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Gradient method
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#	Item
261	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
262	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
263	() 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
264	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
265	A Direct Adaptive Method for Faster Backpropagation Learning: The RPROP Algorithm Martin Riedmiller Heinrich Braun Add to Reading List Source URL: deeplearning.cs.cmu.edu Language: English - Date: 2013-09-09 12:05:45 Applied mathematics Mathematics Backpropagation Perceptron Multilayer perceptron Gradient descent Feedforward neural network Neural networks Cybernetics Rprop
266	Journal of Magnetic Resonance[removed]–328 www.elsevier.com/locate/jmr Single-scan longitudinal relaxation measurements in high-resolution NMR spectroscopy Nikolaus M. Loening,a,* Michael J. Thrippleton,b James K Add to Reading List Source URL: www-keeler.ch.cam.ac.uk Language: English - Date: 2003-10-07 12:40:52 Spectroscopy Scientific method Science Two-dimensional nuclear magnetic resonance spectroscopy Relaxation Spin–spin relaxation Spin–lattice relaxation Pulse sequence Gradient enhanced NMR spectroscopy Nuclear magnetic resonance Physics Magnetic resonance imaging
267	Minimizing synchronizations in sparse iterative solvers for distributed supercomputers by Sheng-Xin Zhu Add to Reading List Source URL: eprints.maths.ox.ac.uk Language: English - Date: 2013-07-30 06:19:21 Numerical linear algebra Normed spaces Group theory Vector space Inner product space Vehicle Identification Number Matrix multiplication Conjugate gradient method Iterative method Algebra Mathematics Linear algebra
268	Dual Averaging Method for Regularized Stochastic Learning and Online Optimization Lin Xiao Microsoft Research, Redmond, WA[removed]removed] Add to Reading List Source URL: machinelearning.wustl.edu Language: English - Date: 2013-03-25 14:07:10 Stochastic optimization Operations research Convex optimization Quantum field theory Stochastic gradient descent Stochastic approximation Least squares Regularization Subgradient method Mathematical optimization Numerical analysis Mathematical analysis
269	Journal of Machine Learning Research[removed]2596 Submitted 5/09; Revised 3/10; Published[removed]Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization Add to Reading List Source URL: jmlr.org Language: English - Date: 2010-10-04 16:05:00 Convex analysis Stochastic optimization Convex optimization Operations research Subgradient method Stochastic gradient descent R. Tyrrell Rockafellar Stochastic approximation Least squares Mathematical optimization Mathematical analysis Numerical analysis
270	A Newton-GMRES Method for the Parallel Navier-Stokes Equations J. Häusera, R.D. Williamsb, H.-G. Paapc, M. Speld, J. Muylaertd and R. Winkelmanna aCenter of Logistics and Expert Systems, Salzgitter, Germany bCalifornia Add to Reading List Source URL: www.ligo.caltech.edu Language: English - Date: 2002-09-04 11:24:42 Mathematics Preconditioner Computational fluid dynamics Iterative method Multigrid method Generalized minimal residual method Conjugate gradient method Navier–Stokes equations Krylov subspace Numerical analysis Numerical linear algebra Algebra

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