Publications associées à Bootstrapping massive quantum field theories

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MATHICSE Technical Report : On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices

Daniel Kressner, Stefano Massei, Alice Cortinovis

The problem of finding a

k\times k

submatrix of maximum volume of a matrix A is of interest in a variety of applications. For example, it yields a quasi-best low-rank approximation constructed from the rows and columns of A. We show that such a submatrix ...

MATHICSE2019

Bootstrapping massive quantum field theories

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An adaptive primal-dual framework for nonsmooth convex minimization

The S-matrix bootstrap. Part III: higher dimensional amplitudes

An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints

MATHICSE Technical Report : On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices

On the Averaged Green’s Function of an Elliptic Equation with Random Coefficients

Multi-panel, on-single-chip Memristive Biosensing

New Algorithmic Paradigms for Discrete Problems using Dynamical Systems and Polynomials

Sharp sphere packings

Convergence of the Exponentiated Gradient Method with Armijo Line Search

Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization

An adaptive primal-dual framework for nonsmooth convex minimization

The S-matrix bootstrap. Part III: higher dimensional amplitudes

Multi-panel, on-single-chip Memristive Biosensing

New Algorithmic Paradigms for Discrete Problems using Dynamical Systems and Polynomials

Convergence of the Exponentiated Gradient Method with Armijo Line Search

Accelerated Stochastic Matrix Inversion: General Theory and Speeding up BFGS Rules for Faster Second-Order Optimization

Sharp sphere packings

MATHICSE Technical Report : On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices

An Inexact Augmented Lagrangian Framework for Nonconvex Optimization with Nonlinear Constraints

On the Averaged Green’s Function of an Elliptic Equation with Random Coefficients