نتایج جستجو برای: maximum degree

تعداد نتایج: 578216  

2006
Fabrizio Catanese Serkan Hoşten Amit Khetan Bernd Sturmfels

Maximum likelihood estimation in statistics leads to the problem of maximizing a product of powers of polynomials. We study the algebraic degree of the critical equations of this optimization problem. This degree is related to the number of bounded regions in the corresponding arrangement of hypersurfaces, and to the Euler characteristic of the complexified complement. Under suitable hypotheses...

Journal: :J. Comb. Theory, Ser. B 2008
L. Sunil Chandran Mathew C. Francis Naveen Sivadasan

An axis-parallel d–dimensional box is a Cartesian product R1 × R2 × · · · × Rd where Ri (for 1 ≤ i ≤ d) is a closed interval of the form [ai, bi] on the real line. For a graph G, its boxicity box(G) is the minimum dimension d, such that G is representable as the intersection graph of (axis–parallel) boxes in d–dimensional space. The concept of boxicity finds applications in various areas such a...

Journal: :bulletin of the iranian mathematical society 2012
x. zhang g. liu j. l. wu

a proper vertex coloring of a simple graph is $k$-forested if the graph induced by the vertices of any two color classes is a forest with maximum degree less than $k$. a graph is $k$-forested $q$-choosable if for a given list of $q$ colors associated with each vertex $v$, there exists a $k$-forested coloring of $g$ such that each vertex receives a color from its own list. in this paper, we prov...

Journal: :Electronic Notes in Discrete Mathematics 2016

Journal: :Journal of Algebraic Statistics 2014

Journal: :European Journal of Combinatorics 1994

A proper vertex coloring of a simple graph is $k$-forested if the graph induced by the vertices of any two color classes is a forest with maximum degree less than $k$. A graph is $k$-forested $q$-choosable if for a given list of $q$ colors associated with each vertex $v$, there exists a $k$-forested coloring of $G$ such that each vertex receives a color from its own list. In this paper, we prov...

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