Summary. This paper provides an introduction to the topic of optimization on manifolds. The approach taken uses the language of differential geometry, however, we choose to emphasise the intuition of the concepts and the structures that are important in generating practical numerical algorithms rather than the technical details of the formulation. There are a number of algorithms that can be applied to solve such problems and we discuss the steepest descent and Newton’s method in some detail as well as referencing the more important of the other approaches. There are a wide range of potential applications that we are aware of, and we briefly discuss these applications, as well as explaining one or two in more detail
Optimization on manifolds is a powerful paradigm to address nonlinear optimization problems. It has ...
The optimization of a real-valued objective function f(U), where U is a p X d,p > d, semi-orthogonal...
Manifold optimization appears in a wide variety of computational problems in the applied sciences. I...
This paper provides an introduction to the topic of optimization on manifolds. The approach taken us...
Summary. This paper provides an introduction to the topic of optimization on manifolds. The approach...
This paper provides an introduction to the topic of optimization on manifolds. The approach taken u...
Many problems in the sciences and engineering can be rephrased as optimization problems on matrix se...
Many problems in the sciences and engineering can be rephrased as optimization problems on matrix se...
Many problems in the sciences and engineering can be rephrased as optimization problems on matrix se...
Many problems in the sciences and engineering can be rephrased as optimization problems on matrix se...
Numerical minimisation of a cost function on Euclidean space is a well studied problem. Sometimes th...
This book shows how to exploit the special structure of such problems to develop efficient numerical...
Abstract. The techniques and analysis presented in this paper provide new meth-ods to solve optimiza...
Many problems in the sciences and engineering can be rephrased as optimization problems on matrix se...
How to make the best decision? This general concern, pervasive in both research and industry, is wha...
Optimization on manifolds is a powerful paradigm to address nonlinear optimization problems. It has ...
The optimization of a real-valued objective function f(U), where U is a p X d,p > d, semi-orthogonal...
Manifold optimization appears in a wide variety of computational problems in the applied sciences. I...
This paper provides an introduction to the topic of optimization on manifolds. The approach taken us...
Summary. This paper provides an introduction to the topic of optimization on manifolds. The approach...
This paper provides an introduction to the topic of optimization on manifolds. The approach taken u...
Many problems in the sciences and engineering can be rephrased as optimization problems on matrix se...
Many problems in the sciences and engineering can be rephrased as optimization problems on matrix se...
Many problems in the sciences and engineering can be rephrased as optimization problems on matrix se...
Many problems in the sciences and engineering can be rephrased as optimization problems on matrix se...
Numerical minimisation of a cost function on Euclidean space is a well studied problem. Sometimes th...
This book shows how to exploit the special structure of such problems to develop efficient numerical...
Abstract. The techniques and analysis presented in this paper provide new meth-ods to solve optimiza...
Many problems in the sciences and engineering can be rephrased as optimization problems on matrix se...
How to make the best decision? This general concern, pervasive in both research and industry, is wha...
Optimization on manifolds is a powerful paradigm to address nonlinear optimization problems. It has ...
The optimization of a real-valued objective function f(U), where U is a p X d,p > d, semi-orthogonal...
Manifold optimization appears in a wide variety of computational problems in the applied sciences. I...