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 520 for “"parameterized"”.
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Parameterized monads in linguistics
… theories. Specifically, this dissertation uses parameterized monads, a particular theoretical framework in category theory, as a dynamic semantic framework to reinterpret the compositional Discourse Representation Theory(cDRT), and to provide an analysis of donkey anaphora. Parameterized monads …
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Parameterized types for GOO
… many programming languages is a generic type or parameterized type system. I have added support for a parameterized type system to the programming language "GOO". Besides the standard functionality, I have allowed the programmer to express some unique relationships between parameterized types …
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Parameterized Algorithmics for Network Analysis
Diese Arbeit beschäftigt sich mit der parametrisierten Komplexität NP-schwerer Berechnungsprobleme aus zwei Bereichen der Netzwerkanalyse: dem Clustern von Netzwerken und dem Querying von Netzwerken. Der Fokus liegt hierbei auf der Identifizierung neuer problemspezifischer Parameter, welche als …
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Parameterized sequential decision making problems
Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2023-12-01
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High-dimensional data driven parameterized macromodeling
L'abstract è presente nell'allegato / the abstract is in the attachment
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Parameterized Relaxations for Circuits and Graphs
… these questions from the perspective of parameterized relaxations. We consider important computational problems on circuits and graphs, and design fast algorithms for relaxed versions of these tasks, that highlight tractable instances of problems which are provably hard in general. On …
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Parameter estimation in nonlinearly parameterized systems
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 1998.
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Model-checking problems, machines and parameterized complexity
Parameterized complexity is a new approach to deal with classical <br>intractable problem. It is built on a novel notion of <br>tractability, i.e., fixed-parameter tractability, which <br>admits algorithms that have exponential running time, but <br>just in terms of parameter of the problem …
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Parameterized modeling of multiport passive circuit blocks
… These optimizers demand for the availability of parameterized compact dynamical models of all individual modules. The parameters may include geometrical parameters, such as width and spacing for an inductor or design parameters such as center frequency or characteristic impedance in case of …
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Parameterized macromodeling of passive and active dynamical systems
L'abstract è presente nell'allegato / the abstract is in the attachment
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The Parameterized Complexity of Degree Constrained Editing Problems
… editing problems within the framework of parameterized complexity. A degree constrained editing problem takes as input a graph and a set of constraints and asks whether the graph can be altered in at most k editing steps such that the degrees of the remaining vertices are within the given …
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Parameterized events for designing real-time reactive systems
The goal of the thesis is the introduction of parameterized events in TROM methodology, an object-oriented formalism for the development of real-time reactive systems. Without parameterization, a large number of events representing similar stimuli or responses are required for modeling large …
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Parameter estimation and control of nonlinearly parameterized systems
… adaptive estimation and control of nonlinearly parameterized (NLP) systems. First, a Hierarchical Min-max algorithm is invented to estimate unknown parameters in NLP systems. To relax the strong condition needed for the convergence in Hierarchical Min-max algorithm, a new Polynomial Adaptive …
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Beneficial Initializations in Over-Parameterized Machine Learning Problems
… the phenomenon of transfer learning in overparameterized machine learning. We start by showing that in over-parameterized linear regression, transfer learning is equivalent to solving regression from a non-zero initialization. We use this finding to propose LLBoost, a theoretically grounded, …
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Parameterized model order reduction for nonlinear dynamical systems
… the development of techniques for generating Parameterized Reduced Order Models (PROMs) of nonlinear dynamical systems. Such reduced order models could serve as a first step towards the automatic and accurate characterization of geometrically complex components and subcircuits, eventually …
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Over-parameterized low-rank matrix estimation: Theory, algorithms, applications
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2025-10-19 without embargo terms
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Localization and tracking of parameterized objects in point clouds
… high dimensional search space. Through a parameterized object model and certain relaxation functions, a likelihood based view of the data can be used to accomplish these goals with increased performance and reliability. Improvements in mathematics and convergence properties have shown that …
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A statically scheduling compiler for a parameterized numerical accelerator
In this work, I present a statically scheduling compiler for a numerical accelerator that parallelizes and maps algorithms to instances of a processor template. The processor template that makes up the numerical accelerator is a collection of floating point units (FPUs) connected to memories …
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Global parameter identification and control of nonlinearly parameterized systems
Nonlinearly parameterized (NLP) systems are ubiquitous in nature and many fields of science and engineering. Despite the wide and diverse range of applications, there exist relatively few results in control systems literature which exploit the structure of the nonlinear parameterization. A vast …
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