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1995, 1, Pitman research notes in mathematics series, ISBN 0582273706, Volume 327., 134
The conjugate gradient method is a powerful tool for the iterative solution of self-adjoint operator equations in Hilbert space.This volume summarizes and... 
Improperly posed problems | Conjugate gradient methods | Numerical analysis | Applied Mathematics | Differential Equations | Mathematical Analysis | Numerical analysis-Improperly posed problems
Book
Macromolecular rapid communications., ISSN 1022-1336, 03/2018, Volume 39, Issue 6, pp. 1700703 - n/a
Journal Article
Journal Article
Neural networks, ISSN 0893-6080, 05/2010, Volume 23, Issue 4, pp. 551 - 559
We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling... 
Policy gradients | Control | Stochastic optimisation | Robotics | Reinforcement learning | Markov Chains | Algorithms | Artificial Intelligence | Computer Simulation | Decision Support Techniques | Reinforcement (Psychology) | Models, Statistical | Neural Networks (Computer) | Analysis | Robots | Index Medicus
Journal Article
International journal of engineering science, ISSN 0020-7225, 05/2016, Volume 102, pp. 77 - 92
A size-dependent Timoshenko beam model, which accounts for through-thickness power-law variation of a two-constituent functionally graded (FG) material, is... 
Nonlocal continuum theory | Vibration | Strain gradient theory | Nonlocal strain gradient theory | Functionally graded material | Engineering | Technology | Engineering, Multidisciplinary | Science & Technology | Analysis | Stresses | Free vibration | Resonant frequency | Functionally gradient materials | Mathematical models | Equations of motion | Strain
Journal Article