Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 5003 for “"Gradient"”.
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Gradient
… into the urban space? We may call this position "gradient."
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A hardware acceleration technique for gradient descent and conjugate gradient
Gradient descent, conjugate gradient, and other iterative algorithms are a powerful class of algorithms; however, they can take a long time for conver- gence. Baseline accelerator designs feature insu cient coverage of operations and do not work well on the problems we target. In this thesis we …
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Retrospective Policy Gradient
Policy Gradient (PG) methods represent a notable category of reinforcement learning algorithms, particularly effective in continuous action domains. These techniques adjust the parameters of parametric policies through stochastic gradient ascent, typically utilizing on-policy trajectory samples to …
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Polymer Gradient Materials
… and characterization of longitudinal polymer gradient materials (PGMs). The inspiration for this work comes from nature: mussel byssus threads are soft-hard gradient biomaterials. These gradient threads are formed by a polyaddition process, show unique mechanical properties and demonstrate how …
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Value-Gradient Learning
… an Adaptive Dynamic Programming method, Value-Gradient Learning, for solving a control optimisation problem, using a neural network to represent a critic function in a large continuous-valued state space. The algorithm developed, called VGL(λ), requires a learned differentiable model of the …
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Optimization of an industrial centrifugal blower using gradient-free and gradient-based (adjoint) approaches
… Bien que les méthodes d’optimisation sans gradient soient couramment utilisées pour optimiser la forme aérodynamique des turbomachines, leur coût de calcul reste généralement élevé, notamment lorsqu’un grand nombre de variables de conception est impliqué. En revanche, la méthode adjointe, …
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Production of Functionally Gradient Materials Using Model Thermosetting Systems Cured in a Thermal Gradient
Thermosetting polymers can cure at a gradient of cure temperatures due to a variety of factors, including heat transfer in the thermoset during heating and the exotherm due to the chemical reaction occurring during the cure. A new method for assessing the effect of cure conditions on mechanical …
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Gradient projection anti-windup scheme
… an open problem. To this end, we propose the gradient projection anti-windup (GPAW) scheme, which is an extension of the conditional integration method to multi-input-multi-output (MIMO) nonlinear systems, using Rosen's gradient projection method for nonlinear programming. It achieves …
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Gradient-Based Distributed Model Predictive Control
… control (DMPC). One topic of the thesis is gradient-based optimization algorithms for solving the optimization problem arising in DMPC in a distributed manner. The underlying idea is to solve the optimization problem in distributed fashion using dual decomposition, which is a well-known …
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RESTARTING POLICIES FOR ACCELERATED GRADIENT METHODS
Η παρούσα διπλωματική εργασία έχει ως σκοπό να παράσχει μία αυτοτελή περιγραφή της μεθόδου βελτιστοποίησης με επιτάχυνση και της heavy-ball μεθόδου με επανεκκίνηση. Στο πρώτο μέρος της εισάγονται οι μέθοδοι πρώτης τάξης για βελτιστοποίηση λείων κυρτών συναρτήσεων, η ιδιότητα καθόδου και οι …
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Polynomial Preconditioning for Conjugate Gradient Methods
… hermitian positive definite (hpd), the conjugate gradient method of Hestenes and Stiefel is popular. When A is hermitian indefinite (hid), the conjugate residual method may be used. If A is ill-conditioned, these methods may converge slowly, in which case a preconditioner is needed. In this thesis …
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A Gradient Algorithm for Minimax Design
Made available in DSpace on 2014-12-08T22:24:37Z (GMT). No. of bitstreams: 1 7000872.pdf: 1008293 bytes, checksum: 260c870d28137831cc6a42b76b7b14b4 (MD5) Previous issue date: 1969
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Gradient characterization in magnetic resonance imaging
… and echo-planar imaging, require speed and gradient accuracy while putting high demands on the MR gradient system that may cause gradient distortion. Additionally, high field MR scans are prone to inhomogeneities that disturb the gradient system. Regardless of the source, gradient …
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Hydrofoil shape optimization by gradient methods
… surfaces were optimized using first order gradient techniques. Optimization studies involving submerged foil sections suggest that trading buoyancy for a reduction in wave drag will lead to optimal geometries. Difficulties encountered resulting from the adoption of a potential flow model …
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Reciprocal space phase gradient neutron imaging
… An aluminum wedge produces various phase gradients and a specially designed sample is introduced as a test subject. Superposition of the waves from the sample beam path and the gradient wedge beam path creates an interferogram that suggests an inhomogeneous phase distribution. The result …
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Rotational locks for gravity gradient satellites
… motion for satellites moving in a gravity gradient field is examined using both analytical and numerical techniques. It is shown that rotational locks at spin rates of n/2 (where n is an integer) satellite rotations per orbit revolution exist for specific combinations of satellite inertia …
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Interpreting Dimension Reductions through Gradient Visualization
… of the common questions. As a solution, we use gradients of the projection to generate visual explanations of the DRs. Utilizing these gradients, we show the point-wise sensitivities of the projection with respect to the original data features to explain the reasoning of DR. The combination of …
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Gradient-Based Sensitivity Analysis with Kernels
… dimension reduction technique which uses the gradients of a function to determine important input directions. Unfortunately, we cannot expect to always have access to the gradients of our black-box functions. We thus begin by developing an estimator for the active subspace of a function using …
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Similarity in adverse pressure gradient turbulent flows
… generate increasingly adverse pressure gradient flow data for comparison with published data, to find similarities allowing categorization leading to improved flow prediction.
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