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8 566 (0,098s)

Result

Fast calculations of the gradient and the Hessian in the time-domain global electromagnetic induction inverse problem

calculation of the misfit gradient, the Hessian, and the Hessian-vector product, based, an a-posteriori error analysis can benefit from the knowledge of the Hessian, the matrix......

Earth and related environmental sciences

  • 2017
  • Jimp
  • Link
Result

Minimizing quadratic functions with semidefinite Hessian subject to bound constraints

he MPRGP (modified proportioning with reduced gradient projections) algorithm is adapted to the solution of problems with a semidefinite Hessian A. The adapted strictly convex Hessian. The performance of the algorithm is de...

BA - Obecná matematika

  • 2015
  • Jx
  • Link
Result

Parallel low-memory quasi-Newton optimization algorithm for molecular structure

of the Hessian. The sparsity of the connectivity matrix and the graph theory are used to estimate multiple Hessian elements from each additional gradient calculationWe present a novel parallel gradient optimizatio...

Chemical sciences

  • 2013
  • Jimp
  • Link
Result

Parallel low-memory quasi-Newton optimization algorithm for molecular structure

of the Hessian. The sparsity of the connectivity matrix and the graph theory are used to estimate multiple Hessian elements from each additional gradient calculationWe present a novel parallel gradient optimizatio...

CF - Fyzikální chemie a teoretická chemie

  • 2013
  • Jx
  • Link
Result

Sufficient Conditions for Pseudoconvexity by Using Linear Interval Parametric Techniques

of the gradient and the Hessian of the function considered. In this paper, we present of the gradient and the Hessian. It is shown that the new approach results in more efficient......

Economic Theory

  • 2019
  • D
  • Link
Result

Interest Points as a Focus Measure

In this paper, we propose a novel focus measure that is based on algorithms for interest point detection, particularly on the Fast Hessian detector. The proposed measure is compared with the energy of image gradient and sum-modified...

JA - Elektronika a optoelektronika, elektrotechnika

  • 2012
  • D
Result

Minimizing quadratic functions subject to bound constraints with the rate oconvergence and finite termination

A new active set based algorithm is proposed that uses the conjugate gradient and the reduced gradient projection with the fixed steplength to expand the active set and the scalar product of the reduced gradient with the re...

BA - Obecná matematika

  • 2005
  • Jx
Result

An optimal algorithm for minimization of quadratic functions with bounded spectrum subject to separable convex inequality and linear equality constraints

of the Hessian of the cost function. If applied to a class of problems with the spectrum of the Hessians in a given positive interval, the algorithm can find approximate solutions. Moreover, if the class of problems admits a sparse...

BA - Obecná matematika

  • 2010
  • Jx
Result

Hessian Affine Feature Detector and Descriptor

The software detects regions of interest based on Hessian response in the scale-space. Affine iteration ensures the feature co-variance with an affine transformation. As a descriptor, the histogram of intensity gradient is used, sim...

JC - Počítačový hardware a software

  • 2011
  • R
  • Link
Result

Low Complexity Damped Gauss-Newton algorithms for CANDECOMP/PARAFAC

, the algorithmis computationally demanding due to construction of large approximate Hessian approximate Hessian in block form. The new implementation has lower computational complexity, besides computation of the gradient,...

BB - Aplikovaná statistika, operační výzkum

  • 2013
  • Jx
  • Link
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