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A Robust Bias Reduction Method with Geometric Constraint for TDOA-Based Localization.
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- Wireless Personal Communications, 2024, v. 138, n. 2, p. 945, doi. 10.1007/s11277-024-11541-1
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An Intelligent Offline Handwriting Recognition System Using Evolutionary Neural Learning Algorithm and Rule Based Over Segmented Data Points.
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- Journal of Research & Practice in Information Technology, 2005, v. 37, n. 1, p. 73
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Interdisciplinary Synthesis.
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- Policy Sciences, 1972, v. 3, n. 3, p. 299, doi. 10.1007/BF01413685
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IMPROVING MATRIX FACTORIZATION-BASED RECOMMENDER VIA ENSEMBLE METHODS.
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- International Journal of Information Technology & Decision Making, 2011, v. 10, n. 3, p. 539, doi. 10.1142/S0219622011004452
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Three matrix factorizations from the steps of elimination.
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- Analysis & Applications, 2022, v. 20, n. 6, p. 1147, doi. 10.1142/S0219530522400061
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Crack dynamics in a nonlinear lattice.
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- International Journal of Fracture, 2006, v. 140, n. 1-4, p. 235, doi. 10.1007/s10704-006-0064-9
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Dual-Constrained Deep Semi-Supervised Coupled Factorization Network with Enriched Prior.
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- International Journal of Computer Vision, 2021, v. 129, n. 12, p. 3233, doi. 10.1007/s11263-021-01524-1
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T-product factorization based method for matrix and tensor completion problems.
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- Computational Optimization & Applications, 2023, v. 84, n. 3, p. 761, doi. 10.1007/s10589-022-00439-y
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Completely positive factorization by a Riemannian smoothing method.
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- Computational Optimization & Applications, 2022, v. 83, n. 3, p. 933, doi. 10.1007/s10589-022-00417-4
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On a primal-dual Newton proximal method for convex quadratic programs.
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- Computational Optimization & Applications, 2022, v. 81, n. 2, p. 369, doi. 10.1007/s10589-021-00342-y
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T-product factorization method for internet traffic data completion with spatio-temporal regularization.
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- Computational Optimization & Applications, 2021, v. 80, n. 3, p. 883, doi. 10.1007/s10589-021-00315-1
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A dual simplex-type algorithm for the smallest enclosing ball of balls.
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- Computational Optimization & Applications, 2021, v. 79, n. 3, p. 767, doi. 10.1007/s10589-021-00283-6
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Low-rank factorization for rank minimization with nonconvex regularizers.
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- Computational Optimization & Applications, 2021, v. 79, n. 2, p. 273, doi. 10.1007/s10589-021-00276-5
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Issues on the use of a modified Bunch and Kaufman decomposition for large scale Newton's equation.
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- Computational Optimization & Applications, 2020, v. 77, n. 3, p. 627, doi. 10.1007/s10589-020-00225-8
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Cholesky QR-based retraction on the generalized Stiefel manifold.
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- Computational Optimization & Applications, 2019, v. 72, n. 2, p. 293, doi. 10.1007/s10589-018-0046-7
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Algorithms for positive semidefinite factorization.
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- Computational Optimization & Applications, 2018, v. 71, n. 1, p. 193, doi. 10.1007/s10589-018-9998-x
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A unified global convergence analysis of multiplicative update rules for nonnegative matrix factorization.
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- Computational Optimization & Applications, 2018, v. 71, n. 1, p. 221, doi. 10.1007/s10589-018-9997-y
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An alternating direction and projection algorithm for structure-enforced matrix factorization.
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- Computational Optimization & Applications, 2017, v. 68, n. 2, p. 333, doi. 10.1007/s10589-017-9913-x
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On the update of constraint preconditioners for regularized KKT systems.
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- Computational Optimization & Applications, 2016, v. 65, n. 2, p. 339, doi. 10.1007/s10589-016-9830-4
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State-defect constraint pairing graph coarsening method for Karush-Kuhn-Tucker matrices arising in orthogonal collocation methods for optimal control.
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- Computational Optimization & Applications, 2016, v. 64, n. 3, p. 793, doi. 10.1007/s10589-015-9821-x
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On the proximal Landweber Newton method for a class of nonsmooth convex problems.
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- Computational Optimization & Applications, 2015, v. 61, n. 1, p. 79, doi. 10.1007/s10589-014-9703-7
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Global convergence of modified multiplicative updates for nonnegative matrix factorization.
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- Computational Optimization & Applications, 2014, v. 57, n. 2, p. 417, doi. 10.1007/s10589-013-9593-0
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Modified subspace Barzilai-Borwein gradient method for non-negative matrix factorization.
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- Computational Optimization & Applications, 2013, v. 55, n. 1, p. 173, doi. 10.1007/s10589-012-9507-6
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A new modified nonmonotone adaptive trust region method for unconstrained optimization.
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- Computational Optimization & Applications, 2012, v. 53, n. 3, p. 795, doi. 10.1007/s10589-012-9460-4
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Detecting "dense" columns in interior point methods for linear programs.
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- Computational Optimization & Applications, 2007, v. 36, n. 2/3, p. 309, doi. 10.1007/s10589-006-9008-6
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On the Classification of Twisting Maps Between K and K.
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- Algebras & Representation Theory, 2011, v. 14, n. 5, p. 869, doi. 10.1007/s10468-010-9222-x
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Remarks on the McKay Conjecture.
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- Algebras & Representation Theory, 2010, v. 13, n. 5, p. 511, doi. 10.1007/s10468-009-9132-y
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Practical alternating least squares for tensor ring decomposition.
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- Numerical Linear Algebra with Applications, 2024, v. 31, n. 3, p. 1, doi. 10.1002/nla.2542
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Computing the completely positive factorization via alternating minimization.
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- Numerical Linear Algebra with Applications, 2024, v. 31, n. 2, p. 1, doi. 10.1002/nla.2535
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Efficient algorithms for computing rank‐revealing factorizations on a GPU.
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- Numerical Linear Algebra with Applications, 2023, v. 30, n. 6, p. 1, doi. 10.1002/nla.2515
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A block Cholesky‐LU‐based QR factorization for rectangular matrices.
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- Numerical Linear Algebra with Applications, 2023, v. 30, n. 5, p. 1, doi. 10.1002/nla.2497
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A flexible block classical Gram–Schmidt skeleton with reorthogonalization.
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- Numerical Linear Algebra with Applications, 2023, v. 30, n. 5, p. 1, doi. 10.1002/nla.2491
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Nonnegative canonical tensor decomposition with linear constraints: nnCANDELINC.
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- Numerical Linear Algebra with Applications, 2022, v. 29, n. 6, p. 1, doi. 10.1002/nla.2443
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The tensor Golub–Kahan–Tikhonov method applied to the solution of ill‐posed problems with a t‐product structure.
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- Numerical Linear Algebra with Applications, 2022, v. 29, n. 1, p. 1, doi. 10.1002/nla.2412
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Factorization of completely positive matrices using iterative projected gradient steps.
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- Numerical Linear Algebra with Applications, 2021, v. 28, n. 6, p. 1, doi. 10.1002/nla.2391
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Accelerating block coordinate descent for nonnegative tensor factorization.
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- Numerical Linear Algebra with Applications, 2021, v. 28, n. 5, p. 1, doi. 10.1002/nla.2373
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Multigrid for second‐order ADN elliptic systems.
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- Numerical Linear Algebra with Applications, 2019, v. 26, n. 5, p. N.PAG, doi. 10.1002/nla.2256
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Accurate computations with Laguerre matrices.
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- Numerical Linear Algebra with Applications, 2019, v. 26, n. 1, p. N.PAG, doi. 10.1002/nla.2217
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Recursive integral method with Cayley transformation.
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- Numerical Linear Algebra with Applications, 2018, v. 25, n. 6, p. N.PAG, doi. 10.1002/nla.2199
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SMASH: Structured matrix approximation by separation and hierarchy.
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- Numerical Linear Algebra with Applications, 2018, v. 25, n. 6, p. N.PAG, doi. 10.1002/nla.2204
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Multilevel approaches for FSAI preconditioning.
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- Numerical Linear Algebra with Applications, 2018, v. 25, n. 5, p. 1, doi. 10.1002/nla.2183
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A randomized tensor singular value decomposition based on the t‐product.
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- Numerical Linear Algebra with Applications, 2018, v. 25, n. 5, p. 1, doi. 10.1002/nla.2179
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Preordering saddle‐point systems for sparse LDL<sup>T</sup> factorization without pivoting.
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- Numerical Linear Algebra with Applications, 2018, v. 25, n. 5, p. 1, doi. 10.1002/nla.2173
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BFGS‐like updates of constraint preconditioners for sequences of KKT linear systems in quadratic programming.
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- Numerical Linear Algebra with Applications, 2018, v. 25, n. 5, p. 1, doi. 10.1002/nla.2144
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CLC in AMG solvers for saddle‐point problems.
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- Numerical Linear Algebra with Applications, 2018, v. 25, n. 2, p. 1, doi. 10.1002/nla.2142
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Wilkinson's inertia‐revealing factorization and its application to sparse matrices.
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- Numerical Linear Algebra with Applications, 2018, v. 25, n. 2, p. 1, doi. 10.1002/nla.2130
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A weighted singular value decomposition for the discrete inverse problems.
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- Numerical Linear Algebra with Applications, 2018, v. 25, n. 1, p. n/a, doi. 10.1002/nla.2114
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Improving the stability and robustness of incomplete symmetric indefinite factorization preconditioners.
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- Numerical Linear Algebra with Applications, 2017, v. 24, n. 5, p. n/a, doi. 10.1002/nla.2099
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A scalable parallel factorization of finite element matrices with distributed Schur complements.
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- Numerical Linear Algebra with Applications, 2016, v. 23, n. 5, p. 848, doi. 10.1002/nla.2057
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Parallel Jacobi-Davidson with block FSAI preconditioning and controlled inner iterations.
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- Numerical Linear Algebra with Applications, 2016, v. 23, n. 3, p. 394, doi. 10.1002/nla.2030
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