Optimizing Parameters for Static Equilibrium of Discrete Elastic Rods With Active-Set Cholesky

We propose a parameter optimization method for achieving static equilibrium of discrete elastic rods. Our method simultaneously optimizes material stiffness and rest shape parameters under box constraints to exactly enforce zero net forces while avoiding stability issues and violations of physical laws. For efficiency, we split our constrained optimization problem into primal and dual subproblems via the augmented Lagrangian method, while handling the dual maximization subproblem via simple vector updates. To efficiently solve the box-constrained primal minimization subproblem, we propose a new active-set Cholesky preconditioner for variants of conjugate gradient solvers with active sets. Our method surpasses prior work in generality, robustness, and speed.

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Publication Details

Journal
IEEE Transactions on Visualization and Computer Graphics
Published
2025-10-16
DOI
https://doi.org/10.1109/tvcg.2025.3622483
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
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article

Optimizing Parameters for Static Equilibrium of Discrete Elastic Rods With Active-Set Cholesky

Christopher Batty, Tetsuya Takahashi
IEEE Transactions on Visualization and Computer Graphics
Advanced Numerical Analysis Techniques
article

Optimizing Parameters for Static Equilibrium of Discrete Elastic Rods With Active-Set Cholesky

Christopher Batty, Tetsuya Takahashi
article en

Abstract

We propose a parameter optimization method for achieving static equilibrium of discrete elastic rods. Our method simultaneously optimizes material stiffness and rest shape parameters under box constraints to exactly enforce zero net forces while avoiding stability issues and violations of physical laws. For efficiency, we split our constrained optimization problem into primal and dual subproblems via the augmented Lagrangian method, while handling the dual maximization subproblem via simple vector updates. To efficiently solve the box-constrained primal minimization subproblem, we propose a new active-set Cholesky preconditioner for variants of conjugate gradient solvers with active sets. Our method surpasses prior work in generality, robustness, and speed.

IEEE Transactions on Visualization and Computer GraphicsVol. 32(2)
University of Waterloo (CA), KLA (United States) (US)
Openalex Percentile: Top 68%
Advanced Numerical Analysis Techniques
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