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26. Conditional Gradient Methods
by Gábor Braun
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2025, John Wiley & Sons
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27. Iterative Learning Control over Random Fading Channels
by Shen, Dong, and Yu, Xinghuo
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2025, CRC Press
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28. Iterative Learning Control over Random Fading Channels
by Shen, Dong, and Yu, Xinghuo
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29. Computational Methods for Transition States and Pathways in Rare Events
by Gu, Shuting
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2025, CRC Press
ISBN-13: 9781032996479
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30. Computational Methods for Transition States and Pathways in Rare Events
by Gu, Shuting
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2025, CRC Press
ISBN-13: 9781032996479
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31. Variable Gain Design in Stochastic Iterative Learning Control
by Dong Shen
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2025, Springer Nature
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32. Optimal Iterative Learning Control
by Bing Chu; David H. Owens
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2025, Springer Nature
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33. Computational Methods for Transition States and Pathways in Rare Events
by Gu, Shuting
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2025, CRC Press
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34. Conditional Gradient Methods: From Core Principles to AI Applications
by Braun, Gábor, and Carderera, Alejandro, and Combettes, Cyrille W.
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2025, Society for Industrial & Applied Mathematics,U.S.
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35. Conditional Gradient Methods: From Core Principles to AI Applications
by Braun, Gábor, and Carderera, Alejandro, and Combettes, Cyrille W.
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2025, Society for Industrial & Applied Mathematics,U.S.
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36. Conditional Gradient Methods: From Core Principles to AI Applications
by Braun, Gábor, and Carderera, Alejandro, and Combettes, Cyrille W.
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37. Conditional Gradient Methods: From Core Principles to AI Applications
by Braun, Gábor, and Carderera, Alejandro, and Combettes, Cyrille W.
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2025, Society for Industrial & Applied Mathematics,U.S.
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38. Conditional Gradient Methods: From Core Principles to Ai Applications
by Gábor Braun
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2025, Society for Industrial & Applied Mathematics,U.S.
ISBN-13: 9781611978551
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39. Computational Methods for Transition States and Pathways in Rare Events
by Gu, Shuting
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2025, CRC Press
ISBN-13: 9781032996479
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40. Convexity in Newton's Method (Frontiers in Mathematics)
by Ezquerro Fernández, José Antonio
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2025, Birkhäuser
ISBN-13: 9783031857539
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41. Variable Gain Design in Stochastic Iterative Learn
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2025, Springer Verlag, Singapore
ISBN-13: 9789819782802
Irving, TX, USA
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