Results 11 to 20 of about 2,567,431 (306)
In the existing literature, there are only two in-plane equilibrium equations for membrane problems; one does not take into account the contribution of deflection to in-plane equilibrium at all, and the other only partly takes it into account.
Jun-Yi Sun, Ji Wu, Xue Li, Xiao-Ting He
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Taylor’s Expansion for Composite Functions [PDF]
We build a Taylor’s expansion for composite functions. Some applications are introduced, where the proposed technique allows the authors to obtain an asymptotic expansion of high order in many small parameters of solutions.
Le Thi Phuong Ngoc, Nguyen Anh Triet
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Gluing resource proof-structures: inhabitation and inverting the Taylor expansion [PDF]
A Multiplicative-Exponential Linear Logic (MELL) proof-structure can be expanded into a set of resource proof-structures: its Taylor expansion. We introduce a new criterion characterizing (and deciding in the finite case) those sets of resource proof ...
Giulio Guerrieri +2 more
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Taylor Expansion Policy Optimization
In this work, we investigate the application of Taylor expansions in reinforcement learning. In particular, we propose Taylor expansion policy optimization, a policy optimization formalism that generalizes prior work (e.g., TRPO) as a first-order special case. We also show that Taylor expansions intimately relate to off-policy evaluation.
Tang, Y. (Yunhao) +2 more
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Taylor expansion in linear logic is invertible [PDF]
Each Multiplicative Exponential Linear Logic (MELL) proof-net can be expanded into a differential net, which is its Taylor expansion. We prove that two different MELL proof-nets have two different Taylor expansions.
Daniel de Carvalho
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Modification of Fourth order Runge-Kutta Method for Kutta Form With Geometric Means
This paper discuss how to modified Fourth order Runge-Kutta Kutta method based on the geometric mean. Then we have parameters and however by re-comparing the Taylor series expansion of and up to the 4th order. For make error term re-compering
Irma Suryani +3 more
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Pipelined Stochastic Gradient Descent with Taylor Expansion
Stochastic gradient descent (SGD) is an optimization method typically used in deep learning to train deep neural network (DNN) models. In recent studies for DNN training, pipeline parallelism, a type of model parallelism, is proposed to accelerate SGD ...
Bongwon Jang, Inchul Yoo, Dongsuk Yook
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Taylor expansion for matrix functions of vector variable using the Kronecker product
Taylor expansion is one of the many mathematical tools that is applied in Mechanics and Engineering. In this paper, using the partial derivative of a matrix with respect to a vector and the Kronecker product, the formulae of Taylor series of vector ...
Nguyen Van Khang +2 more
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Newton series expansion of bosonic operator functions
We show how series expansions of functions of bosonic number operators are naturally derived from finite-difference calculus. The scheme employs Newton series rather than Taylor series known from differential calculus, and also works in cases where the ...
Jürgen König, Alfred Hucht
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Taylor: A Magazine for Taylor University Alumni, Parents, and Friends [PDF]
The Winter 2023 edition of Taylor Magazine, published by Taylor University in Upland, Indiana.https://pillars.taylor.edu/tu_magazines/1199/thumbnail ...
Taylor University
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