activity
19982022
most citedKalman Filtering with Equality and Inequality State Constraints

76 citations · 125 across the 30 of their papers we have counts for

collaborators

30 papers

cs.GT2022

A fundamental Game Theoretic model and approximate global Nash Equilibria computation for European Spot Power Markets

Ioan Alexandru Puiu, Raphael Andreas Hauser

Spot electricity markets are considered under a Game-Theoretic framework, where risk averse players submit orders to the market clearing mechanism to maximise their own utility. Co…

cs.GT2022

On Market Clearing of Day Ahead Auctions for European Power Markets: Cost Minimisation versus Social Welfare Maximisation

Ioan Alexandru Puiu, Raphael Andreas Hauser

For the case of inflexible demand and considering network constraints, we introduce a Cost Minimisation (CM) based market clearing mechanism, and a model representing the standard…

math.OC2020

A seven-point algorithm for piecewise smooth univariate minimization

Jonathan Grant-Peters, Raphael Hauser

In this paper, we construct an algorithm for minimising piecewise smooth functions for which derivative information is not available. The algorithm constructs a pair of quadratic f…

q-fin.TR2018

Optimal Trade Execution with Uncertain Volume Target

Julien Vaes, Raphael Hauser

In the seminal paper on optimal execution of portfolio transactions, Almgren and Chriss (2001) define the optimal trading strategy to liquidate a fixed volume of a single security…

cs.LG2018★ 3 cited

Low-Rank Boolean Matrix Approximation by Integer Programming

Reka Kovacs, Oktay Gunluk, Raphael Hauser

Low-rank approximations of data matrices are an important dimensionality reduction tool in machine learning and regression analysis. We consider the case of categorical variables,…

math.ST2017★ 1 cited

Quantifying the Estimation Error of Principal Components

Raphael Hauser, Raul Kangro, Jüri Lember +1

Principal component analysis is an important pattern recognition and dimensionality reduction tool in many applications. Principal components are computed as eigenvectors of a maxi…