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Positive Semidefinite Matrices: Characterization via Conical Hulls and Least-Squares Solution of a Matrix Equation

https://doi.org/10.1137/0326032
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-642-46216-0openalex-snapshot
Convexity and Optimization in Finite Dimensions I
inferredcites →https://doi.org/10.1137/0323032openalex-snapshot
Semi-Definite Matrix Constraints in Optimization
inferredcites →https://doi.org/10.1137/0902021openalex-snapshot
A Nonlinear Programming Problem in Statistics (Educational Testing)
inferredcites →https://doi.org/10.1515/9781400873173openalex-snapshot
Convex Analysis
inferredcites →https://doi.org/10.2307/1403291openalex-snapshot
Generalized Inverses: Theory and Applications
inferredcites →https://doi.org/10.2307/2005111openalex-snapshot
Computational Methods in Optimization: A Unified Approach

What points at this work

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Computing the nearest diagonally dominant matrix
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A note on the complex semi‐definite matrix Procrustes problem
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Positive definite constrained least-squares estimation of matrices
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Least-squares solution of F = PG over positive semidefinite symmetric P
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A new iteration method for the matrix equation AX=B
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The (M,N)-symmetric Procrustes problem
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On solutions of the quaternion matrix equation AX = B and their applications in color image restoration
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An iteration method to solve multiple constrained least squares problems
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Lyapunov-type least-squares problems over symmetric cones
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The distance to strong stability
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A semi-analytical approach for the positive semidefinite Procrustes problem
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Preserving Lagrangian structure in data-driven reduced-order modeling of large-scale dynamical systems
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Efficient stiffness matrix estimation for elastic structures
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Least-squares solutions of inverse problem for hermitian generalized Hamiltonian matrices
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Least-squares solution for inverse eigenpair problem of nonnegative definite matrices
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Dykstra's algorithm for constrained least-squares rectangular matrix problems
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Non-overshooting stabilisation via state and output feedback
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Parameter optimization: reduction of expected cost subject to constrained worst-case cost
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Positive semidefinite matrices, conical hulls, m-form numerical ranges and stabilization
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A new algorithm for the positive semi-definite Procrustes problem
inferred← citeshttps://doi.org/10.1137/0610026openalex-snapshot
On Maximizing the Minimum Eigenvalue of a Linear Combination of Symmetric Matrices
inferred← citeshttps://doi.org/10.1137/1038003openalex-snapshot
Semidefinite Programming
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Least Squares Solution of BXA T = T over Symmetric, Skew-Symmetric, and Positive Semidefinite X
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A Constrained Procrustes Problem
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Solution of symmetric positive semidefinite Procrustes problem
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