Pages that link to "Item:Q3587830"
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The following pages link to Large-scale topology optimization using preconditioned Krylov subspace methods with recycling (Q3587830):
Displaying 50 items.
- Large-scale parallel topology optimization using a dual-primal substructuring solver (Q373969) (← links)
- A computational paradigm for multiresolution topology optimization (MTOP) (Q381467) (← links)
- Efficient use of iterative solvers in nested topology optimization (Q381498) (← links)
- On reducing computational effort in topology optimization: how far can we go? (Q381614) (← links)
- Single-loop system reliability-based topology optimization considering statistical dependence between limit-states (Q381662) (← links)
- Efficient generation of large-scale Pareto-optimal topologies (Q381911) (← links)
- Parallel computing techniques applied to the simultaneous design of structure and material (Q550817) (← links)
- Recycling Krylov subspaces for efficient large-scale electrical impedance tomography (Q643867) (← links)
- Multilevel sparse approximate inverse preconditioners for adaptive mesh refinement (Q1025860) (← links)
- A new preconditioner update strategy for the solution of sequences of linear systems in structural mechanics: application to saddle point problems in elasticity (Q1693306) (← links)
- An efficient reanalysis method for topological optimization of vibrating continuum structures for simple and multiple eigenfrequencies (Q1720640) (← links)
- A multi-resolution method for 3D multi-material topology optimization (Q1798582) (← links)
- Explicit and efficient topology optimization of frequency-dependent damping patches using moving morphable components and reduced-order models (Q1988239) (← links)
- Three-dimensional topology optimization of auxetic metamaterial using isogeometric analysis and model order reduction (Q2021119) (← links)
- Universal machine learning for topology optimization (Q2022034) (← links)
- A globally convergent method to accelerate topology optimization using on-the-fly model reduction (Q2022073) (← links)
- Reduced order models for Lagrangian hydrodynamics (Q2060169) (← links)
- Local Lagrangian reduced-order modeling for the Rayleigh-Taylor instability by solution manifold decomposition (Q2099719) (← links)
- A new three-level mesh method to accelerate the structural topology optimization (Q2109708) (← links)
- Machine learning for topology optimization: physics-based learning through an independent training strategy (Q2160385) (← links)
- Fast multiscale contrast independent preconditioners for linear elastic topology optimization problems (Q2226293) (← links)
- Revisiting element removal for density-based structural topology optimization with reintroduction by Heaviside projection (Q2236935) (← links)
- Accelerating the solution of linear systems appearing in two-phase reservoir simulation by the use of POD-based deflation methods (Q2240949) (← links)
- Design parameterization for topology optimization by intersection of an implicit function (Q2309066) (← links)
- Towards solving large-scale topology optimization problems with buckling constraints at the cost of linear analyses (Q2309393) (← links)
- A multi-resolution approach for multi-material topology optimization based on isogeometric analysis (Q2309955) (← links)
- A polytree-based adaptive polygonal finite element method for multi-material topology optimization (Q2310870) (← links)
- Recycling Krylov subspaces for CFD applications and a new hybrid recycling solver (Q2374862) (← links)
- Topology optimization design of 3D electrothermomechanical actuators by using GPU as a co-processor (Q2417560) (← links)
- Parallel methods for optimality criteria-based topology optimization (Q2488966) (← links)
- Krylov subspace recycling for evolving structures (Q2670308) (← links)
- Primal-dual interior point multigrid method for topology optimization (Q2818251) (← links)
- Improving multiresolution topology optimization via multiple discretizations (Q2952115) (← links)
- Total and selective reuse of Krylov subspaces for the resolution of sequences of nonlinear structural problems (Q2952230) (← links)
- Improving the efficiency of large scale topology optimization through on-the-fly reduced order model construction (Q2952629) (← links)
- Level-set topology optimization with many linear buckling constraints using an efficient and robust eigensolver (Q2952986) (← links)
- Limited memory preconditioners for symmetric indefinite problems with application to structural mechanics (Q2955987) (← links)
- Preconditioner updates for solving sequences of linear systems in matrix-free environment (Q3090810) (← links)
- ParILUT---A New Parallel Threshold ILU Factorization (Q3174779) (← links)
- Fast Algorithms for Hyperspectral Diffuse Optical Tomography (Q3447464) (← links)
- Constraint Interface Preconditioning for Topology Optimization Problems (Q3464419) (← links)
- Reducing dimensionality in topology optimization using adaptive design variable fields (Q3549873) (← links)
- Polygonal finite elements for topology optimization: A unifying paradigm (Q3567292) (← links)
- Hybrid Projection Methods with Recycling for Inverse Problems (Q4997343) (← links)
- Preconditioning Parametrized Linear Systems (Q4997402) (← links)
- Subspace Recycling--Based Regularization Methods (Q5014159) (← links)
- Hybrid Projection Methods with Recycling for Inverse Problems (Q5161739) (← links)
- Projections, Deflation, and Multigrid for Nonsymmetric Matrices (Q5210990) (← links)
- A Robust Iterative Scheme for Symmetric Indefinite Systems (Q5230616) (← links)
- Extending the eigCG algorithm to nonsymmetric Lanczos for linear systems with multiple right-hand sides (Q5502424) (← links)
