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Today:
Departmental Tea Time
C is for cookie, and shorthand for C[0,1] w/the sup norm
Time: 3: Room: 204 LOV

Biomathematics Graduate Seminar [url]
    - TBA, Department of Mathematics, FSU
Time: 3:35pm Room: LOV 200

Complex Analysis
Klein surfaces and NEC groups
Time: 3:35 Room: 104 Love

Entries for this week: 9
Monday September 26, 2016

Biomathematical Journals
Onset, Timing, and Exposure Therapy of Stress Disorders: Mechanistic Insight From a Mathematical Model of Oscillating Neuroendocrine Dynamics
    - Richard Bertram,
Time: 6:45 Room: Dirac library
Tuesday September 27, 2016

Geometry and Topology
Cauchy Rigidity of c-Polyhedra II
    - Phil Bowers, FSU
Time: 3:35 PM Room: LOV 201
Applied PDE seminar
Homogenization of fluid equations in porous media, II
    - Dr. Shu Gu, FSU
Time: 3:30-4:30 Room: LOV104
Abstract/Desc: Derivation of the phenomenological Darcy's equation from the (Navier-)Stokes equations in porous media via homogenization. This is one of the examples of deriving macroscopic effective equations from microscopic models. The homogenization method is a fundamental tool in applied mathematics. The focus of the second talk is rigorous mathematical justification.
Wednesday September 28, 2016

Departmental Tea Time
C is for cookie, and shorthand for C[0,1] w/the sup norm
Time: 3: Room: 204 LOV
Biomathematics Graduate Seminar [url]
    - TBA, Department of Mathematics, FSU
Time: 3:35pm Room: LOV 200
Complex Analysis
Klein surfaces and NEC groups
Time: 3:35 Room: 104 Love
Thursday September 29, 2016

Financial Mathematics Seminar
Variational approximations for exponential random graph models
    - Lingjiong Zhu,
Time: 3:35pm Room: 201 Lov
Abstract/Desc: We study a model of strategic network formation with heterogeneous players, that converges to an exponential random graph model. The likelihood of observing a specific network is known up to an intractable normalizing constant, which is infeasible to compute. The standard estimation method uses an MCMC algorithm that generates the samples from the exponential random graph model to provide an estimate of the normalizing constant. We provide an alternative tractable method of estimation for a large class of exponential random graph models. We show that a mean-field variational approximation of the likelihood provides a lower bound for the normalizing constant, which becomes exact as the network size grows to infinity. We also provide exact bounds for the approximation error of the variational mean-field for fixed network size. Special cases including the model featuring extreme homophily will also be discussed. This is based on the joint work with Angelo Mele.
Algebra and its applications [url]
Chern classes of Schubert varieties, II
    - Paolo Aluffi, FSU
Time: 3:35 pm Room: 104 LOV
Abstract/Desc: We compute the Chern-Schwartz-MacPherson classes of Schubert varieties in flag manifolds. These classes are obtained by constructing a representation of the Weil group, by means of certain Demazure-Lusztig type operators. The construction extends to the equivariant setting. Based on explicit computations in low dimension, we conjecture that these classes are Schubert-positive; the analogous conjecture for Schubert varieties of Grassmannians was recently proven by June Huh. This is joint work with Leonardo Mihalcea.
Friday September 30, 2016

Colloquium Tea
Time: 3:00 pm Room: 204 LOV

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