Results 131 to 140 of about 3,872,829 (369)
Note on certain inverse problems in the simplex theory of numbers [PDF]
R. D. Carmichael
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Inversion of the Bladder [PDF]
n ...
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Designers of AI agents often iterate on the reward function in a trial-and-error process until they get the desired behavior, but this only guarantees good behavior in the training environment.
Gleave, Adam+3 more
core
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez+2 more
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XXIII. Theorems on the attraction of ellipsoids for certain laws of force other than the inverse square [PDF]
Edward John Routh
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The cost as a function of the number of experiments for a non‐symmetric 21×21$$ 21\times 21 $$ system. Four approaches are shown: the proposed stochastic conjugate gradient ILC (SCGILC) method (), deterministic conjugate gradient ILC (), stochastic gradient descent ILC () and deterministic gradient descent ILC ().
Leontine Aarnoudse, Tom Oomen
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Some properties of the generalized max Frank matrices
In this paper, we introduce a new generalization of the Frank matrix, which is a lower Hessenberg matrix called the generalized max -Frank matrix. We obtain a recurrence relation provided by the characteristic polynomial, inverse, determinant, and norm
Hasan Gökbaş
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On the existence of the inverse operation in alternation groupoids [PDF]
Marlow Sholander
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Convexity of the inverse and Moore–Penrose inverse
AbstractConvexity properties of the inverse of positive definite matrices and the Moore–Penrose inverse of nonnegative definite matrices with respect to the partial ordering induced by nonnegative definiteness are studied. For the positive definite case null-space characterizations are derived, and lead naturally to a concept of strong convexity of a ...
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