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Found 5 papers, 1 papers with code
Elastica Models for Color Image Regularization
Recently, the authors proposed a color elastica model, which minimizes both the surface area and elastica of the image manifold.
An Operator-Splitting Method for the Gaussian Curvature Regularization Model with Applications to Surface Smoothing and Imaging
In our method, we decouple the full nonlinearity of Gaussian curvature from differential operators by introducing two matrix- and vector-valued functions.
Bilinear Optimal Control of an Advection-reaction-diffusion System
However, due to the additional divergence-free constraint on the control variable and the nonlinear relation between the state and control variables, it is challenging to compute the gradient and the optimal stepsize at each CG iteration, and thus nontrivial to implement the CG method.
Optimization and Control 49M41, 35Q93, 49J20
A Color Elastica Model for Vector-Valued Image Regularization
Here, we introduce an addition to the Polyakov action for color images that minimizes the color manifold curvature.
Discrete Dynamical System Approaches for Boolean Polynomial Optimization
We have tested our ODE approaches and compared with the classical nonlinear optimization solver IPOPT and a quadratic binary formulation approach (QB-G) as well as an exhaustive method using parallel computing techniques.
Optimization and Control Dynamical Systems 90C09, 90C10, 90C27, 90C30, 35Q90, 65K05
