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pro vyhledávání: '"Werner Frank"'
Autor:
Werner, Frank, Hofmann, Bernd
Covering ill-posed problems with compact and non-compact operators regarding the degree of ill-posedness is a never ending story written by many authors in the inverse problems literature. This paper tries to add a new narrative and some new facets w
Externí odkaz:
http://arxiv.org/abs/2408.01148
Since the publication of the first scheduling paper in 1954, a huge number of works dealing with different types of single machine problems appeared. They addressed many heuristics and enumerative procedures, complexity results or structural properti
Externí odkaz:
http://arxiv.org/abs/2405.18789
Autor:
Kretschmann, Remo, Werner, Frank
This paper is concerned with a Bayesian approach to testing hypotheses in statistical inverse problems. Based on the posterior distribution $\Pi \left(\cdot |Y = y\right)$, we want to infer whether a feature $\langle\varphi, u^\dagger\rangle$ of the
Externí odkaz:
http://arxiv.org/abs/2402.00686
Autor:
Garg, Vanita, Deep, Kusum, Alnowibet, Khalid Abdulaziz, Mohamed, Ali Wagdy, Shokouhifar, Mohammad, Werner, Frank
In this paper, an ensemble metaheuristic algorithm (denoted as LX-BBSCA) is introduced. It combines the strengths of Laplacian Biogeography-Based Optimization (LX-BBO) and the Sine Cosine Algorithm (SCA) to address structural engineering design optim
Externí odkaz:
http://arxiv.org/abs/2310.05159
We develop a multiscale scanning method to find anomalies in a $d$-dimensional random field in the presence of nuisance parameters. This covers the common situation that either the baseline-level or additional parameters such as the variance are unkn
Externí odkaz:
http://arxiv.org/abs/2307.13301
This paper addresses the scheduling problem on two identical parallel machines with a single server in charge of loading and unloading operations of jobs. Each job has to be loaded by the server before being processed on one of the two machines and u
Externí odkaz:
http://arxiv.org/abs/2306.16669
Autor:
Li, Housen, Werner, Frank
Publikováno v:
Inverse Problems, Volume 40, Number 2, 2024
We consider statistical linear inverse problems in separable Hilbert spaces and filter-based reconstruction methods of the form $\hat f_\alpha = q_\alpha \left(T^*T\right)T^*Y$, where $Y$ is the available data, $T$ the forward operator, $\left(q_\alp
Externí odkaz:
http://arxiv.org/abs/2304.10356
In this paper, we denoise a given noisy image by minimizing a smoothness promoting function over a set of local similarity measures which compare the mean of the given image and some candidate image on a large collection of subboxes. The associated c
Externí odkaz:
http://arxiv.org/abs/2304.06434
Autor:
Gafarov, Evgeny R., Werner, Frank
In this paper, we consider scheduling problems that arise in connected and autonomous vehicle systems. For four variants of such problems, mathematical models and solution algorithms are presented. In particular, three polynomial algorithms and a bra
Externí odkaz:
http://arxiv.org/abs/2304.01806
Publikováno v:
Inverse Problems 40:015013 (2024)
Testing of hypotheses is a well studied topic in mathematical statistics. Recently, this issue has also been addressed in the context of Inverse Problems, where the quantity of interest is not directly accessible but only after the inversion of a (po
Externí odkaz:
http://arxiv.org/abs/2212.12897