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1. Variable Gain Design in Stochastic Iterative Learning Control
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2026, Springer Verlag, Singapore
ISBN-13: 9789819782833
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2. Variable Gain Design in Stochastic Iterative Learning Control
by Shen, Dong
Seller Description: New. Contains: Illustrations, black & white, Illustrations, color. Intelligent Control and Learning Systems . XI, 350 p. 101 illus., 100 illus. in color. Intended for professional and scholarly audience. See More Details
2026, Springer Verlag, Singapore
ISBN-13: 9789819782833
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3. Convexity in Newton's Method
by José Antonio Ezquerro Fernández; Miguel Ángel Hernández Verón
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2025, Springer Nature
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4. Computational Methods for Transition States and Pathways in Rare Events
by Shuting Gu
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2025, Taylor & Francis
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5. Variable Gain Design in Stochastic Iterative Learning Control
by Dong Shen
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2025, Springer Nature
eBook ISBN: 9789819782802
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6. Optimal Iterative Learning Control
by Bing Chu; David H. Owens
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2025, Springer Nature
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7. Convexity in Newton's Method
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2025, Birkhauser Verlag AG
ISBN-13: 9783031857539
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8. New Developments of Newton-Type Iterations for Solving Nonlinear Problems
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2025, Springer International Publishing AG
ISBN-13: 9783031633638
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9. 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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Columbia, MD, USA
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10. Computational Methods for Transition States and Pathways in Rare Events
by Gu, Shuting
Seller Description: New. Print on demand Sewn binding. Cloth over boards. 130 p. Contains: Unspecified, Illustrations, black & white, Line drawings, black & white, Tables, black & white. See More Details
2025, CRC Press
ISBN-13: 9781032996479
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