Essays about: "primal dual method"
Showing result 1 - 5 of 8 essays containing the words primal dual method.
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1. Comparison of two mixed integer solvers with real world data from combinatorial auctions
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Coupa is a software company specialising in Business Spending Management, BSM. In the Uppsala office they utilise MIP solvers to help their clients lower sourcing outlays by translating sourcing auc- tions into MIP problems [1] [2]. READ MORE
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2. Asymmetric Bregman Forward-Backward Splitting with Projection Correction
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : This thesis examines first-order Bregman algorithms in a primal and a primal-dual setting. The Bregman gradient descent algorithm is introduced from a majorization-minimization perspective and as a generalization of the gradient descent algorithm. READ MORE
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3. Data-Driven Methods for Sonar Imaging
University essay from Linköpings universitet/DatorseendeAbstract : Reconstruction of sonar images is an inverse problem, which is normally solved with model-based methods. These methods may introduce undesired artifacts called angular and range leakage into the reconstruction. READ MORE
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4. Model selection and optimization experiment of a field trial with agricultural data using Python
University essay from Lunds universitet/Matematik LTHAbstract : Potato cultivation is vast for many agricultures in southern Sweden. What many might not be aware of, is how much pesticides which are used in the cultivation process. In "Late blight prediction and analysis"[1] predictions of late-blight attacks was modelled on potato-corps using Elastic Net among other methods. READ MORE
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5. Preconditioned iterative methods for PDE-constrained optimization problems with pointwise state constraints
University essay from Uppsala universitet/Avdelningen för beräkningsvetenskapAbstract : Optimization problems constrained by partial differential equations (PDEs) arise in a variety of fields when one wants to optimize a system governed by a PDE. The goal is to compute a control variable such that a state variable is as close as possible to some desired state when control and state are coupled by some PDE. READ MORE