problems. We develop a new algorithm ... eigenvalues and optionally the right and left eigenvectors of dense quadratic matrix polynomials. It incorporates ... scaling of the problem parameters prior to the computation of eigenvalues, a choice of linearization ... reveals and deflates the zero and infinite eigenvalues contributed by singular leading and trailing matrix...
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- partially separable functions We consider the problem of minimizing a smooth objective function ... clustered eigenvalues at a minimizer x *, in which case conjugate gradient and limited memory variable ... since, except for certain test functions, the eigenvalue structure of G at or near ... traditional approach of approximating f by local quadratic models, which is computationally feasible even...
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- LSTRS is designed for large-scale quadratic problems with one norm constraint. The method ... trust-region subproblem as a parameterized eigenvalue problem, and consists of an iterative procedure that ... solution of a large-scale eigenvalue problem at each step. LSTRS relies on matrix-vector ... MATLAB implementation, the Hessian matrix of the quadratic objective function can be specified either explicitly...
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- iterative solution of large sparse quadratic eigenvalue problems...
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- duality. The dual problem is the minimization of an unconstrained, piecewise quadratic function. It involves ... lower bound of λ 1 , the smallest eigenvalue of a symmetric, positive definite matrix...
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- which the reaction Jacobian has real (negative) eigenvalues. It is based on a family ... associated with the diffusion terms that is quadratic in the number of stages. Special properties ... code make it especially attractive for problems in several spatial variables. IRKC is a successor...
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- many applications, including linear-quadratic optimal control problems, H∞-optimization, certain multibody systems, and many ... applications it is necessary to compute certain eigenvalues and/or corresponding deflating subspaces of these matrix...
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- Unfortunately, the orthogonality error of CholQR depends quadratically on the condition number of the input ... equations and for solving a symmetric eigenvalue problem, on a multicore CPU with multiple GPUs...
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- ADOL-C: Automatic Differentiation of C/C++. We present...
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- ANSYS offers a comprehensive software suite that spans...
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- ARMS: an algebraic recursive multilevel solver for general...
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- This paper describes the Automatically Tuned Linear Algebra...
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- BARON is a computational system for solving nonconvex...
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- BoomerAMG: A parallel algebraic multigrid solver and preconditioner...
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- Algorithm 812: BPOLY: An object-oriented library of...
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- The program cdd+ (cdd, respectively) is a C...
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- CLIFFORD performs various computations in Grass mann and...
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- CoCoA is a system for Computations in Commutative...