Pages that link to "Item:Q1034598"
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The following pages link to On selecting a maximum volume sub-matrix of a matrix and related problems (Q1034598):
Displaying 43 items.
- Polynomial fitting and interpolation on circular sections (Q300175) (← links)
- Polynomial interpolation and cubature over polygons (Q633980) (← links)
- On the complexity of approximating extremal determinants in matrices (Q1346597) (← links)
- Efficient preconditioning for noisy separable nonnegative matrix factorization problems by successive projection based low-rank approximations (Q1640558) (← links)
- Exponential inapproximability of selecting a maximum volume sub-matrix (Q1939669) (← links)
- Fixed-size determinantal point processes sampling for species phylogeny (Q2022318) (← links)
- Tensor-train numerical integration of multivariate functions with singularities (Q2046409) (← links)
- Subset selection for matrices with fixed blocks (Q2066125) (← links)
- Near-optimal polynomial interpolation on spherical triangles (Q2113576) (← links)
- Some algorithms for maximum volume and cross approximation of symmetric semidefinite matrices (Q2114109) (← links)
- Near-optimal discrete optimization for experimental design: a regret minimization approach (Q2227544) (← links)
- Column subset selection is NP-complete (Q2228097) (← links)
- On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices (Q2310401) (← links)
- Linear equalities in blackbox optimization (Q2340487) (← links)
- SAGA: sparse and geometry-aware non-negative matrix factorization through non-linear local embedding (Q2512905) (← links)
- Column subset selection problem is UG-hard (Q2637653) (← links)
- Revisiting the (block) Jacobi subspace rotation method for the symmetric eigenvalue problem (Q2679692) (← links)
- Spectral tensor-train decomposition (Q2818241) (← links)
- Matrices with Hierarchical Low-Rank Structures (Q2971626) (← links)
- Geometric weakly admissible meshes, discrete least squares approximations and approximate Fekete points (Q3015049) (← links)
- Subdeterminant Maximization via Nonconvex Relaxations and Anti-Concentration (Q3387758) (← links)
- Compression of Multivariate Discrete Measures and Applications (Q3453803) (← links)
- Literature survey on low rank approximation of matrices (Q4603753) (← links)
- (Q4969236) (← links)
- Diversity Sampling is an Implicit Regularization for Kernel Methods (Q4999358) (← links)
- CUR LRA at Sublinear Cost Based on Volume Maximization (Q5014668) (← links)
- Gaussian Process Landmarking on Manifolds (Q5025781) (← links)
- Some Inapproximability Results of MAP Inference and Exponentiated Determinantal Point Processes (Q5076319) (← links)
- Proportional Volume Sampling and Approximation Algorithms for A-Optimal Design (Q5085119) (← links)
- A Local Search Framework for Experimental Design (Q5092507) (← links)
- A Spectral Approach to Network Design (Q5092510) (← links)
- Low-Rank Approximation in the Frobenius Norm by Column and Row Subset Selection (Q5146626) (← links)
- (Q5159482) (← links)
- A Robust and Scalable Implementation of the Parks-McClellan Algorithm for Designing FIR Filters (Q5270769) (← links)
- On the Use of Compressed Polyhedral Quadrature Formulas in Embedded Interface Methods (Q5275044) (← links)
- (Q5486910) (← links)
- Simpler is better: a comparative study of randomized pivoting algorithms for CUR and interpolative decompositions (Q6052452) (← links)
- Polynomial time \(\rho\)-locally maximum volume search (Q6073869) (← links)
- A hybrid stochastic interpolation and compression method for kernel matrices (Q6087910) (← links)
- On the parameterized intractability of determinant maximization (Q6547207) (← links)
- An efficient frequency-independent numerical method for computing the far-field pattern induced by polygonal obstacles (Q6575350) (← links)
- Maximal volume matrix cross approximation for image compression and least squares solution (Q6624470) (← links)
- Beyond symmetry: best submatrix selection for the sparse truncated SVD (Q6634519) (← links)