Results 71 to 80 of about 213 (150)
On quasi-solution to infeasible linear complementarity problem obtained by Lemke’s method
Open Mathematics, 2004 Popov L.
doaj +1 more source
Initial Results Of An Mdo Method Evaluation Study
, 1998 The NASA Langley MDO method evaluation study seeks to arrive at a set of guidelines for using promising MDO methods by accumulating and analyzing computational data for such methods.
Srinivas Kodiyalam Y +5 more
core +1 more source
Optimization Of Automotive Valve Train Components With Implict Filtering
, 1998 . In this paper we show how the implicit filtering algorithm can be parallelized and applied to problems in parameter identification and optimization in automotive valve train design. We extend our previous work by using a more refined model of the valve
J. W. David +4 more
core
The efficient computation of sparse Jacobian matrices using automatic differentiation [PDF]
, 1995 This paper is concerned with the efficient computation of sparse Jacobian matrices of nonlinear vector maps using automatic differentiation (AD). Specifically, we propose the use of a graph coloring technique, bi-coloring, to exploit the sparsity of the ...
Thomas Coleman +3 more
core
Mathematical programming via the least-squares method
Open Mathematics, 2010 Übi Evald
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On compositions of special cases of Lipschitz continuous operators. [PDF]
Fixed Point Theory Algorithm Sci Eng, 2021 Giselsson P, Moursi WM.
europepmc +1 more source
Trust Region Affine Scaling Algorithms for Linearly Constrained Convex and Concave Programs
, 1996 We study a trust region affine scaling algorithm for solving the linearly constrained convex or concave programming problem. Under primal nondegeneracy assumption, we prove that every accumulation point of the sequence generated by the algorithm ...
Yanhui Wang, Renato D.C. Monteiro
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Evaluation Of Large-Scale Optimization Problems On Vector And Parallel Architectures
, 1994 . We examine the importance of problem formulation for the solution of large-scale optimization problems on high-performance architectures. We use limited memory variable metric methods to illustrate performance issues.
Jorge J. Moré, Brett M. Averick
core
CT IMAGE RECONSTRUCTION ON A LOW DIMENSIONAL MANIFOLD. [PDF]
Inverse Probl Imaging (Springfield), 2019 Cong W +5 more
europepmc +1 more source