Suchergebnisse - quadratic minimization problems with orthogonally constraints

A BLOCK LANCZOS METHOD FOR LARGE-SCALE QUADRATIC MINIMIZATION PROBLEMS WITH ORTHOGONALITY CONSTRAINTS.

Autoren: BO FENG GANG WU

Quelle: SIAM Journal on Scientific Computing; 2024, Vol. 46 Issue 2, pA884-A905, 22p

Schlagwörter: LANCZOS method, CUBES, KRYLOV subspace

Engineering Problems - Uncertainties, Constraints and Optimization Techniques

Autoren: Marcos S.G. Tsuzuki Rogerio Yugo Takimoto Andre Kubagawa Sato et al.

Resource Type: eBook.

Schlagworte: Engineering mathematics, Mathematical optimization

Categories: TECHNOLOGY & ENGINEERING / Industrial Design / General

Generalized cross validation for ℓ^p-ℓ^q minimization.

Autoren: Buccini, Alessandro Reichel, Lothar

Quelle: Numerical Algorithms; Dec2021, Vol. 88 Issue 4, p1595-1616, 22p

Schlagwörter: REGULARIZATION parameter, INVERSE problems, NOISE

Ejection chain moves for automatic neighborhood synthesis in constrained cardinality‐minimization problems.

Autoren: Adamo, Tommaso Ghiani, Gianpaolo Guerriero, Emanuela et al.

Quelle: International Transactions in Operational Research; Mar2020, Vol. 27 Issue 2, p1210-1235, 26p, 1 Diagram, 7 Charts, 4 Graphs

Schlagwörter: NEIGHBORHOODS, INTEGER programming

A Majorization-Minimization Algorithm for Neuroimage Registration.

Autoren: Gaiting Zhou Tward, Daniel Lange, Kenneth

Quelle: SIAM Journal on Imaging Sciences; 2024, Vol. 17 Issue 1, p273-300, 28p

Energy-adaptive Riemannian optimization on the Stiefel manifold.

Autoren: Altmann, Robert Peterseim, Daniel Stykel, Tatjana

Quelle: ESAIM: Mathematical Modelling & Numerical Analysis (ESAIM: M2AN); Sep/Oct2022, Vol. 56 Issue 5, p1629-1653, 25p

Schlagwörter: COMPUTATIONAL physics, GROSS-Pitaevskii equations, NONLINEAR equations, COMPUTATIONAL chemistry, THRESHOLD energy, CONJUGATE gradient methods

Data Analysis and Interpretation: Methods of Computer-Aided Measuring Transducer Theory, Morphological Analysis, Possibility Theory, and Subjective Mathematical Modeling.

Autoren: Pyt'ev, Yu. P. Chulichkov, A. I. Falomkina, O. V. et al.

Quelle: Pattern Recognition & Image Analysis; Dec2023, Vol. 33 Issue 4, p1515-1563, 49p

INVITED SYMPOSIUM.

Quelle: International Journal of Psychology; Aug2024 Supplement 1, Vol. 59 Issue 1, p113-162, 50p

Schlagwörter: BEHAVIORAL research, VISUAL memory, PERSONALITY, EMOTION recognition, COGNITIVE structures, EMPATHY, RECOLLECTION (Psychology)

Blind Decomposition of Multispectral Document Images Using Orthogonal Nonnegative Matrix Factorization.

Autoren: Rahiche, Abderrahmane Cheriet, Mohamed

Quelle: IEEE Transactions on Image Processing; 2021, Vol. 30, p5997-6012, 16p

Ordered Line Integral Methods for Solving the Eikonal Equation.

Autoren: Potter, Samuel F. Cameron, Maria K.

Quelle: Journal of Scientific Computing; Dec2019, Vol. 81 Issue 3, p2010-2050, 41p

FULLY STOCHASTIC TRUST-REGION SEQUENTIAL QUADRATIC PROGRAMMING FOR EQUALITY-CONSTRAINED OPTIMIZATION PROBLEMS.

Autoren: YUCHEN FANG SEN NA MAHONEY, MICHAEL W. et al.

Quelle: SIAM Journal on Optimization; 2024, Vol. 34 Issue 2, p2007-2037, 31p

Schlagwörter: STOCHASTIC programming, QUADRATIC programming, HESSIAN matrices, CONSTRAINED optimization, RELAXATION techniques, NONLINEAR equations, LOGISTIC regression analysis

Local Linear Convergence of the ADMM/Douglas-Rachford Algorithms without Strong Convexity and Application to Statistical Imaging.

Autoren: Aspelmeier, Timo Charithaz, C. Luke, D. Russell

Quelle: SIAM Journal on Imaging Sciences; 2016, Vol. 9 Issue 2, p842-868, 27p

Schlagwörter: CONVEX functions, MATHEMATICAL mappings, COERCIVE fields (Electronics), FIXED point theory, MULTIPLIERS (Mathematical analysis)

Acceleration by Stepsize Hedging: Multi-Step Descent and the Silver Stepsize Schedule.

Autoren: Altschuler, Jason M. Parrilo, Pablo A.

Quelle: Journal of the ACM; Apr2025, Vol. 72 Issue 2, p1-38, 38p

Schlagwörter: OPTIMIZATION algorithms, PHASE transitions, CONVEX functions, CONVEX sets, GLUE

A Strengthened SDP Relaxation for Quadratic Optimization Over the Stiefel Manifold.

Autoren: Burer, Samuel Park, Kyungchan

Quelle: Journal of Optimization Theory & Applications; Jul2024, Vol. 202 Issue 1, p320-339, 20p

Schlagwörter: SEMIDEFINITE programming, KRONECKER products, MATRIX multiplications, NP-hard problems, QUADRATIC programming

Total Generalized Variation for Piecewise Constant Functions on Triangular Meshes with Applications in Imaging.

Autoren: Baumärtner, Lukas Bergmann, Ronny Herzog, Roland et al.

Quelle: SIAM Journal on Imaging Sciences; 2023, Vol. 16 Issue 1, p313-339, 27p

COMPUTATIONAL METHODS FOR SOLVING NONCONVEX BLOCK-SEPARABLE CONSTRAINED QUADRATIC PROBLEMS.

Autoren: SHTERN, SHIMRIT BEN-TAL, AHARON

Quelle: SIAM Journal on Optimization; 2016, Vol. 26 Issue 2, p1174-1206, 33p

Schlagwörter: NONCONVEX programming, QUADRATIC programming, MATHEMATICAL bounds, APPROXIMATION theory, NP-hard problems

ON LAGRANGIAN RELAXATION OF QUADRATIC MATRIX CONSTRAINTS.

Autoren: Anstreicher, Kurt Wolkowicz, Henry

Quelle: SIAM Journal on Matrix Analysis & Applications; 2000, Vol. 22 Issue 1, p41-55, 15p

Schlagwörter: QUADRATIC programming, LAGRANGE equations, CONVEX programming, GRAPHIC methods, MATHEMATICS

An Optimal Minimization Problem in the Lowest Landau Level and Related Questions.

Autoren: Schwinte, Valentin

Quelle: Communications in Mathematical Physics; Apr2024, Vol. 405 Issue 4, p1-36, 36p

Alignable Lamella Gridshells.

Autoren: Pellis, Davide

Quelle: ACM Transactions on Graphics; Dec2024, Vol. 43 Issue 6, p1-21, 21p

Schlagwörter: COMPUTATIONAL geometry, DIFFERENTIAL geometry, INVERSE problems, GEOMETRIC shapes, GEODESICS

Approximating the closest structured singular matrix polynomial.

Autoren: Gnazzo, Miryam Guglielmi, Nicola

Quelle: Linear & Multilinear Algebra; Jun2025, Vol. 73 Issue 9, p2222-2250, 29p

Schlagwörter: ITERATIVE methods (Mathematics), MATRIX norms, SPARSE matrices, NUMERICAL calculations, MATHEMATICAL optimization, CONSTRAINT satisfaction