Search for dissertations about: "optimal criteria"
Showing result 1 - 5 of 169 swedish dissertations containing the words optimal criteria.
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1. Optimal Control of Partial Differential Equations in Optimal Design
Abstract : This thesis concerns the approximation of optimally controlled partial differential equations for inverse problems in optimal design. Important examples of such problems are optimal material design and parameter reconstruction. In optimal material design the goal is to construct a material that meets some optimality criterion, e.g. READ MORE
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2. Optimal Subsampling Designs Under Measurement Constraints
Abstract : We consider the problem of optimal subsample selection in an experiment setting where observing, or utilising, the full dataset for statistical analysis is practically unfeasible. This may be due to, e.g., computational, economic, or even ethical cost-constraints. READ MORE
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3. Functional and Modular As=C and P=C Group Motifs
Abstract : This work focuses on the design, synthesis, characterization, and application projections of low-coordinated heavy pnictogen-containing (described by the generic letter E, hence E=C) phosphaalkenes (P=C) and arsaalkenes (As=C), with emphasis on the E=C group motifs. The work aims to understand their functional and modular character, reactivity, and potential applications by stabilizing, isolating, and characterizing these species in low-coordination environments. READ MORE
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4. Multidimensional inverse problems in imaging and identification using low-complexity models, optimal mass transport, and machine learning
Abstract : This thesis, which mainly consists of six appended papers, primarily considers a number of inverse problems in imaging and system identification.In particular, the first two papers generalize results for the rational covariance extension problem from one to higher dimensions. READ MORE
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5. Novel Algorithms for Optimal Transport via Splitting Methods
Abstract : This thesis studies how the Douglas–Rachford splitting technique can be leveraged for scalable computational optimal transport (OT). By carefully splitting the problem, we derive an algorithm with several advantages. READ MORE