Web Reference: In computer science, parameterized complexity is a branch of computational complexity theory that focuses on classifying computational problems according to their inherent difficulty with respect to multiple parameters of the input or output. Parameterized complexity on the other hand, considers additional parameters of the input instance allowing for a more fine- grained analysis. Many interesting problems in computer science have natural parameters defining the problem. For instance the vertex cover problem “Is there a vertex cover of size Summary: This paper shows some applications of parameterized complexity to computational problems in social choice, such as algorithmic questions in election manipulation.
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Introduction to Parameterized Complexity and Kernelization
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Vincent Cohen-Added: On the Parameterized Complexity of Various Clustering Problems
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Parameterized Complexity of (n − k) List Coloring -- Ashwin Jacob
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Unbreakable Decomposition and Applications - II | Saket Saurabh | Parameterized Complexity Workshop
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Lower Bounds for Subexponential Parameterized Complexity of Minimum Fill-in and Related Problems
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Hans Bodlaender: Parameterized Problems Complete for Nondeterministic FPT time and Logarithmic Space
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FPT In-Approximability - III | Karthik C. S. | Parameterized Complexity Workshop
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FPT L23: Hardness of kernelization I

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