Topology optimization of broadband acoustic transition section: a comparison between deterministic and stochastic approaches von Mousavi, Abbas, Uihlein, Andrian, Pflug, Lukas, Wadbro, Eddie

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The continuous stochastic gradient method: part II–application and numerics von Grieshammer, Max, Pflug, Lukas, Stingl, Michael, Uihlein, Andrian

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The continuous stochastic gradient method: part I–convergence theory von Grieshammer, Max, Pflug, Lukas, Stingl, Michael, Uihlein, Andrian

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Correction to: The continuous stochastic gradient method: part II–application and numerics von Grieshammer, Max, Pflug, Lukas, Stingl, Michael, Uihlein, Andrian

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Optimizing Color of Particulate Products von Uihlein, Andrian, Pflug, Lukas, Stingl, Michael

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Stabilized SQP Methods in Hilbert Spaces von Uihlein, Andrian, Wollner, Winnifried

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A stochastic method of moving asymptotes for topology optimization under uncertainty von Pflug, Lukas, Stingl, Michael, Uihlein, Andrian

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Stabilized SQP Methods in Hilbert Spaces von Uihlein, Andrian, Wollner, Winnifried

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Topology Optimization of Broadband Acoustic Transition Section: A Comparison between Deterministic and Stochastic Approaches von Mousavi, Abbas, Uihlein, Andrian, Pflug, Lukas, Wadbro, Eddie

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The Continuous Stochastic Gradient Method: Part II -- Application and Numerics von Grieshammer, Max, Pflug, Lukas, Stingl, Michael, Uihlein, Andrian

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A stochastic method of moving asymptotes for topology optimization under uncertainty von Pflug, Lukas, Stingl, Michael, Uihlein, Andrian

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The Continuous Stochastic Gradient Method: Part I -- Convergence Theory von Grieshammer, Max, Pflug, Lukas, Stingl, Michael, Uihlein, Andrian

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CSG: A stochastic gradient method for a wide class of optimization problems appearing in a machine learning or data-driven context von Pflug, Lukas, Grieshammer, Max, Uihlein, Andrian, Stingl, Michael

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The Continuous Stochastic Gradient Method von Uihlein, Andrian, Pflug, Lukas, Stingl, Michael

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The Continuous Stochastic Gradient Method: Part I -- Convergence Theory von Grieshammer, Max, Pflug, Lukas, Stingl, Michael, Uihlein, Andrian

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The Continuous Stochastic Gradient Method: Part II -- Application and Numerics von Grieshammer, Max, Pflug, Lukas, Stingl, Michael, Uihlein, Andrian

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Dataset of the manuscript: Predictive design of plasmonic color von Bleyer, Gudrun, Uihlein, Andrian, Sultan, Umair, Maret, Ickler, Pflug, Lukas, Yamashita, Ruri, Watanabe, Satoshi, Vogel, Nicolas

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CSG: A stochastic gradient method for a wide class of optimization problems appearing in a machine learning or data-driven context von Pflug, Lukas, Grieshammer, Max, Uihlein, Andrian, Stingl, Michael

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