Ergebnisse für: Multivariate Algorithmics
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The focus of the thesis is on the development of fixed-parameter algorithms for NP-hard problems arising in computational biology. The considered problems model tasks in data clustering, construction of phylogenetic trees, predicting information on the three-dimensional structure of proteins, and ha...
This comprehensive and self-contained textbook presents an accessible overview of the state of the art of multivariate algorithmics and complexity. Increasingly, multivariate algorithmics is having significant practical impact in many application domains, with even more developments on the horizon. ...
This thesis studies the parameterized computational complexity of NP-hard problems that have applications in two areas of network analysis: clustering and querying. In particular, we aim at identifying parameters that describe the complexity of the computational problems and may thus serve as basis ...
This comprehensive and self-contained textbook presents an accessible overview of the state of the art of multivariate algorithmics and complexity. Increasingly, multivariate algorithmics is having significant practical impact in many application domains, with even more developments on the horizon. ...
This comprehensive and self-contained textbook presents an accessible overview of the state of the art of multivariate algorithmics and complexity. Increasingly, multivariate algorithmics is having significant practical impact in many application domains, with even more developments on the horizon. ...