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 822 for “"computational cost"”.
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Computational Cost Analysis of Large-Scale Agent-Based Epidemic Simulations
… quality nodes (natural graphs) create large computational imbalances and communication hotspots. Secondly, the computation is performed by classes of tasks that are separated by global synchronization. The non-overlapping computations cause idle times, which introduce the load balancing and …
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A Multi-Industry Exploration of Model Flexibility and Performance Trade-offs in the Era of Artificial Intelligence and Advanced Computing
… the trade-off between model performance and computational cost to understand industry-specific preferences and technology adoption dynamics. We construct a dataset of 150 published research papers that compare traditional machine learning, deep learning, and scientific computing models. Using …
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Lie algebraic similarity transformations: improving wavefunctions for weak and strong correlations
… operators that can be evaluated with polynomial computational cost via a Hamiltonian similarity transformation. Wavefunctions of this form have been studied with variational Monte Carlo methods, but we present a formalism to perform non-stochastic calculations. The Hausdorff series generated by …
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Efficient numerical methods for solving the Boltzmann equation for small scale flows
… sampling used to obtain hydrodynamic fields, the computational cost of DSMC (for a given signal to noise ratio) increases rapidly with decreasing signal. For example, the computational cost for calculating the flow velocity with a fixed signal to noise ratio scales with Ma-2 as Ma -- 0 (Ma is the …
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COMPARATIVE STUDIES OF DIFFERENT SYSTEM MODELS FOR ITERATIVE CT IMAGE RECONSTRUCTION
… an improved distance-driven model (IDDM) whose computational cost is as low as the distance-driven model (DDM) and the accuracy is comparable with the area integral model (AIM). The performance of different system models, such as pixel-driven model (PDM), ray-driven model (RDM), AIM, DDM and …
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Affordable Quantum Chemistry via Data-Driven and Local Approximations to Non-Covalent Interactions
… and clusters. Unfortunately, the expensive computational cost of QC calculations prohibits their routine use in high-throughput computational workflows. The field of machine learning (ML) offers a potential workaround to this problem. Large amounts of quantum chemistry data can be generated …
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Fast Solution Methods For Fractional Diffusion Equations and Their Applications
… matrices which require storage of O(N^2) and computational cost of O(N^3), where N is the number of grid points. </p> <p> Together we develop a fast finite difference method for the one-dimensional space fractional diffusion equation, which only requires storage of O(N) and computational cost …
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Efficient Stochastic Collocation Based Variability Analysis Using Model-Order Reduction Techniques
… The conventional Monte Carlo technique is computationally expensive due to the large number of simulations and a slow convergence rate. To address the above difficulties, a novel method is presented in this thesis for time-domain stochastic analysis of large active/passive circuits with …
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Fast Algorithm for Electrically Small Inhomogeneous Medium Structures
… or lossy materials can be solved with O( N) computational cost.
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Multi-model simulation-based optimization applied to urban transportation
… interactions; yet may do so at a greater computational cost. This thesis proposes a methodology that enables the simultaneous use of multiple traffic simulation models. We propose a simulation-based optimization algorithm that embeds information from simulation models with different levels …
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Comparison of nonlinear filtering techniques
… the feedback structure of the FPF. Also computational cost estimates are discussed, in terms of number of op- erations relative to EKF. Comparison with the conventional particle filtering ap- proaches is based on a numerical example taken from the survey article on the topic of nonlinear …
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IGFEM-based reduced-order modeling and design of nonlinear composites
… in manufacturing, development of powerful computational techniques, and increases in computational capacity, the design of material microstructures with specific macroscopic behaviors has been investigated over the past two decades. The main challenges with the solution of these inverse …
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Increasing Computational Efficiency of Pre-Crash Simulations Using Detailed and Simplified Occupant Models
… on correlative measures of injury however the computational cost of simulations 1000 msec or greater is likely too high for practical use. During the pre-crash portion of an event a simplified version of the same model could be used and would provide kinematic information while providing …
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Surrogate-based optimization using multifidelity models with variable parameterization
… models for numerical optimization. However, the computational cost of these models, combined with the large number of objective function and constraint evaluations required by optimization methods, can render such optimization computationally intractable. Surrogate-based optimization (SBO) - …
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Uncertainty-Based Methodology for the Development of Space Domain Awareness Architectures in Three-Body Regimes
… must be numerically integrated at much greater computational cost. A method was proposed that combines surrogate modeling techniques with and orbit family approach to develop an analytic parametric model of spacecraft motion. An experiment was carried out in order to interrogate the efficacy of …
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Integrated analysis and design in stochastic optimization
… The new methods substantially reduce the computational cost of optimization, which indicates that integrated analysis and design has the potential of removing a major obstacle, which is the excessive computational cost, in applying stochastic optimization to real life structural design.
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Efficient Automated Generation of Local Descriptors for Use in ab initio Electronic Structure Simulations
… theory (DFT) are well-known to have a high computational cost that scales algorithmically as O(N³), where N is the number of electrons. Reducing that cost is a key goal of the computational materials physics community and machine learning (ML) is viewed as a potential tool for that task. …
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Parallel computational methods for constrained mechanical systems
… perform pure kinematic and dynamic analyses. Its computational cost is among the lowest in comparison with other methods. In addition, constraint violation control methods are investigated to improve integration accuracy and further reduce computational cost. Constrained dynamics problems are also …
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Efficient and physically consistent electromagnetic macromodeling of high-speed interconnects exhibiting geometric uncertainties
… macromodels for multiple, coupled wire bonds. Computational efficiency in the development of the macromodel is achieved by limiting the application of the field solver to only low frequencies, at which field penetration inside the wires is accurately resolved with a coarse discretization of the …
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