Semi-Lipschitz Functions and Best Approximation in Quasi-Metric Spaces
By Salvador Romaguera, M. Sanchis. 2000
81 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Geometry and Topology, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/5933a74b5f9603ebfa824e92160ad7fdbc3fb150
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
In Geometry and Topology
- Stefan Cobzas
- L. M. García-Raffi
- Enrique Alfonso Sánchez-Pérez
- Salvador Romaguera
- Stojan Radenovic
- Pasquale Vetro
- Hassen Aydi
- Daniela Paesano
In Management Science and Operations Research
- Stefan Cobzas
- L. M. García-Raffi
- Enrique Alfonso Sánchez-Pérez
- Salvador Romaguera
- Pasquale Vetro
- Daniela Paesano
Citations in the corpus
- Duality and quasi-normability for complexity spaces (2002, background): “We start this section giving the definitions of a quasi-norm and of a quasinormed space in the sense of [5], [6] and [21] (see [4] for the related notion of a nonsymmetric norm).”
- The Dual Space of an Asymmetric Normed Linear Space (2003, methodology): “Asymmetric normed (semi)linear spaces and other related structures provide suitable tools in some fields of Theoretical Computer Science and Approximation Theory, respectively (see [16], [17], [14], [12], etc.”
- Functional Analysis in Asymmetric Normed Spaces (2012, background): “functions, one defines an extended quasi-metric on SLip(X) by the formula (7.8) δρ(f,g) = sup u((f−g)(x) −(f−g)(y)) ρ(x,y) : x,y∈ X,ρ(x,y) >0 . The following example, given by Romaguera and Sanchis [149], shows that δρ could be effectively an extended quasi-metric. Example 7.8. For x,y∈ R let ρ(x,y”