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Gradient analysis
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451	2000 Conference on Information Sciences and Systems, Princeton University, March 15-17, 2000 Global Optimality of Gradient Vector Flow Chenyang Xu and Jerry L. Prince 1 Center for Imaging Science, Department of Elec. an Add to Reading List Source URL: www.iacl.ece.jhu.edu Language: English - Date: 2004-08-06 10:44:49 Differential calculus Vector calculus Generalizations of the derivative Calculus of variations Vector space Derivative Active contour model Del Gradient Mathematics Algebra Mathematical analysis
452	9 Coherence Selection: Phase Cycling and Gradient Pulses† 9.1 Introduction The pulse sequence used in an NMR experiment is carefully designed to produce a particular outcome. For example, we may wish to pass the spins Add to Reading List Source URL: www-keeler.ch.cam.ac.uk Language: English - Date: 2004-02-24 13:34:46 Spectroscopy Science Wave mechanics Two-dimensional nuclear magnetic resonance spectroscopy Phase Magnetic resonance imaging Complex number Three-phase Fourier transform Physics Nuclear magnetic resonance Mathematical analysis
453	4. Coherence Selection: Phase Cycling and Gradient Pulses 4.1 Introduction The pulse sequence used in an NMR experiment is carefully designed to produce a particular outcome. For example, we may wish to pass the spins Add to Reading List Source URL: www-keeler.ch.cam.ac.uk Language: English - Date: 2002-07-23 07:32:09 Spectroscopy Science Wave mechanics Two-dimensional nuclear magnetic resonance spectroscopy Phase Magnetic resonance imaging Complex number Three-phase Fourier transform Physics Nuclear magnetic resonance Mathematical analysis
454	An Accelerated Gradient Method for Distributed Multi-Agent Planning with Factored MDPs Geoffrey J. Gordon Machine Learning Department Carnegie Mellon University Add to Reading List Source URL: www.cs.cmu.edu Language: English - Date: 2011-11-28 10:53:32 Convex optimization Operations research Linear programming Gradient descent Duality Interior point method Lagrangian relaxation Reinforcement learning Markov decision process Mathematical optimization Numerical analysis Mathematical analysis
455	Abstract The primal-dual optimization algorithm developed in Chambolle and Pock (CP), 2011 is applied to various convex optimization problems of interest in computed tomography (CT) image reconstruction. This algorithm a Add to Reading List Source URL: www.science-of-medicine.netne.net Language: English - Date: 2013-02-01 20:13:19 Convex optimization Linear programming Operations research Duality Optimization problem Gradient descent Semidefinite programming Mathematical optimization Numerical analysis Mathematical analysis
456	Chapter II Distributions and Sobolev Spaces 1 Add to Reading List Source URL: ejde.math.txstate.edu Language: English - Date: 1999-09-11 01:00:00 Differential calculus Fourier analysis Functional analysis Vector calculus Dirac delta function Distribution Derivative Continuous function Gradient Mathematical analysis Mathematics Generalized functions
457	Paracentesis and Ascites Fluid Analysis Stephen Y. Chang, M.D. June 16, 2002 THE PROCEDURE: Add to Reading List Source URL: mycourses.med.harvard.edu Language: English - Date: 2002-06-17 01:33:12 Medical tests Ascites Paracentesis Syndromes Medical emergencies Serum-ascites albumin gradient Spontaneous bacterial peritonitis Thoracentesis Cirrhosis Medicine Health Hepatology
458	The NAG Optimization Roadmap – Problems We’d Like to Solve Mick Pont, NAG Oxford [removed] Experts in numerical algorithms Add to Reading List Source URL: www.mims.manchester.ac.uk Language: English - Date: 2013-10-24 05:09:18 Mathematics Numerical Algorithms Group Quadratic programming Sequential quadratic programming Gradient method Global optimization Hessian matrix NAG Numerical Library Numerical analysis Mathematical analysis Mathematical optimization
459	() 1992 Society for Industrial and Applied Mathematics SIAM REVIEW Vol. 34, No. 4, pp[removed], December[removed] Add to Reading List Source URL: www.math.psu.edu Language: English - Date: 2013-04-10 22:53:26 Numerical analysis Multigrid method Conjugate gradient method Preconditioner Projection Coarse space Self-adjoint operator Algorithm Successive over-relaxation Mathematics Numerical linear algebra Mathematical analysis
460	A practical dual gradient-projection method for large-scale, strictly-convex quadratic programming Nick Gould STFC Rutherford Appleton Laboratory with Add to Reading List Source URL: www.mims.manchester.ac.uk Language: English - Date: 2013-10-24 05:07:09 Mathematical software Operations research Convex optimization CUTEr Harwell Subroutine Library Quadratic programming Galahad Linear programming Duality Numerical analysis Mathematical optimization Numerical software

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