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51. Optimal Iterative Learning Control
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52. Conditional Gradient Methods: From Core Principles to Ai Applications
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53. Computational Methods for Transition States and Pathways in Rare Events
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54. Variable Gain Design in Stochastic Iterative Learn
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55. Convexity in Newton's Method (Frontiers in Mathematics)
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59. Variable Gain Design in Stochastic Iterative Learning Control
by Dong Shen
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60. Variable Gain Design in Stochastic Iterative Learning Control
by Shen, Dong
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61. Variable Gain Design in Stochastic Iterative Learning Control
by Shen, Dong
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62. Variable Gain Design in Stochastic Iterative Learning Control
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63. New Developments of Newton-Type Iterations for Solving Nonlinear Problems (Mathematical Engineering)
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64. Variable Gain Design in Stochastic Iterative Learning Control
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65. Variable Gain Design in Stochastic Iterative Learning Control
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66. New Developments of Newton-Type Iterations for Solving Nonlinear Problems
by Tugal Zhanlav; Ochbadrakh Chuluunbaatar
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67. The Theory and Applications of Iteration Methods
by Ioannis K. Argyros
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