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Large-Scale Optimization of Eigenvalues
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Multiple eigenvalues in problems of optimizing the spectral properties of systems with a finite number of degrees of freedom
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An Interior-Point Method for Semidefinite Programming
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GMRES/CR and Arnoldi/Lanczos as Matrix Approximation Problems
inferred← citeshttps://doi.org/10.1137/100786022openalex-snapshot
Minimizing the Condition Number of a Gram Matrix
inferred← citeshttps://doi.org/10.1137/110850268openalex-snapshot
Minimizing the Condition Number to Construct Design Points for Polynomial Regression Models
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Numerical Optimization of Eigenvalues of Hermitian Matrix Functions
inferred← citeshttps://doi.org/10.1137/15m1034283openalex-snapshot
Low-Rank Spectral Optimization via Gauge Duality
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Compact Two-Sided Krylov Methods for Nonlinear Eigenvalue Problems
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Condition Number Minimization in Euclidean Jordan Algebras
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Revisiting Spectral Bundle Methods: Primal-Dual (Sub)linear Convergence Rates
inferred← citeshttps://doi.org/10.1137/22m1472589openalex-snapshot
Variational Characterization and Rayleigh Quotient Iteration of 2D Eigenvalue Problem with Applications
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Finding Optimal Weight Vectors for Ridge Function Approximation in \(\boldsymbol{L}^{\boldsymbol{2}}\boldsymbol{(D)}\)
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Fastest Mixing Markov Chain on a Graph
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The Fastest Mixing Markov Process on a Graph and a Connection to a Maximum Variance Unfolding Problem
inferred← citeshttps://doi.org/10.1137/s089547980036838xopenalex-snapshot
Twice Differentiable Spectral Functions
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A Hybrid Algorithm for Optimizing Eigenvalues of Symmetric Definite Pencils
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Second Derivatives for Optimizing Eigenvalues of Symmetric Matrices
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Group Invariance and Convex Matrix Analysis
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Primal-Dual Gradient Structured Functions: Second-Order Results; Links to Epi-Derivatives and Partly Smooth Functions
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On Extending Some Primal--Dual Interior-Point Algorithms From Linear Programming to Semidefinite Programming
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Reconstruction with Noisy Data: An Approach via Eigenvalue Optimization
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The $\U$-Lagrangian of the Maximum Eigenvalue Function
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A Spectral Bundle Method for Semidefinite Programming
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On $\mathcalVU$-theory for Functions with Primal-Dual Gradient Structure
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Convex Relaxations of (0, 1)-Quadratic Programming
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The Simplest Semidefinite Programs are Trivial
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Derivatives of Spectral Functions
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On the Rank of Extreme Matrices in Semidefinite Programs and the Multiplicity of Optimal Eigenvalues
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Optimal Diagonal Preconditioning
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Approximate residual-minimizing shift parameters for the low-rank ADI iteration
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Optimization of resonances for multilayer x-ray resonators
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Numerical methods for optimization of eigenvalues
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Computation of Khun-Tucker triples in optimum design problems in the presence of parametric singularities
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Topics on nonparametric calibration, kernel ridge regression imputation\\ and nonparametric propensity score estimation
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SHAPE OPTIMIZATION OF SPACE STRUCTURES FOR BUCKLING LOAD
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Topology optimization considering stress, fatigue and load uncertainties
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Applications of Topology Optimization Techniques in Seismic Design of Structure
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A Monotonic Algorithm for Eigenvalue Optimization in Shape Design Problems of Multi-Density Inhomogeneous Materials
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Об оценках первого собственного значения в некоторых задачах Штурма - Лиувилля
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Geometric Optimization Methods for Adaptive Filtering
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Residual minimizing shift parameters for the low-rank ADI iteration
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A sequential semidefinite programming method and an application in passive reduced-order modeling
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Optimized Eigenstructure Assignment
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On Extreme Singular Values of Matrix Valued Functions
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Graph-Convex Mappings and K-Convex Functions
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The Chain Rule for VU-Decompositions of Nonsmooth Functions
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