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THE JOHNS HOPKINS UNIVERSITY
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You are viewing titles for THE JOHNS HOPKINS UNIVERSITY in the Mathematics available through the UMI Dissertations & Thesis Gradwoorks site
Exact and asymptotic dot product representations of graphs
Hole probability and large deviations in the distribution of the zeros of Gaussian random holomorphic functions
Statistics of critical points in Kahler geometry and string theory
The geography of log models and its applications
Statistics of complex zeros and critical points of systems of real random polynomials
Numerical evaluation of multi-state American options
Energies of zeros of random sections on Riemann surfaces
Nearby cycles, archimedean complex and periodicity in cyclic homology
Latent position random graphs: Theory, inference, and applications
Embedded minimal surfaces of finite topology and one end
Strong rational connectedness of toric varieties
The geometry of renormalization
Eigenvalues and eigenfunctions of Schrodinger operators: Inverse spectral theory; and the zeros of eigenfunctions
Stopping times and confidence bounds for small-sample stochastic approximation algorithms
Bilinear Strichartz estimates in two dimensional compact manifolds and cubic nonlinear Schrodinger equations
Embedded minimal disks with curvature blow-up on a line segment
Embedded minimal spheres in 3-manifolds
Balanced metrics in Kahler geometry
On convergence of singular series for a pair of quadratic forms
The Plateau Problem in Alexandrov spaces
Asymptotic analysis of various statistics for random graph inference
Theory and algorithms for set-function optimization
Random threshold graphs and related topics
Existence and structure of solutions of Steiner problems in optimal transport
Real Johnson-Wilson theories and non-immersions of projective spaces
Choosing a dissimilarity representation for classification
Symmetric Sarkisov links of Fano threefolds
On the existence of closed geodesics and uniqueness of weakly harmonic maps
Smooth weak Fano threefolds
A repertoire of cost functions for the QuickSort algorithm
Classification and analysis of low index Mean Curvature Flow self-shrinkers
Small sample learning of multivariate distributions with compositional graphical models