textabstractGrothendieck inequalities are fundamental inequalities which are frequently used in many areas of mathematics and computer science. They can be interpreted as upper bounds for the integrality gap between two optimization problems: a difficult semidefinite program with rank-1 constraint and its easy semidefinite relaxation where the rank constraint is dropped. For instance, the integrality gap of the Goemans-Williamson approximation algorithm for MAX CUT can be seen as a Grothendieck inequality. In this paper we consider Grothendieck inequalities for ranks greater than 1 and we give two applications: approximating ground states in the n-vector model in statistical mechanics and XOR games in quantum information theory
In this thesis we investigate combinatorial conditions that guarantee the existence of low-rank opti...
In this thesis we investigate combinatorial conditions that guarantee the existence of low-rank opti...
htmlabstractMotivated by applications in quantum information theory and optimization we introduce n...
Grothendieck inequalities are fundamental inequalities which are frequently used in many areas of ma...
htmlabstractGrothendieck inequalities are fundamental inequalities which are frequently used in many...
Grothendieck inequalities are fundamental inequalities which are frequently used in many areas of ma...
Grothendieck inequalities are fundamental inequalities which are frequently used in many areas of ma...
Given a positive integer n and a positive semidefinite matrix A = (A_{ij}) of size m x m, the positi...
Given a positive integer n and a positive semidefinite matrix A = (A_{ij}) of size m x m, the positi...
Given a positive integer n and a positive semidefinite matrix A = (A_{ij}) of size m x m, the positi...
Given a graph G = (V;E), consider the following problem: The input is a function A: E! R, and the go...
Given a graph G = ([n],E) and w ∈ R^E, consider the integer program max x∈{±1}^n \sum_{ij∈E} w_{ij} ...
Given a graph G = ([n],E) and w ∈ R^E, consider the integer program max x∈{±1}^n \sum_{ij∈E} w_{ij} ...
Abstract. We survey connections of the Grothendieck inequality and its variants to com-binatorial op...
Abstract: The classical Grothendieck inequality has applications to the design of ap-proximation alg...
In this thesis we investigate combinatorial conditions that guarantee the existence of low-rank opti...
In this thesis we investigate combinatorial conditions that guarantee the existence of low-rank opti...
htmlabstractMotivated by applications in quantum information theory and optimization we introduce n...
Grothendieck inequalities are fundamental inequalities which are frequently used in many areas of ma...
htmlabstractGrothendieck inequalities are fundamental inequalities which are frequently used in many...
Grothendieck inequalities are fundamental inequalities which are frequently used in many areas of ma...
Grothendieck inequalities are fundamental inequalities which are frequently used in many areas of ma...
Given a positive integer n and a positive semidefinite matrix A = (A_{ij}) of size m x m, the positi...
Given a positive integer n and a positive semidefinite matrix A = (A_{ij}) of size m x m, the positi...
Given a positive integer n and a positive semidefinite matrix A = (A_{ij}) of size m x m, the positi...
Given a graph G = (V;E), consider the following problem: The input is a function A: E! R, and the go...
Given a graph G = ([n],E) and w ∈ R^E, consider the integer program max x∈{±1}^n \sum_{ij∈E} w_{ij} ...
Given a graph G = ([n],E) and w ∈ R^E, consider the integer program max x∈{±1}^n \sum_{ij∈E} w_{ij} ...
Abstract. We survey connections of the Grothendieck inequality and its variants to com-binatorial op...
Abstract: The classical Grothendieck inequality has applications to the design of ap-proximation alg...
In this thesis we investigate combinatorial conditions that guarantee the existence of low-rank opti...
In this thesis we investigate combinatorial conditions that guarantee the existence of low-rank opti...
htmlabstractMotivated by applications in quantum information theory and optimization we introduce n...