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MULTILEVEL GRADIENT-BASED METHODS IN AERODYNAMIC SHAPE DESIGN
"... Abstract. A gradient-based method coupled with a multilevel approach is proposed for shape design in aerodynamics. This method extends an existing multilevel gradient-based formulation to another type of control subspaces, i.e. considering another set of subparametrisations and prolongation op-erato ..."
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Abstract. A gradient-based method coupled with a multilevel approach is proposed for shape design in aerodynamics. This method extends an existing multilevel gradient-based formulation to another type of control subspaces, i.e. considering another set of subparametrisations and prolongation op
AERODYNAMIC OPTIMIZATION OF AN AIRFOIL USING GRADIENT BASED METHOD
"... Abstract. A gradient based method is presented for optimization of an airfoil configuration. The flow is governed by two dimensional, compressible Euler equations. A finite volume code based on unstructured grid is developed to solve the equations. The procedure is carried out for optimizing an airf ..."
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Abstract. A gradient based method is presented for optimization of an airfoil configuration. The flow is governed by two dimensional, compressible Euler equations. A finite volume code based on unstructured grid is developed to solve the equations. The procedure is carried out for optimizing
Optical flow estimation: an error analysis of gradient-based methods with local optimization
- IEEE Trans. PAMI
, 1987
"... Abstract-Multiple views of a scene can provide important information about the structure and dynamic behavior of three-dimensional objects. Many of the methods that recover this information require the determination of optical flow-the velocity, on the image, of visible points on object surfaces. An ..."
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Cited by 91 (1 self)
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. An important class of techniques for estimating optical flow depend on the relationship between the gradients of image brightness. While gradient-based methods have been widely studied, little attention has been paid to accuracy and reliability of the approach. Gradient-based methods are sensitive
Gradient-based Methods for Production Optimization of Oil Reservoirs
"... Printed by NTNU-TrykkTo my wife and my parents ..."
Sparse Inverse Covariance Estimation via an Adaptive Gradient-Based Method
, 2010
"... We study the problem of estimating from data, a sparse approximation to the inverse covariance matrix. Estimating a sparsity constrained inverse covariance matrix is a key component in Gaussian graphical model learning, but one that is numerically very challenging. We address this challenge by devel ..."
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Cited by 1 (0 self)
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by developing a new adaptive gradient-based method that carefully combines gradient information with an adaptive step-scaling strategy, which results in a scalable, highly competitive method. Our algorithm, like its predecessors, maximizes an `1-norm penalized log-likelihood and has the same per iteration
Error Sources and Error Reduction in Gradient-Based Method with Local Optirnizat ion
"... The purpose of this study is to establish the technique for estimating optical flow with high accuracy and robustness using gradient-based method with local optimization. To obtain high accuracy, we should understand error sources and how to reduce the errors. We proposed error reduction techniques ..."
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The purpose of this study is to establish the technique for estimating optical flow with high accuracy and robustness using gradient-based method with local optimization. To obtain high accuracy, we should understand error sources and how to reduce the errors. We proposed error reduction techniques
MULTI-LEVEL GRADIENT-BASED METHODS AND PARAMETRISATION IN AERODYNAMIC SHAPE DESIGN
"... ABSTRACT. The present study focuses on multi-level approaches in the context of discrete gradient-based methods for aerodynamic shape design. More precisely, the minimisation is done alternatively on different control subspaces according to multigrid-like cycles, providing at each sub-level a partic ..."
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ABSTRACT. The present study focuses on multi-level approaches in the context of discrete gradient-based methods for aerodynamic shape design. More precisely, the minimisation is done alternatively on different control subspaces according to multigrid-like cycles, providing at each sub-level a
Gradient Based Methods for Non-Smooth Regularization Via Convolution Smoothing
, 2014
"... We present a smoothing technique which allows for the use of gradient based methods (such as steepest descent and conjugate gradients) for non-smooth regularization of inverse problems. As an application of this technique, we consider the problem of finding regularized solutions of linear systems Ax ..."
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We present a smoothing technique which allows for the use of gradient based methods (such as steepest descent and conjugate gradients) for non-smooth regularization of inverse problems. As an application of this technique, we consider the problem of finding regularized solutions of linear systems
Parallelization of Conjugate-Gradient Based Methods on GPU
"... We present a performance analysis of a parallel implementation the conjugate gradient (CG), biconjugate gradient (BiCG) and conjugate residual (CR). These solvers using graphic processing units with CUDA parallel programming model. The solvers were optimized for a fast solution of sparse systems of ..."
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We present a performance analysis of a parallel implementation the conjugate gradient (CG), biconjugate gradient (BiCG) and conjugate residual (CR). These solvers using graphic processing units with CUDA parallel programming model. The solvers were optimized for a fast solution of sparse systems
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