Browsing Mathematics (Faculty of) by Title
Now showing items 601-620 of 2998
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Data-Driven Models: An Alternative Discrete Hedging Strategy
(University of Waterloo, 2023-08-16)Options hedging is a critical problem in financial risk management. The prevailing approach in financial derivative pricing and hedging has been to first assume a parametric model describing the underlying price dynamics. ... -
Data-intensive Scheduling
(University of Waterloo, 2019-09-19)In many modern data management scenarios, we encounter tasks, operations or computational phases that are data-intensive where the sheer volume of data proves to be overwhelming to handle and becomes a performance bottleneck. ... -
Database High Availability using SHADOW Systems
(University of Waterloo, 2014-03-21)Various High Availability DataBase systems (HADB) are used to provide high availability. Pairing an active database system with a standby system is one commonly used HADB techniques. The active system serves read/write ... -
The de Broglie-Bohm Causal Interpretation of Quantum Mechanics and its Application to some Simple Systems
(University of Waterloo, 2003)The de Broglie-Bohm causal interpretation of quantum mechanics is discussed, and applied to the hydrogen atom in several contexts. Prominent critiques of the causal program are noted and responses are given; it is argued ... -
Debate: what is the best method to monitor surgical performance?
(BioMed Central, 2016-04-05)Background There is considerable recent interest in the monitoring of individual surgeon or hospital surgical outcomes. If one aggregates data over time and assesses performance with a funnel plot, then the detection ... -
Decay Makes Supervised Predictive Coding Generative
(University of Waterloo, 2020-08-19)Predictive Coding is a hierarchical model of neural computation that approximates backpropagation using only local computations and local learning rules. An important aspect of Predictive Coding is the presence of feedback ... -
Decentralized contact tracing protocols and a risk analysis approach to pandemic control
(University of Waterloo, 2022-12-23)Non-pharmaceutical interventions (NPIs) can protect against pandemic pathogens, but they depend on behaviour change, and so can impose costs on quality of life and civil liberties. With careful system design and risk ... -
Decentralized Runtime Verification of LTL Specifications in Distributed Systems
(University of Waterloo, 2016-09-26)Runtime verification is a lightweight automated formal method for specification-based run- time monitoring as well as testing of large real-world systems. While numerous techniques exist for runtime verification of sequential ... -
Decentralized Web Search
(University of Waterloo, 2012-06-18)Centrally controlled search engines will not be sufficient and reliable for indexing and searching the rapidly growing World Wide Web in near future. A better solution is to enable the Web to index itself in a decentralized ... -
Decidability and Algorithmic Analysis of Dependent Object Types (DOT)
(University of Waterloo, 2019-08-28)Dependent Object Types, or DOT, is a family of calculi developed to study the Scala programming language. These calculi have path dependent types as a feature, and potentially intersection types, union types and recursive ... -
Decidability and k-Regular Sequences
(Elsevier, 2020-05)In this paper we consider a number of natural decision problems involving k-regular sequences. Specifically, they arise from considering • lower and upper bounds on growth rate; in particular boundedness, • images, • ... -
Deciding Properties of Automatic Sequences
(University of Waterloo, 2013-09-24)In this thesis, we show that several natural questions about automatic sequences can be expressed as logical predicates and then decided mechanically. We extend known results in this area to broader classes of sequences ... -
Deciding Second-order Logics using Database Evaluation Techniques
(University of Waterloo, 2008-09-25)We outline a novel technique that maps the satisfiability problems of second-order logics, in particular WSnS (weak monadic second-order logic with n successors), S1S (monadic second-order logic with one successor), and ... -
Decision Algorithms for Ostrowski-Automatic Sequences
(University of Waterloo, 2020-05-13)We extend the notion of automatic sequences to a broader class, the Ostrowski-automatic sequences. We develop a procedure for computationally deciding certain combinatorial and enumeration questions about such sequences ... -
Decomposition of Finite-Dimensional Matrix Algebras over \mathbb{F}_{q}(y)
(University of Waterloo, 2010-08-20)Computing the structure of a finite-dimensional algebra is a classical mathematical problem in symbolic computation with many applications such as polynomial factorization, computational group theory and differential ... -
Decomposition-based methods for Connectivity Augmentation Problems
(University of Waterloo, 2021-09-03)In this thesis, we study approximation algorithms for Connectivity Augmentation and related problems. In the Connectivity Augmentation problem, one is given a base graph G=(V,E) that is k-edge-connected, and an additional ... -
Decoupling of Information Propagation from Energy Propagation
(University of Waterloo, 2016-08-31)Information and energy are concepts central to our understanding of nature. Their relevance, in physics, ranges from fundamental physics, e.g., in black hole physics, all the way to future quantum computing technology. ... -
Deep Context Resolution
(University of Waterloo, 2018-05-17)Conversations depend on information from the context. To go beyond one-round conversation, a chatbot must resolve contextual information such as: 1) co-reference resolution, 2) ellipsis resolution, and 3) conjunctive ... -
Deep Learning for Peptide Feature Detection from Liquid Chromatography - Mass Spectrometry Data
(University of Waterloo, 2022-04-26)Proteins are the main workhorses of biological functions and activities, such as catalyzing metabolic reactions, DNA replication, providing structure to cells and organisms, etc. Comparative analysis of protein samples ... -
Deep Learning Methods for Novel Peptide Discovery and Function Prediction
(University of Waterloo, 2024-04-26)This thesis explores deep learning methods for protein identification and property prediction, encompassing two primary areas: mass spectrometry-based protein sequence identification and protein property prediction. We ...