Publications related to Bootstrapping massive quantum field theories

Random extrapolation for primal-dual coordinate descent

We introduce a randomly extrapolated primal-dual coordinate descent method that adapts to sparsity of the data matrix and the favorable structures of the objective function. Our method updates only a subset of primal and dual variables with sparse data, an ...

2020

Topology-Finding of Tensegrity Structures Considering Global Stability Condition

Yafeng Wang

This study proposes a general framework for topology-finding or topology optimization of tensegrity structures. The existing topology-finding formulation of tensegrity structures based on mixed-integer linear programming (MILP) was improved and transformed ...

ASCE-AMER SOC CIVIL ENGINEERS2020

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 x 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 can a ...

ELSEVIER SCIENCE INC2020

Allocation of Active Power Reserve from Active Distribution Networks Using a Cost-Benefit Approach: Application to Swissgrid Network

Fabrizio Sossan, Mokhtar Bozorg, Mohsen Kalantar Neyestanaki

The flexibility of distributed energy resources (DERs) accommodated in active distribution networks (ADNs) can be aggregated and then used to provide ancillary services to the transmission system. In this context, this paper presents a linear optimization ...

IEEE2019

Linear-parameter-varying approximation of nonlinear dynamics for model predictive flow control of urban multi-region systems

Nikolaos Geroliminis, Anastasios Kouvelas, Mohammadreza Saeedmanesh

An alternative approach for real-time network- wide traffic control in cities that has recently gained a lot of interest is perimeter flow control. The focus of the current work is to study two aspects that are not covered in the perimeter control literatu ...

2019

Linear-parameter-varying model predictive control for multi-region traffic systems

Nikolaos Geroliminis, Anastasios Kouvelas, Mohammadreza Saeedmanesh

An alternative approach for real-time network-wide traffic control in cities that has recently gained a lot of interest is perimeter flow control. The basic concept of such an approach is to partition heterogeneous cities into a small number of homogeneous ...

2019

Seismic displacement demand prediction in non-linear domain: Optimization of the N2 method

Pierino Lestuzzi, Lorenzo Diana

In Europe, computation of displacement demand for seismic assessment of existing buildings is essentially based on a simplified formulation of the N2 method as prescribed by Eurocode 8 (EC8). However, a lack of accuracy of the N2 method in certain conditio ...

2019

Streaming Low-Rank Matrix Approximation With An Application To Scientific Simulation

Volkan Cevher, Alp Yurtsever

This paper argues that randomized linear sketching is a natural tool for on-the-fly compression of data matrices that arise from large-scale scientific simulations and data collection. The technical contribution consists in a new algorithm for constructing ...

2019

Method of displaying an image on a see-through display

Sabine Süsstrunk, Adrien Birbaumer, Martinus Bosch

The present invention concerns a method of displaying an image on a see-through display. The method comprises: obtaining (101) a first electromagnetic radiation matrix of an object, the first matrix comprising first matrix elements representing radiation i ...

2019

Rational Krylov for Stieltjes matrix functions: convergence and pole selection

Stefano Massei

Evaluating the action of a matrix function on a vector, that is

x=f(\mathcal M)v

, is an ubiquitous task in applications. When

\mathcal M

is large, one usually relies on Krylov projection methods. In this paper, we provide effective choices for the pole ...

2019

Bootstrapping massive quantum field theories

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Random extrapolation for primal-dual coordinate descent

Topology-Finding of Tensegrity Structures Considering Global Stability Condition

On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices

Allocation of Active Power Reserve from Active Distribution Networks Using a Cost-Benefit Approach: Application to Swissgrid Network

Linear-parameter-varying approximation of nonlinear dynamics for model predictive flow control of urban multi-region systems

Linear-parameter-varying model predictive control for multi-region traffic systems

Seismic displacement demand prediction in non-linear domain: Optimization of the N2 method

Streaming Low-Rank Matrix Approximation With An Application To Scientific Simulation

Method of displaying an image on a see-through display

Rational Krylov for Stieltjes matrix functions: convergence and pole selection

Streaming Low-Rank Matrix Approximation With An Application To Scientific Simulation

Allocation of Active Power Reserve from Active Distribution Networks Using a Cost-Benefit Approach: Application to Swissgrid Network

Random extrapolation for primal-dual coordinate descent

Seismic displacement demand prediction in non-linear domain: Optimization of the N2 method

Rational Krylov for Stieltjes matrix functions: convergence and pole selection

Topology-Finding of Tensegrity Structures Considering Global Stability Condition

On maximum volume submatrices and cross approximation for symmetric semidefinite and diagonally dominant matrices

Linear-parameter-varying approximation of nonlinear dynamics for model predictive flow control of urban multi-region systems

Linear-parameter-varying model predictive control for multi-region traffic systems

Method of displaying an image on a see-through display