Search for dissertations about: "large-scale optimization"
Showing result 1 - 5 of 182 swedish dissertations containing the words large-scale optimization.
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1. Asynchronous Algorithms for Large-Scale Optimization : Analysis and Implementation
Abstract : This thesis proposes and analyzes several first-order methods for convex optimization, designed for parallel implementation in shared and distributed memory architectures. The theoretical focus is on designing algorithms that can run asynchronously, allowing computing nodes to execute their tasks with stale information without jeopardizing convergence to the optimal solution. READ MORE
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2. Asynchronous First-Order Algorithms for Large-Scale Optimization : Analysis and Implementation
Abstract : Developments in communication and data storage technologies have made large-scale data collection more accessible than ever. The transformation of this data into insight or decisions typically involves solving numerical optimization problems. READ MORE
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3. Accelerating Convergence of Large-scale Optimization Algorithms
Abstract : Several recent engineering applications in multi-agent systems, communication networks, and machine learning deal with decision problems that can be formulated as optimization problems. For many of these problems, new constraints limit the usefulness of traditional optimization algorithms. READ MORE
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4. Compositional optimization of large-scale discrete event systems
Abstract : Optimization of industrial processes such as manufacturing cells can have great impact on their performance. Finding optimal solutions to these large-scale systems is, however, a complex problem. They typically include multiple subsystems, and the search space generally grows exponentially with each subsystem. READ MORE
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5. Distributed Stochastic Programming with Applications to Large-Scale Hydropower Operations
Abstract : Stochastic programming is a subfield of mathematical programming concerned with optimization problems subjected to uncertainty. Many engineering problems with random elements can be accurately modeled as a stochastic program. In particular, decision problems associated with hydropower operations motivate the application of stochastic programming. READ MORE