Search results for "augmented Lagrangian method"

showing 9 items of 9 documents

Optimality Conditions for Non-Qualified Parabolic Control Problems

1994

We consider parabolic state constrained optimal control problems where the usual Slater condition is not necessarily satisfied. Instead, a weaker interiority property is assumed. Optimality conditions with a Lagrange multiplier are given. As an application we present an augmented Lagrangian algorithm. Numerical test results are included.

0209 industrial biotechnologyAugmented Lagrangian method010102 general mathematicsMathematicsofComputing_NUMERICALANALYSIS02 engineering and technologyState (functional analysis)Slater's conditionOptimal control01 natural sciencessymbols.namesake020901 industrial engineering & automationLagrange multipliersymbolsApplied mathematicsNumerical tests0101 mathematicsControl (linguistics)Mathematics
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Solution of the Skyrme-Hartree–Fock–Bogolyubovequations in the Cartesian deformed harmonic-oscillator basis. (VIII) hfodd (v2.73y): A new version of …

2017

We describe the new version (v2.73y) of the code HFODD which solves the nuclear Skyrme Hartree-Fock or Skyrme Hartree-Fock-Bogolyubov problem by using the Cartesian deformed harmonic-oscillator basis. In the new version, we have implemented the following new features: (i) full proton-neutron mixing in the particle-hole channel for Skyrme functionals, (ii) the Gogny force in both particle-hole and particle-particle channels, (iii) linear multi-constraint method at finite temperature, (iv) fission toolkit including the constraint on the number of particles in the neck between two fragments, calculation of the interaction energy between fragments, and calculation of the nuclear and Coulomb ene…

Angular momentumNuclear Theory[PHYS.NUCL]Physics [physics]/Nuclear Theory [nucl-th]SYMMETRYNuclear TheoryHartree–Fock methodGeneral Physics and AstronomyFOS: Physical sciencesGogny forceSkyrme interactionNuclear density functional theorySelf-consistent mean-field01 natural sciences114 Physical sciencesNuclear Theory (nucl-th)Energy density functional theorySYSTEMSQuantum mechanics0103 physical sciences010306 general physicsHarmonic oscillator[ PHYS.NUCL ] Physics [physics]/Nuclear Theory [nucl-th]PhysicsHartree–Fock–Bogolyubovta114010308 nuclear & particles physicsAugmented Lagrangian methodInteraction energyAngular-momentum projection113 Computer and information sciencesHardware and ArchitecturePairingIsospintheoretical nuclear physicsSelf-consistent mean fieldHartree-Fock-BogolyubovPairing correlations
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A GPU-accelerated augmented Lagrangian based L1-mean curvature Image denoising algorithm implementation

2015

This paper presents a graphics processing unit (GPU) implementation of a recently published augmented Lagrangian based L1-mean curvature image denoising algorithm. The algorithm uses a particular alternating direction method of multipliers to reduce the related saddle-point problem to an iterative sequence of four simpler minimization problems. Two of these subproblems do not contain the derivatives of the unknown variables and can therefore be solved point-wise without inter-process communication. Inparticular, this facilitates the efficient solution of the subproblem that deals with the non-convex term in the original objective function by modern GPUs. The two remaining subproblems are so…

GPU výpočtyOpenCLimage denoisingodstranění šumu z obrazumean curvaturekuvankäsittelystřední zakřiveníaugmented Lagrangian methodGPU computingzpracování obrazurozšířená Lagrangianova metodaimage processing
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Gradient-enhanced model and its micromorphic regularization for simulation of Lüders-like bands in shape memory alloys

2018

Abstract Shape memory alloys, notably NiTi, often exhibit softening pseudoelastic response that results in formation and propagation of Luders-like bands upon loading, for instance, in uniaxial tension. A common approach to modelling softening and strain localization is to resort to gradient-enhanced formulations that are capable of restoring well-posedness of the boundary-value problem. This approach is also followed in the present paper by introducing a gradient-enhancement into a simple one-dimensional model of pseudoelasticity. In order to facilitate computational treatment, a micromorphic-type regularization of the gradient-enhanced model is subsequently performed. The formulation empl…

Materials scienceAugmented Lagrangian methodApplied MathematicsMechanical EngineeringUniaxial tension02 engineering and technologyShape-memory alloyMechanics021001 nanoscience & nanotechnologyCondensed Matter PhysicsEnergy minimization020303 mechanical engineering & transportsClassical mechanics0203 mechanical engineeringMechanics of MaterialsNickel titaniumModeling and SimulationRegularization (physics)PseudoelasticityGeneral Materials Science0210 nano-technologySofteningInternational Journal of Solids and Structures
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HHT-α and TR-BDF2 schemes for dynamic contact problems

2023

This work focuses on the numerical performance of HHT-α and TR-BDF2 schemes for dynamic frictionless unilateral contact problems between an elastic body and a rigid obstacle. Nitsche's method, the penalty method, and the augmented Lagrangian method are considered to handle unilateral contact conditions. Analysis of the convergence of an opposed value of the parameter α for the HHT-α method is achieved. The mass redistribution method has also been tested and compared with the standard mass matrix. Numerical results for 1D and 3D benchmarks show the functionality of the combinations of schemes and methods used.

Nitsche's methodtime-marching schemescontact problemfinite elements[NLIN] Nonlinear Sciences [physics]augmented Lagrangian method[MATH.MATH-NA] Mathematics [math]/Numerical Analysis [math.NA][PHYS.MECA] Physics [physics]/Mechanics [physics]elastodynamics
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An Automatic Differentiation Based Approach to the Level Set Method

2015

This paper discusses an implementation of the parametric level set method. Adjoint approach is used to perform the sensitivity analysis, but contrary to standard implementations, the state problem is differentiated in its discretized form. The required partial derivatives are computed using tools of automatic differentiation, which avoids the need to derive the adjoint problem from the governing partial differential equation. The augmented Lagrangian approach is used to enforce volume constraints, and a gradient based optimization method is used to solve the subproblems. Applicability of the method is demonstrated by repeating well known compliance minimization studies of a cantilever beam …

Partial differential equationLevel set methodAugmented Lagrangian methodAutomatic differentiationComputer scienceTopology optimizationPartial derivativeApplied mathematicsSensitivity (control systems)Parametric statistics
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Statistical Modeling for the Flow of Short Fibers Composites

1994

Numerical results are given for the flow of fiber composites modelled as suspensions of non spherical particles. In this framework, because the many particles rotate, their state of orientation is described with a statistical approach. We used these methods to compute coupled solutions in which the orientation of the particles is affected by the flow and the flow itself depends on the orientation of the particles. The computation methods involve an augmented lagrangian approach and a streamline upwind petrov galerkin formulation to solve the convective orientation equation.

Physics::Fluid DynamicsOrientation tensorFlow (mathematics)Augmented Lagrangian methodComputationPetrov–Galerkin methodFiberComposite materialOrientation (graph theory)Hagen–Poiseuille equationMathematics::Numerical AnalysisMathematics
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On GPU-accelerated fast direct solvers and their applications in image denoising

2015

block cyclic reductionnäytönohjaimetOpenCLnumeeriset menetelmätprosessoritimage denoisingparallel computingmean curvatureGPU computingkuvankäsittelyimage processingfast Poisson solverseparable block tridiagonal linear systemPSCR methodoptimointialgoritmitohjelmointiaugmented Lagrangian methodkohinafast direct solverrinnakkaislaskentaalternating direction methods of multipliers
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A New Augmented Lagrangian Approach for $L^1$-mean Curvature Image Denoising

2015

Variational methods are commonly used to solve noise removal problems. In this paper, we present an augmented Lagrangian-based approach that uses a discrete form of the L1-norm of the mean curvature of the graph of the image as a regularizer, discretization being achieved via a finite element method. When a particular alternating direction method of multipliers is applied to the solution of the resulting saddle-point problem, this solution reduces to an iterative sequential solution of four subproblems. These subproblems are solved using Newton’s method, the conjugate gradient method, and a partial solution variant of the cyclic reduction method. The approach considered here differs from ex…

ta113Mean curvatureDiscretizationimage denoisingAugmented Lagrangian methodApplied MathematicsGeneral Mathematicsmean curvaturekuvankäsittelyTopologyFinite element methodimage processingsymbols.namesakeLagrangian relaxationLagrange multiplierConjugate gradient methodsymbolsApplied mathematicsaugmented Lagrangian methodalternating direction methods of multipliersvariational modelMathematicsCyclic reductionSIAM Journal on Imaging Sciences
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