Results 31 to 40 of about 87,618 (263)
Robotics, 2022 In the fields of control engineering and robotics, either the Lagrange or Newton–Euler method is generally used to analyze and design systems using equations of motion.
Takashi Kusaka, Takayuki Tanaka
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Aerospace, 2023 This paper proposes an approach that combines manual differentiation (MD) and automatic differentiation (AD) to develop an efficient and accurate multi-row discrete adjoint solver.
Hangkong Wu +3 more
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Adjoints by automatic differentiation [PDF]
, 2014 AbstractThis chapter describes how adjoint algorithms can be created by automatic differentiation (AD). Data assimilation makes intensive use of gradients. In many situations, the so-called adjoint approach is generally the most efficient way to compute gradients, by propagating derivatives backwards from the result of the given model or function ...
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Journal of Marine Science and EngineeringThis paper is dedicated to the acoustic inversion of the vertical sound speed profiles (SSPs) in the underwater marine environment. The method of automatic differentiation is applied for the first time in this context.
Mikhail Lytaev
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CFD Analysis for Industrial Applications using xGrid Environment [PDF]
INCAS Bulletin, 2011 Relevant CFD computations are performed in a GRID environment in order to evaluate this technology as a reliable infrastructure for HPSC for complex industrial applications.
Catalin NAE
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Automatic Differentiation for MATLAB Programs [PDF]
PAMM, 2003 AbstractDerivative information is required in numerous applications, including sensitivity analysis and numerical optimization. For simple functions, symbolic differentiation–done either manually or with a computer algebra system–can provide the derivatives, whereas divided differences (DD) have been used traditionally for functions defined by ...
Bischof, Christian +2 more
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A review of differentiable digital signal processing for music and speech synthesis
Frontiers in Signal ProcessingThe term “differentiable digital signal processing” describes a family of techniques in which loss function gradients are backpropagated through digital signal processors, facilitating their integration into neural networks.
Ben Hayes +4 more
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FEBS Letters, EarlyView.Septin 9 polybasic domains couple phosphoinositide‐rich membrane binding to centrosome positioning, Golgi organization, and microtubule acetylation to control epithelial polarity. Their loss disrupts this axis, causing centrosome mispositioning, Golgi fragmentation, reduced microtubule acetylation, and polarity inversion via upregulation of the ...
Ting ting Cai +4 more
wiley +1 more source
Automatic Multivector Differentiation and Optimization [PDF]
Advances in Applied Clifford Algebras, 2016 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lars Tingelstad, Olav Egeland
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COMP–PMEPA1 axis promotes epithelial‐to‐mesenchymal transition in breast cancer cells
Molecular Oncology, EarlyView.This study reveals that cartilage oligomeric matrix protein (COMP) promotes epithelial‐to‐mesenchymal transition (EMT) in breast cancer. We identify PMEPA1 (protein TMEPAI) as a novel COMP‐binding partner that mediates EMT via binding to the TSP domains of COMP, establishing the COMP–PMEPA1 axis as a key EMT driver in breast cancer.
Konstantinos S. Papadakos +6 more
wiley +1 more source