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.
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Showing 1 to 20 of 110 for “"nonlinear optimization"”.
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Sparse nonlinear optimization for signal processing and communications
… proposes three classes of new sparse nonlinear optimization algorithms for network echo cancellation (NEC), 3-D synthetic aperture radar (SAR) image reconstruction, and adaptive turbo equalization in multiple-input multiple-output (MIMO) underwater acoustic (UWA) communications, …
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Global Search Methods for Solving Nonlinear Optimization Problems
… experimental results in applying Novel to solve nonlinear optimisation problems, including (a) the learning of feedforward neural networks, (b) the design of quadrature-mirror-filter digital filter banks, (c) the satisfiability problem, (d) the maximum satisfiability problem, and (e) the design …
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Theory and Algorithms for Nonlinear Optimization and Variational Inequalities
We consider three separate topics in nonlinear optimization, one theoretical topic and two algorithmic topics. Each of these topics deals with a broad class of nonlinear optimization problems. We first introduce and analyze a generalized parametric variational inequality problem $PVI(E, T, C, …
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A Composite Algorithm for Mixed Integer Constrained Nonlinear Optimization
A composite optimization algorithm applicable to mixed integer, constrained, nonlinear problems is developed in this research. One major component of the composite algorithm is a modified version of the nonlinear simplex method. Significant modifications are made to this algorithm including the …
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Safe and Efficient Motion Planning through Chance-Constrained Nonlinear Optimization
… we develop a chance-constrained trajectory optimization framework to address this gap in the state of the art, which we call Sequential Convex Optimization with Risk Allocation (SCORA). This planner is capable of solving challenging, high-dimensional motion planning problems while managing …
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Smoothness and Adaptivity in Nonlinear Optimization for Machine Learning Applications
Nonlinear optimization has become the workhorse of machine learning. However, our theoretical understanding of optimization in machine learning is still limited. For example, classical optimization theory relies on assumptions like bounded Lipschitz smoothness of the loss function which are rarely …
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Minimization of stresses and pressure surges in pipes using nonlinear optimization.
… are evaluated for the entire simulation time. A nonlinear search technique has been developed using the simplex method. The optimal valve closure is sought, that will minimize the maximum pressure and/or stresses. A continuous optimal valve closure policy is specified using spline functions. …
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A* Node Search and Nonlinear Optimization for Satellite Relative Motion Path Planning
… solution results against a state-of-the-art nonlinear optimization method. Trajectories are investigated that include nonlinear constraints, such as complex keep-out-regions and thruster plume impingement, that may be required for inspection of a specific target area in a complex environment. …
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An Examination of the Strengths and Weaknesses of Newton's Method for Nonlinear Optimization
… introduces two of its major branches, linear and nonlinear optimization. While other methods are mentioned, the focus is on analytical methods used to solve nonlinear optimization problems. We briefly look at some of the most effective constrained methods for nonlinear optimization and then show …
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A Comparative Assessment of Methodologies for Solving Problems of Nonlinear Optimization in the Business Sector
… are seeking a solution to the problem of nonlinear optimization to maximize product value for the most respondents to a product survey. A comparative approach considers five methods of obtaining maximal solutions in minimal time. Simulated annealing and exhaustive enumeration seek to …
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Nonlinear optimization approach for UPFC power flow control and voltage security: Sufficient system constraints for optimality
"This dissertation provides a nonlinear optimization algorithm for the long term control of Unified Power Flow Controller (UPFC) to remove overloads and voltage violations by optimized control of power flows and voltages in the power network. It provides a control strategy for finding the long term …
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Estimation of kinematic rupture parameters from historical seismograms: an application of simulated annealing to a nonlinear optimization problem
Includes bibliographical references (pages 88-94).
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Static and dynamic inventory models under inflation, time value of money and permissible delay in payment
… were considered in developing the models. Nonlinear optimization techniques were used to obtain the optimal policies for the systems.;First, a static single-item inventory model was considered in which shortages are allowed and a delay is permitted in payment. In this case, suppliers allow …
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A reliability-based method for optimization programming problems
… The method is applicable to both linear and nonlinear optimization. Based on a proper linearization, a set of probabilistic constraints (performance functions) can be transformed into a corresponding set of deterministic constraints. this is accomplish by expanding all the constraints about …
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Improved Constrained Global Optimization for Estimating Molecular Structure From Atomic Distances
… of molecular structure is commonly posed as a nonlinear optimization problem. The objective functions rely on a vast amount of structural data. As a result, the objective functions are most often nonconvex, nonsmooth, and possess many local minima. Furthermore, introduction of additional …
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PARALLEL ALGORITHMS FOR NONLINEAR PROGRAMMING AND APPLICATIONS IN PHARMACEUTICAL MANUFACTURING
… pharmaceuticals presents a number of challenging optimization problems due to complex distributed, time-independent models and the need to handle uncertainty. These challenges are multiplied when real-time solutions are required. The demand for fast solution of nonlinear optimization problems, …
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Covering problem with minimum radius enclosing circle
… to customer demand. We develop a nonconvex-nonlinear optimization model and propose a quadratic programming-based approximation algorithm to solve it. Tested on various hypothetical and real scenarios, our model effectively reduces the facility setup cost and identifies the optimal …
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Real-time trajectory optimization and air traffic control simulation for noise abatement approach procedures
… thesis presents an adaptive onboard real-time optimization algorithm and an Air Traffic Control simulation model that can minimize the aircraft approach noise and meet air traffic control targets and restrictions. The adaptive real-time optimization algorithm uses dynamic programming, nonlinear …
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