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Optimization
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-
- Description:
- With the ever-increasing demand for more complex functionalities and miniaturization of photonic devices, the design of such devices requires a whole new different approach, deviating from classical photonic design approaches. Conventionally, the design of a typical photonic device starts with a prior knowledge, intuition, and practical experience of specific behavior...
- Keyword:
- Nanophotonics, Optimization, Two-photon polymerization, and Inverse design
- Subject:
- Electromagnetics
- Creator:
- Hadibrata, Wisnu
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 06/22/2022
- Date Created:
- 2022-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15967 and etdadmin_upload_885069
-
- Description:
- Recently, machine learning and deep learning, which have made many theoretical and empir- ical breakthroughs and is widely applied in various fields, attract a great number of researchers and practitioners. They have become one of the most popular research directions and plays a sig- nificant role in many fields, such...
- Keyword:
- Algorithm Design, Deep Learning, Optimization, and Machine Learning
- Subject:
- Applied mathematics and Operations research
- Creator:
- Fang, Biyi
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/02/2022
- Date Created:
- 2021-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15817 and etdadmin_upload_855647
-
- Description:
- Optimization via simulation (OvS) is the practice of minimizing or maximizing the expected value of the output of a stochastic simulation model with respect to controllable decision variables. Stochastic simulation is a standard tool within operations research and is often required to model complex systems subject to uncertainty where it...
- Keyword:
- Optimization via Simulation, Optimization, and Stochastic Simulation
- Subject:
- Industrial engineering and Operations research
- Creator:
- Semelhago, Mark
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15377 and etdadmin_upload_779793
-
- Description:
- While optimization has received much attention in the machine learning community, most of them consider unconstrained supervised learning models such as neural networks and support vector machine. In this dissertation, we introduce a new class of optimization problems called scale invariant problems that include interesting unsupervised learning models such as...
- Keyword:
- Power Iteration, PCA, Optimization, Machine Learning, Scale Invariance, and KL-NMF
- Subject:
- Applied mathematics and Operations research
- Creator:
- Kim, Cheolmin
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/01/2021
- Date Created:
- 2020-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:15139 and etdadmin_upload_744178
-
- Description:
- Recovering three-dimensional (3D) structural information of a specimen from a single two-dimensional (2D) measurement remains an important but challenging task in microscopic imaging. A conventional 2D microscopic image has a shallow depth-of-focus (DoF). Thus, recovering 3D information usually requires sequentially z-scanning the focal planes. This process is time consuming and...
- Keyword:
- Microscopy, Single-shot, Computational imaging, and Optimization
- Subject:
- Computer science
- Creator:
- He, Kuan
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- etdadmin_upload_680840 and http://dissertations.umi.com/northwestern:14776
-
- Description:
- As the global population grows, consumption of water, energy, and food will also increase, placing stresses on these sectors, raising the importance of the Water-Energy-Food Nexus (WEFN). However, operation of WEFN systems are currently not sustainable. It is thus crucial to design WEFN systems to be sustainable from local to...
- Keyword:
- Life Cycle Analysis, Ecology, Economics, Sustainability, Optimization, and Modeling
- Subject:
- Chemical engineering
- Creator:
- Garcia, Daniel
- Owner:
- Scholarly Digital Publishing
- Language:
- en
- Date Uploaded:
- 02/12/2020
- Date Created:
- 2019-01-01
- Resource Type:
- Dissertation
- Alternate Identifier:
- http://dissertations.umi.com/northwestern:14526 and etdadmin_upload_639822
-
- Description:
- Stringent demands in the sheet forming industry related to rapid and customized part realization coupled with rigorous requirements on geometric accuracy and product properties have outpaced the capabilities of traditional forming processes. As an emerging novel technology, Double-Sided Incremental Forming (DSIF) offers much higher flexibility with the complete elimination of...
- Keyword:
- Incremental Forming, Springback, Control, Optimization, and Modeling
- Subject:
- Mechanical Engineering
- Creator:
- Huaqing Ren
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 10/28/2019
- Date Modified:
- 10/28/2019
- Date Created:
- 2018-01-01
- Resource Type:
- Dissertation
-
- Description:
- Traditionally, robust optimization has solved problems based on static decisions which are predetermined by the decision makers. Once the decisions were made, the problem was solved and whenever a new uncertainty was realized, the uncertainty was incorporated to the original problem and the entire problem was solved again to account...
- Keyword:
- Adaptive Robust Optimization and Optimization
- Creator:
- Woo Soo Choe
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 11/30/2018
- Date Modified:
- 11/30/2018
-
- Description:
- The chance-constrained method is one of the major approaches to solving optimization problems under various uncertainties. It is a formulation of an optimization problem that ensures that the probability of meeting a certain constraint is above a certain level. In other words, it restricts the feasible region so that the...
- Keyword:
- Optimization and Chance-constraint method
- Creator:
- Cristine Li
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 11/30/2018
- Date Modified:
- 11/30/2018
-
- Description:
- In this work, we will focus on the “at the same time” or direct transcription approach which allow a simultaneous method for the dynamic optimization problem. In particular, we formulate the dynamic optimization model with orthogonal collocation methods. These methods can also be regarded as a special class of implicit...
- Keyword:
- Dynamic and Optimization
- Creator:
- Hanyu Shi
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 11/30/2018
- Date Modified:
- 11/30/2018
-
- Description:
- Subgradient Optimization (or Subgradient Method) is an iterative algorithm for minimizing convex functions, used predominantly in Nondifferentiable optimization for functions that are convex but nondifferentiable. It is often slower than Newton's Method when applied to convex differentiable functions, but can be used on convex nondifferentiable functions where Newton's Method will...
- Keyword:
- Subgradient and Optimization
- Creator:
- Aaron Anderson
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 11/30/2018
- Date Modified:
- 11/30/2018
-
- Description:
- Optimization with absolute values is a special case of linear programming in which a problem made nonlinear due to the presence of absolute values is solved using linear programming methods. Absolute value functions themselves are very difficult to perform standard optimization procedures on. They are not continuously differentiable functions, are...
- Keyword:
- Absolute Values and Optimization
- Creator:
- Benjamin Granger, Kathleen Zhou, and Marta Yu
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 11/29/2018
- Date Modified:
- 11/29/2018
-
- Keyword:
- Linear Approximation, Optimization, and Piecewise
- Creator:
- John Marsiglio
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 11/29/2018
- Date Modified:
- 11/29/2018
-
- Description:
- This article concerns the exponential transformation method for globally solving posynomial (or general geometric/signomial) optimization problems with nonconvex objective functions or constraints. A discussion of the method's development and use will be presented.
- Keyword:
- Exponential Transformation and Optimization
- Creator:
- Daniel Garcia
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 11/29/2018
- Date Modified:
- 11/29/2018
-
- Description:
- Optimization and Game Theory have certain conceptual overlaps. It is even said that John von Neumann conjectured the Duality Theorem using information from his game theory. This article discusses two optimization applications to the game theory: a methodology for solving the Nash Equilibrium and a decentralized model in supply chain...
- Keyword:
- Game Theory and Optimization
- Creator:
- Leon Huang
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 11/29/2018
- Date Modified:
- 11/29/2018
-
- Description:
- Aerospace collectively represents one of the most sophisticated technological endeavors and largest markets in the world. Coming with substantial costs, nearly every aspect of the industry, from aircraft design to material selection to operation, has been optimized in at least one way. A critical design consideration in any aircraft is...
- Keyword:
- Wingshape and Optimization
- Creator:
- Daniel Charles
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 11/29/2018
- Date Modified:
- 11/29/2018
-
- Description:
- With aggressive scaling down of feature sizes in VLSI fabrication, process variations, crosstalk and buffering have become critical issues to achieve timing closure in VLSI designs. Timing analysis and optimization techniques need to consider each of them and also their interactions. There are many statistical timing analysis researches to handle...
- Keyword:
- Crosstalk, Timing analysis, VLSI, Process variations, Optimization, and Buffer
- Subject:
- Electrical and Computer Engineering
- Creator:
- Rui Ming Chen
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 08/28/2018
- Date Modified:
- 08/28/2018
- Date Created:
- 2007-12-14
- Resource Type:
- Dissertation
-
- Description:
- The behavior of type-II superconductors is modeled using the time-dependent Ginzburg Landau equations (TDGLE). Pinning centers (inclusions) and geometries which maximize the critical current that can be passed through a superconductor are numerically obtained. Previous analytical results are summarized and new results are obtained for the critical current in one...
- Keyword:
- Phase Slips, Magnetic Vortices, Dynamical Systems, Optimization, and Superconductivity
- Subject:
- Engineering Sciences and Applied Mathematics
- Creator:
- Gregory Jonathan Kimmel
- Owner:
- Scholarly Digital Publishing
- Date Uploaded:
- 02/12/2018
- Date Modified:
- 02/13/2018
- Date Created:
- 2016-01-01
- Resource Type:
- Dissertation