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.
Results
Showing 1 to 20 of 722 for “"Maximization"”.
-
On two utility maximization problems
This dissertation studies two expected utility maximization problems from mathematical finance. The first project (Chapter 2) deals with a single-agent utility maximization under constraints on intertemporal consumption; the second project (Chapter 3) studies Nash equilibria in an N-player game of …
-
Planar detection using modified expectation maximization
… motivates the employment of the Expectation Maximization (EM) algorithm. Derivation of the EM algorithm equations proves that a closed form solution to the maximization step is impractical which leads to the proposal of a Modified Expectation Maximization (MEM) algorithm. The MEM algorithm …
-
Alignment by maximization of mutual information
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
-
Bayesian Expectation-Maximization-Maximization: a latent-mixture-modeling-based Bayesian algorithm for the three-parameter logistic model
The current study proposes a Bayesian Expectation-Maximization-Maximization (Bayesian EMM, or BEMM), which is an alternative feasible Bayesian algorithm for the three-parameter logistic model (3PLM). The Bayesian EMM takes full advantage of both the EMM and the Bayesian approach. The BEMM not only …
-
Energy-efficient relay cooperation for lifetime maximization
… power allocation among relays for lifetime maximization in a dual-hop relay network operated by amplify-and-forward relays with battery limitations. Power allocation algorithms are proposed for three different scenarios. First, we study the relay cooperation case where all the relays jointly …
-
Sum-rate maximization for two-way active channels.
… channel is reciprocal, we consider the sum-rate maximization problem under the assumption that the powers of transceivers as well as the channel power are limited. The goal is to jointly optimize the power of each subchannel as well as the allocated power by each transceiver to each subchannel. …
-
Quadratic maximization under combinatorial constraints and related applications
… Component Analysis (PCA), we study quadratic maximization problems subject to sparsity, nonnegativity and other combinatorial constraints. Intuitively, a key technical challenge is determining the support of the optimal solution. We develop a method that can surprisingly solve the maximization …
-
Choice Overload and Maximization: Implications for Disordered Gambling
… slot machines, a possible behavioral marker of maximization. The results demonstrated that maximizers switched among available slot machines significantly more frequently than satisficers. Experiment II investigated further links between gambling behavior and maximization. A significant …
-
Profit maximization of a kanban-based supply chain
In this paper, we propose a stochastic method to model a multi-stage Kanban-based supply chain, constructed strictly under the JIT philosophy.This model decides the optimum number of Kanban with a trade-off between inventory cost and customer service level.After developing this model, we implement …
-
Scheduling algorithms for throughput maximization in data networks
This thesis considers the performance implications of throughput optimal scheduling in physically and computationally constrained data networks. We study optical networks, packet switches, and wireless networks, each of which has an assortment of features and constraints that challenge the design …
-
Learning-NUM: Utility Maximization in Stochastic Queueing Networks
Network Utility Maximization (NUM) studies the problems of allocating traffic rates to network users in order to maximize the users’ total utility subject to network resource constraints. We propose a new paradigm of utility maximization in stochastic queueing networks where the utility functions …
-
From expectation-3-maximization to bayesian expectation-3-maximization: A latent mixture modeling-based bayesian algorithm for the 4-parameter logistic model
… modeling view and developed the Expectation-Maximization-Maximization-Maximization (EMMM) method. Combining the EMMM with the Bayesian approach, allowed the Bayesian Expectation-Maximization-Maximization-Maximization (BEMMM) algorithm to be proposed. First, the author compared the EMMM with …
-
Advancing Community Detection through Ensemble Learning and Modularity Maximization
Arguably, the most fundamental problem in Network Science is finding structure within a complex network. Often, this is done by partitioning the network's nodes into communities in a way that maximizes an objective function. However, finding the maximizing partition is generally a computationally …
-
Testing the Behavior Implications of Profit Maximization in Manufacturingfirms
Made available in DSpace on 2014-12-09T19:32:16Z (GMT). No. of bitstreams: 1 7000796.pdf: 3145277 bytes, checksum: 7a9142e2a180747acffffce16122b43e (MD5) Previous issue date: 1969
-
Real-time trajectory optimization for excavators by power maximization
… validated the method. It was shown that power maximization as a strategy of trajectory adaptation for excavation was both well-grounded and feasible.
-
Mechanism design : from optimal transport theory to revenue maximization
… In the first part of the work, we study revenue maximization in single-bidder multi-item settings, connecting this problem to a well-studied problem in measure theory, namely the design of optimal transport maps. By establishing strong duality between these two problems, we obtain a …
-
Using information maximization for alignment of objects with albedos
Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.
-
Influence maximization over a network : static and dynamic policies
The problem of maximizing the spread of an opinion inside a social network has been investigated extensively during the past decade. The importance of this problem in applications such as marketing has been amplified by the major expansion of online social networks. In this thesis, we study opinion …
-
Efficient buffer design algorithms for production line profit maximization
… makes contributions to production system profit maximization. The profit of a production line is the revenue associated with the production rate minus the buffer space cost and average inventory holding cost. We assume that machines have already been chosen and therefore our only decision …
Page 1 of 37