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We introduce variational obstacle avoidance problems on Riemannian manifolds and derive necessary conditions for the existence of their normal extremals. The problem consists of minimizing an energy functional depending on the velocity and…

Optimization and Control · Mathematics 2017-03-17 Anthony Bloch , Margarida Camarinha , Leonardo Colombo

Riemannian cubics are critical points for the $L^2$ norm of acceleration of curves in Riemannian manifolds $M$. In the present paper the $L^\infty$ norm replaces the $L^2$ norm, and a less direct argument is used to derive necessary…

Differential Geometry · Mathematics 2011-04-14 Lyle Noakes

Motivated by applications in computational anatomy, we consider a second-order problem in the calculus of variations on object manifolds that are acted upon by Lie groups of smooth invertible transformations. This problem leads to solution…

Optimization and Control · Mathematics 2015-06-03 François Gay-Balmaz , Darryl D. Holm , David M. Meier , Tudor S. Ratiu , François-Xavier Vialard

We introduce variational problems on Riemannian manifolds with constrained acceleration and derive necessary conditions for normal extremals in the constrained variational problem. The problem consists on minimizing a higher-order energy…

Optimization and Control · Mathematics 2022-02-25 Alexandre Anahory Simoes , Leonardo Colombo

In this paper, we investigate the multi-objective optimal control problem of ordinary differential equations on Riemannian manifolds. We first obtain the second-order necessary conditions for weak Pareto optimal solutions for…

Optimization and Control · Mathematics 2025-02-14 Li Deng

In this letter we study variational obstacle avoidance problems on complete Riemannian manifolds. The problem consists of minimizing an energy functional depending on the velocity, covariant acceleration and a repulsive potential function…

Systems and Control · Electrical Eng. & Systems 2019-09-30 Anthony Bloch , Margarida Camarinha , Leonardo Colombo

In this paper we analyze theoretical properties of bi-objective convex-quadratic problems. We give a complete description of their Pareto set and prove the convexity of their Pareto front. We show that the Pareto set is a line segment when…

Optimization and Control · Mathematics 2018-12-04 Cheikh Toure , Anne Auger , Dimo Brockhoff , Nikolaus Hansen

Optimization problems have been the subject of statistical physics approximations. A specially relevant and general scenario is provided by optimization methods considering tradeoffs between cost and efficiency, where optimal solutions…

Statistical Mechanics · Physics 2015-09-16 Luís F. Seoane , Ricard V. Solé

In this article we introduce a variational approach to collision avoidance of multiple agents evolving on a Riemannian manifold and derive necessary conditions for extremals. The problem consists of finding non-intersecting trajectories of…

Systems and Control · Computer Science 2018-04-03 Mishal Assif , Ravi Banavar , Anthony Bloch , Margarida Camarinha , Leonardo Colombo

This paper is concerned with the computation of an optimal matching between two manifold-valued curves. Curves are seen as elements of an infinite-dimensional manifold and compared using a Riemannian metric that is invariant under the…

Differential Geometry · Mathematics 2024-01-11 Alice Le Brigant , Marc Arnaudon , Frédéric Barbaresco

We give a new characterisation of the unparametrised geodesics, or distinguished curves, for affine, pseudo-Riemannian, conformal, and projective geometry. This is a type of moving incidence relation. The characterisation is used to provide…

Differential Geometry · Mathematics 2020-01-08 A. Rod Gover , Daniel Snell , Arman Taghavi-Chabert

The curvature discussed in this paper is a rather far going generalization of the Riemannian sectional curvature. We define it for a wide class of optimal control problems: a unified framework including geometric structures such as…

Differential Geometry · Mathematics 2018-11-30 Andrei Agrachev , Davide Barilari , Luca Rizzi

This paper studies sufficient conditions in a variational obstacle avoidance problem on complete Riemannian manifolds. That is, we minimize an action functional, among a set of admissible curves, which depends on an artificial potential…

Optimization and Control · Mathematics 2023-10-30 Jacob R. Goodman , Leonardo J. Colombo

In this paper, a descent method for nonsmooth multiobjective optimization problems on complete Riemannian manifolds is proposed. The objective functions are only assumed to be locally Lipschitz continuous instead of convexity used in…

Optimization and Control · Mathematics 2025-01-14 Chunming Tang , Hao He , Jinbao Jian , Miantao Chao

In multiobjective optimisation, a set of scalable test problems with a variety of features allow researchers to investigate and evaluate the abilities of different optimisation algorithms, and thus can help them to design and develop more…

Neural and Evolutionary Computing · Computer Science 2022-08-24 Liangli Zhen , Miqing Li , Ran Cheng , Dezhong Peng , Xin Yao

We uncover some connections between the topology of a complete Riemannian surface M and the minimum number of vertices, i.e., critical points of geodesic curvature, of closed curves in M. In particular we show that the space forms with…

Differential Geometry · Mathematics 2010-06-23 Mohammad Ghomi

The equivalence problem of curves with values in a Riemannian manifold, is solved. The domain of validity of Frenet's theorem is shown to be the spaces of constant curvature. For a general Riemannian manifold new invariants must thus be…

Differential Geometry · Mathematics 2012-07-20 M. Castrillon Lopez , V. Fernandez Mateos , J. Munoz Masque

We present a method for proving the existence of solutions to a class of one dimensional variational problems. The method is demonstrated by two examples of optimal interpolation problems which are motivated by engineering applications. In…

Differential Geometry · Mathematics 2014-02-25 Philip Schrader

Convex quadratic objective functions are an important base case in state-of-the-art benchmark collections for single-objective optimization on continuous domains. Although often considered rather simple, they represent the highly relevant…

Neural and Evolutionary Computing · Computer Science 2019-04-04 Tobias Glasmachers

In previous work, we developed a topological framework for solving Riemann initial-value problems for a system of conservation laws. Its core is a differentiable manifold, called the wave manifold, with points representing shock and…

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