Global ETD Search

191	An inquiry into the optimal loads on servers in a queueing network Biermann, Jeanette Aileen Stifel January 1991 (has links) No description available.
192	Complete synthesis of optimal control (single input linear systems) Wang, Kon-King January 1993 (has links) No description available. Engineering, System Science optimal control linear system
193	COOPERATIVE UNMANNED AERIAL VEHICLE (UAV) SEARCH IN DYNAMIC ENVIRONMENTS USING STOCHASTIC METHODS FLINT, MATTHEW D. 23 May 2005 (has links) No description available. Cooperative Control Stochastic Methods Optimal Decision and Control
194	First-Order Necessary Optimality Conditions for Nonlinear Optimal Control Problems Voisei, Mircea D. 29 July 2004 (has links) No description available. Optimization Optimal Control Generalized Gradient Elliptic Equations
195	Algorithms for optimal feedback control problems Huang, Hongqing January 1994 (has links) No description available. Engineering, Mechanical algorithms optimal feedback control problems
196	Optimal control of vibration of beams and plates Gatewitaya, Wonchai January 1995 (has links) No description available. Engineering, Mechanical Optimal Control Vibration Beams Plates
197	Optimal Integrated broaching manufacture process Huang, Yean-Jenq January 1989 (has links) No description available. Engineering, Industrial Optimal Integrated Broaching Manufacture Process
198	Optimal reservoir operation for drought management Kleopa, Xenia A. January 1990 (has links) No description available. Engineering, Civil Optimal reservoir operation Drought management
199	Optimal sliding mode control and stabilization of underactuated systems Xu, Rong 06 August 2007 (has links) No description available. sliding mode control underactuated systems optimal control
200	Optimal Subsampling of Finite Mixture Distribution Neupane, Binod Prasad 05 1900 (has links) <p> A mixture distribution is a compounding of statistical distributions, which arises when sampling from heterogeneous populations with a different probability density function in each component. A finite mixture has a finite number of components. In the past decade the extent and the potential of the applications of finite mixture models have widened considerably.</p> <p> The objective of this project is to add some functionalities to a package 'mixdist' developed by Du and Macdonald (Du 2002) and Gao (2004) in the R environment (R Development Core Team 2004) for estimating the parameters of a finite mixture distribution with data grouped in bins and conditional data. Mixed data together with conditional data will provide better estimates of parameters than do mixed data alone. Our main objective is to obtain the optimal sample size for each bin of the mixed data to obtain conditional data, given approximate values of parameters and the distributional form of the mixture for the given data. We have also replaced the dependence of the function mix upon the optimizer nlm to optimizer optim to provide the limits to the parameters.</p> <p> Our purpose is to provide easily available tools to modeling fish growth using mixture distribution. However, it has a number of applications in other areas as well.</p> / Thesis / Master of Science (MSc)

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