Interior controllability properties of multi-d fractional pdes: what is the state of the art? We make a complete analysis of the interior controllability/orbservability properties of multi-D fractional partial differential equations. We show what is so far known and what is still unknown.
Author: ADMIN
We propose results that relate the two contexts. The problems that we discuss arise from the mathematical description of elastic materials displaying heterogeneous incompatibilities of strains that may be associated with growth, swelling, shrinkage, plasticity, etc. Our results and methods display the interaction of nonlinear pdes, geometry, analysis and mechanics of materials in the prediction of patterns and shape formation.
The Department of Mathematics offers math tutoring in Room C-208 every day from 8:00AM to 5:00PM. HORARIO DE TUTORÍAS 3001 // 3105 // 3018 // 3071 // 3072 // 3026 // 3036 3040 // 3041 // 3042 // 3151 // 3152 // 3153 SEGUNDO SEMESTRE 2023-2024,
Congratulations to Esteban J. Rolón for his successful Dissertation Defense. If the frame below does not scroll on your device click here.
Congratulations to Richard A. Clare for his successful Dissertation Defense. If the frame below does not scroll on your device click here.
Academic Class Schedule — January 2024 The class schedule is subject to changes. Below is the version of the schedule as of November 26, 2023. The document has several pages. If the frame below does not scroll on your device click here.
The Algebraic Structures in Topology is a conference series that meets every two years in San Juan, Puerto Rico and is partially supported by the National Science Foundation, Purdue University, and the Institute of the Mathematical Sciences of the Americas at the University of Miami. The conferences will feature a variety of events focusing on recent developments in algebraic topology and their applications to geometry, physics, and data science. The next iteration of the series will occur on June 5 – June 14, 2024. This event will have three parts. From June 5th to June 7th it will feature three…
The world of statistics and data analysis is teeming with models designed to make sense of complex phenomena. Bayesian Model Selection, a powerful paradigm in statistical modeling, offers a principled approach to choosing the most appropriate model among a set of alternatives. In this introductory talk, we will embark on a journey into the introduction of Bayesian Model Selection, exploring its key concepts and principles. We will delve into the foundational notions of Bayes theorem and model comparison using simple examples. If you’re a seasoned a curious beginner, this presentation will provide valuable insights into the art and science of…
In this talk we deal with the fractal geometry and well-posedness of diffusion equations over a class of domains with ramified boundaries. These domains represent an idealization of the bronchial tree in the respiratory system. We discuss the solvability and global regularity of a generalized diffusion problem over these ramified sets.
In this talk, we present an alternative to obtaining an approximation of the Local Bayes Empirical Factor $latex B_{j,i}$ (based on real training data) for the comparison of the Nested Dynamic Linear Models (DLM’s) $latex M_j$ = DLM ARMR(1,1), and $latex M_i$ = DLM ARMA(1,0).