Results 91 to 100 of about 180 (154)
, 2007 Multi-step quasi-Newton methods for unconstrained optimization were introduced in [1, 2, 3], where it was shown how an interpolation in the variable-space could be used to generalize the Secant Equation.
I. A. Moghrabi, J. A. Ford
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Efficient iterative solutions to complex-valued nonlinear least-squares problems with mixed linear and antilinear operators. [PDF]
Optim Eng, 2022 Kim TH, Haldar JP.
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A class of gradient unconstrained minimization algorithms with adaptive stepsize
, 2000 In this paper the development, convergence theory and numerical testing of a class of gradient unconstrained minimization algorithms with adaptive stepsize are presented.
Lambrinos, JN +3 more
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Accelerated Optimization on Riemannian Manifolds via Discrete Constrained Variational Integrators. [PDF]
J Nonlinear Sci, 2022 Duruisseaux V, Leok M.
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Convex analysis on the Hermitian matrices
, 1996 There is growing interest in optimization problems with real symmetric matrices as variables. Generally the matrix functions involved are spectral: they depend only on the eigenvalues of the matrix.
A. S. Lewis
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Mitigating the Drawbacks of the L<sub>0</sub> Norm and the Total Variation Norm. [PDF]
AxiomsZeng GL.
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Optimised Sparse Image Reconstruction via Densification and Relocation
, 2023 Kang H, Chizhov V, Augustin M.
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The geometries of Jordan nets and Jordan webs. [PDF]
Ann Mat Pura Appl, 2022 Bik A, Eisenmann H, Eisenmann H.
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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
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Supervised Gromov-Wasserstein Optimal Transport with Metric-Preserving Constraints. [PDF]
SIAM J Math Data SciCang Z, Wu Y, Zhao Y.
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