Results 31 to 40 of about 5,858,860 (191)
Sliding Motions on Non‐Euclidean State Spaces: A Differential‐Geometric Perspective
International Journal of Robust and Nonlinear Control, EarlyView.ABSTRACT This paper extends sliding‐mode control theory to nonlinear systems evolving on smooth manifolds. Building on differential geometric methods, we reformulate Filippov's notion of solutions, characterize well‐defined vector fields on quotient spaces, and provide a consistent geometric definition of higher‐order sliding modes.
Fernando Castaños
wiley +1 more source
Totally real submanifolds of the nearly kaehler 6-sphere [PDF]
, 1997 Totally real 3-dimensiunal submanifolds of the nearly Kaehler 6-sphere are the main topic of this thesis. Having introduced preliminaries on the theory of complex and almost complex manifolds, the nearly Kaehler structure of S(^6) and the non existence ...
Travlopanos, Fotios
core
Special Lagrangian submanifolds with isolated conical singularities. II. Moduli spaces [PDF]
, 2002 This is the second in a series of five papers math.DG/0211294, math.DG/0302355, math.DG/0302356, math.DG/0303272 studying special Lagrangian submanifolds (SL m-folds) X in (almost) Calabi-Yau m-folds M with singularities x_1,...,x_n locally modelled on ...
Joyce, D, Joyce, Dominic
core +1 more source
Solving Local Equivalence Problems with the Equivariant Moving Frame Method
Symmetry, Integrability and Geometry: Methods and Applications, 2013 Given a Lie pseudo-group action, an equivariant moving frame exists in the neighborhood of a submanifold jet provided the action is free and regular. For local equivalence problems the freeness requirement cannot always be satisfied and in this paper we ...
Francis Valiquette
doaj +1 more source
On some submanifolds of a locally product manifold [PDF]
Kodai Mathematical Journal, 1986 In this paper the author defines a cohomology class for each compact semi-invariant submanifold M of a locally product Riemannian manifold M' and uses this cohomology class to obtain a necessary condition for the semi-invariant submanifold to have certain non-vanishing cohomology groups. He also studies the stability of anti-invariant submanifolds in a
openaire +2 more sources
Calibrating Bayesian inference
British Journal of Mathematical and Statistical Psychology, EarlyView.Abstract Bayesian statistics has gained popularity in psychological research due to its intuitive uncertainty quantification and convenient information‐updating rules. In many applications, however, prior distributions are introduced merely as instruments to facilitate computation, rather than as representations of genuine subjective belief ...
Yang Liu +2 more
wiley +1 more source
Guidelines on parking management : sustainable mobility [PDF]
, 2023 This document is one in a series of documents on Sustainable Mobility and includes other important subjects – Walkability and Accessibility, Shared Transport, Last Mile Transportation and EV Changeover, previously issued by the Local Councils ...
Zammit, Antoine +1 more
core
Survey on differential estimators for 3d point clouds
Computer Graphics Forum, EarlyView.Abstract Recent advancements in 3D scanning technologies, including LiDAR and photogrammetry, have enabled the precise digital replication of real‐world objects. These methods are widely used in fields such as GIS, robotics, and cultural heritage. However, the point clouds generated by such scans are often noisy and unstructured, posing challenges for ...
Léo Arnal–Anger +4 more
wiley +1 more source
Exponential networks for linear partitions
SciPost PhysicsPrevious work has given proof and evidence that BPS states in local Calabi-Yau 3-folds can be described and counted by exponential networks on the punctured plane, with the help of a suitable non-abelianization map to the mirror curve.
Sibasish Banerjee, Mauricio Romo, Raphael Senghaas, Johannes Walcher
doaj +1 more source
Tangent Blow‐Ups for Processing Non‐Manifold Geometry
Computer Graphics Forum, EarlyView.Abstract Many geometry processing pipelines implicitly assume their input data is a manifold, or is sampled from one, with a unique tangent plane at every point. Geometric data, however, routinely contains sharp features like edges, corners, self‐intersections, branching junctions, and other singularities, rendering standard methods ill‐defined at ...
Alice Petrov +3 more
wiley +1 more source