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The Ricci flow is a powerful tool in geometry to construct the canonical metric on a given manifold. It can be viewed as a nonlinear heat flow of the Riemannian metric and may develop finite time sing...
The problem of using covariates to predict shapes of objects in a regression setting is important in many fields. A formal statistical approach, termed geodesic regression model, is commonly used for ...
International Conference on Geometry and Mathematical Models in Complex Phenomena (ICGMMCP-2017) during December 5th -7th, 2017.There will be special session dedicated to Acharyya Satyendra Nath Bose,...
This paper presents work on parameter estimation methods for bursting neural models. In our approach we use both geometrical features specific to bursting, as well as general features such as perio...
Exact solution of some new planar polygon models. Plus aspects of a ”new” SAW model.
In this paper, we provide an invariant formulation of completely integrable $CP^{N-1}$ Euclidean sigma models in two dimensions defined on the Riemann sphere $S^2$. The scaling invariance is explicitl...

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