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- Description:
- This project utilizes QCI Inc.’s Qatalyst quantum optimization tools to find the most optimal solution to a randomly generated maze. The maze is traversed and mapped into a spanning tree and then transformed into a set of linear constraint functions. The constraint functions and an objective matrix are used to...
- Keyword:
- optimization
- Creator:
- Xu, Xinzhe
- Contributor:
- Hosseini, Mahdi, Li, Dongyang, DoDSTEM, and INNOVATION IN QUANTUM PEDAGOGY, APPLICATION AND ITS RELATION TO CULTURE (IQ-PARC)
- Owner:
- Dongyang Li
- Date Uploaded:
- 07/21/2023
- Date Modified:
- 07/24/2023
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- Description:
- Originally motivated by the emergence of networked systems lacking central coordination such as multiprocessors, wireless sensor networks and smart grids, the study of distributed optimization algorithms has been an active field of research spanning multiple decades. More recently, the rapid growth in the availability of high-dimensional datasets has posed the...
- Keyword:
- multi-agent systems, optimization, and distributed optimization
- Subject:
- Electrical engineering and Applied mathematics
- Creator:
- Iakovidou, Charikleia
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 09/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:16228 and etdadmin_upload_927521
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- Description:
- For stochastic simulation optimization in a modern computing era, we introduce a new parallel framework for solving very large-scale problems using a ranking & selection (R&S) approach that simulates all systems or feasible solutions to provide a global statistical guarantee. We propose a parallel adaptive survivor selection (PASS) framework that...
- Keyword:
- master-worker, simulation, parallel, stochastic, large-scale, and optimization
- Subject:
- Applied mathematics, Statistics, and Operations research
- Creator:
- Pei, Linda
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_903888 and http://dissertations.umi.com/northwestern:16108
-
- Description:
- Even though a number of techniques have been developed for motion generation and perception, few of them focus on the computational efficiency and theoretical guarantees at the same time. Typically, improved guarantees come with increased complexity, making theoretically guaranteed methods challenging use in real-time applications. Thus, existing methods usually have...
- Keyword:
- variational integrator, pose graph optimization, optimization, human pose and shape estimation, and SLAM
- Subject:
- Mathematics and Robotics
- Creator:
- Fan, Taosha
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_879523 and http://dissertations.umi.com/northwestern:15937
-
- Description:
- Providing quality transit service to travelers is a constant challenge for transit agencies. The advent of fully-autonomous vehicles (AVs) and their inclusion in mobility service fleets may allow transit agencies to offer better service or reduce their own capital and operational costs. This study focuses on the problem of allocating...
- Keyword:
- public transit, autonomous vehicles, optimization, network modeling, and shared mobility
- Subject:
- Transportation, Civil engineering, and Urban planning
- Creator:
- Pinto, Helen
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 04/15/2021
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_796818 and http://dissertations.umi.com/northwestern:15474
-
- Description:
- In this dissertation, we study models and methods to address uncertainties that can vary in optimization problems. Robust optimization is a popular approach for optimization under uncertainty, especially if limited information is available about the distribution of the uncertainty. It models the uncertainty through sets and finds a robust optimal...
- Keyword:
- variable uncertainty, optimization, decision dependent uncertainty, and robust optimization
- Subject:
- Industrial engineering and Operations research
- Creator:
- Sharma, Kartikey
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 04/29/2020
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_718511 and http://dissertations.umi.com/northwestern:14998
-
- Description:
- Polymer nanocomposites have attracted great interest in recent years because of their potential as tailored materials with enhanced properties. Recent experiments have shown that polymer nanocomposites are able to achieve significant improvement in dielectrical, thermal, mechanical and other physical properties compared with their parent polymer systems. More importantly, these outstanding...
- Keyword:
- polymer nanocomposite, simulation, machine learning, optimization, database, and data mining
- Subject:
- Mechanical engineering
- Creator:
- Wang, Yixing
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_685582 and http://dissertations.umi.com/northwestern:14811
-
- Description:
- Both individual and institutional investors face a number of constraints in their consumption and investment decisions. We look at well-motivated constraints on the consumption process as well as liquidity constraints and study their impact on optimal consumption and investment policies under a dynamic discrete time setting.
- Keyword:
- investment, optimization, liquidity, portfolio, consumption, and non-decreasing
- Subject:
- Industrial Engineering and Management Sciences
- Creator:
- Amit Vijay Bhandari
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 09/07/2018
- Date Modified:
- 09/07/2018
- Date Created:
- 2008-05-06
- Resource Type:
- Dissertation
-
- Description:
- The goal of this thesis is to design practical algorithms for nonlinear optimization in the case when the objective function is stochastic or nonsmooth. The thesis is divided into three chapters. Chapter 1 describes an active-set method for the minimization of an objective function that is structurally nonsmooth, viz., it...
- Keyword:
- machine learning, optimization, deep learning, Newton, nonsmooth, and quasi-Newton
- Subject:
- Industrial Engineering and Management Sciences
- Creator:
- Nitish Shirish Keskar
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 04/16/2018
- Date Modified:
- 04/16/2018
- Date Created:
- 2017-01-01
- Resource Type:
- Dissertation
-
- Description:
- Nearly a quarter of visits to the Emergency Department are for conditions that could have been managed via outpatient treatment; improvements that allow patients to quickly recognize and receive appropriate treatment are crucial. The growing popularity of mobile technology creates new opportunities for real-time adaptive medical intervention, and the simultaneous...
- Keyword:
- prediction, chronic pain, opioid, dynamical system, mobile health, clinical trial, optimization, sickle cell disease, and statistical model
- Creator:
- Clifton, Sara M.
- Contributor:
- Abrams, Daniel M.
- Owner:
- Sara Melinda Clifton
- Date Uploaded:
- 06/06/2017
- Date Modified:
- 06/06/2017
- Resource Type:
- Dataset
- Alternate Identifier:
- https://doi.org/10.21985/N24S3T and doi:10.21985/N24S3T