Results 21 to 30 of about 12,319,152 (351)

Differentiable comparative statics with payoff functions not differentiable everywhere [PDF]

open access: yes, 2001
In this note we consider Cournot oligopoly. Due to the consideration of several consumers and/ or technologies, the profit function is not differentiable everywhere.
Corchón, Luis C.
core   +2 more sources

Differentiable surface splatting for point-based geometry processing [PDF]

open access: yesACM Transactions on Graphics, 2019
We propose Differentiable Surface Splatting (DSS), a high-fidelity differentiable renderer for point clouds. Gradients for point locations and normals are carefully designed to handle discontinuities of the rendering function.
Yifan Wang   +4 more
semanticscholar   +1 more source

Chaotic intermittency with non-differentiable M(x) function

open access: yesRevista Facultad de Ingeniería Universidad de Antioquia, 2023
One-dimensional maps showing chaotic intermittency with discontinuous reinjection probability density functions are studied. For these maps, the reinjection mechanism possesses two different processes.
Sergio Elaskar   +2 more
doaj   +1 more source

Implementation Aspects in Regularized Structural Equation Models

open access: yesAlgorithms, 2023
This article reviews several implementation aspects in estimating regularized single-group and multiple-group structural equation models (SEM). It is demonstrated that approximate estimation approaches that rely on a differentiable approximation of non ...
Alexander Robitzsch
doaj   +1 more source

Differentiable vector graphics rasterization for editing and learning

open access: yesACM Transactions on Graphics, 2020
We introduce a differentiable rasterizer that bridges the vector graphics and raster image domains, enabling powerful raster-based loss functions, optimization procedures, and machine learning techniques to edit and generate vector content.
Tzu-Mao Li   +3 more
semanticscholar   +1 more source

The differentiation of a function of a function [PDF]

open access: yesBulletin of the American Mathematical Society, 1923
If z is a function of y having a differential coefficient at a certain point, and y is a function of x having a differential coefficient at the corresponding point, then z is a function of x having a differential coefficient at that point, and this differential coefficient is given by the formulaThis theorem, thought not always stated so carefully ...
openaire   +3 more sources

Differentiation and function of osteoclasts

open access: yesThe Keio Journal of Medicine, 2003
Osteoclasts, which are responsible for bone resorption, are rare cells with only 2-3 cells seen per 1 mm3 of bone. However, the loss of function in osteoclasts, problems with their differentiation and decrease in their number lead to bone osteosclerosis/osteopetrosis. On the other hand, an increase in their number or function induces bone osteoporosis,
Takeshi, Miyamoto, Toshio, Suda
openaire   +3 more sources

Differentiable Earth mover’s distance for data compression at the high-luminosity LHC

open access: yesMachine Learning: Science and Technology, 2023
The Earth mover’s distance (EMD) is a useful metric for image recognition and classification, but its usual implementations are not differentiable or too slow to be used as a loss function for training other algorithms via gradient descent. In this paper,
Rohan Shenoy   +7 more
doaj   +1 more source

clDice - a Novel Topology-Preserving Loss Function for Tubular Structure Segmentation [PDF]

open access: yesComputer Vision and Pattern Recognition, 2020
Accurate segmentation of tubular, network-like structures, such as vessels, neurons, or roads, is relevant to many fields of research. For such structures, the topology is their most important characteristic; particularly preserving connectedness: in the
Suprosanna Shit   +8 more
semanticscholar   +1 more source

Differentiability of the arithmetic volume function [PDF]

open access: yes, 2008
We introduce the positive intersection product in Arakelov geometry and prove that the arithmetic volume function is continuously differentiable. As applications, we compute the distribution function of the asymptotic measure of a Hermitian line bundle ...
Chen, Huayi
core   +4 more sources

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