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Ministry points: Help
| Year | Points | List |
|---|---|---|
| Year 2024 | 70 | Ministry scored journals list 2024 |
| Year | Points | List |
|---|---|---|
| 2024 | 70 | Ministry scored journals list 2024 |
| 2023 | 70 | Ministry Scored Journals List |
| 2022 | 70 | Ministry Scored Journals List 2019-2022 |
| 2021 | 70 | Ministry Scored Journals List 2019-2022 |
| 2020 | 70 | Ministry Scored Journals List 2019-2022 |
| 2019 | 70 | Ministry Scored Journals List 2019-2022 |
| 2018 | 25 | A |
| 2017 | 25 | A |
| 2016 | 25 | A |
| 2015 | 25 | A |
| 2014 | 20 | A |
| 2013 | 20 | A |
| 2012 | 25 | A |
| 2011 | 25 | A |
| 2010 | 20 | A |
Model:
Points CiteScore:
| Year | Points |
|---|---|
| Year 2023 | 2 |
| Year | Points |
|---|---|
| 2023 | 2 |
| 2022 | 2.4 |
| 2021 | 2.3 |
| 2020 | 2.1 |
| 2019 | 2 |
| 2018 | 1.8 |
| 2017 | 2 |
| 2016 | 2 |
| 2015 | 2 |
| 2014 | 1.6 |
| 2013 | 1.5 |
| 2012 | 1.6 |
| 2011 | 1.6 |
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Papers published in journal
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total: 7
Catalog Journals
Year 2022
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On zero-error codes produced by greedy algorithms
PublicationWe present two greedy algorithms that determine zero-error codes and lower bounds on the zero-error capacity. These algorithms have many advantages, e.g., they do not store a whole product graph in a computer memory and they use the so-called distributions in all dimensions to get better approximations of the zero-error capacity. We also show an additional application of our algorithms.
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Paired domination versus domination and packing number in graphs
PublicationGiven a graph G = (V(G), E(G)), the size of a minimum dominating set, minimum paired dominating set, and a minimum total dominating set of a graph G are denoted by γ (G), γpr(G), and γt(G), respectively. For a positive integer k, a k-packing in G is a set S ⊆ V(G) such that for every pair of distinct vertices u and v in S, the distance between u and v is at least k + 1. The k-packing number is the order of a largest kpacking and...
Year 2021
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Secure Italian domination in graphs
PublicationAn Italian dominating function (IDF) on a graph G is a function f:V(G)→{0,1,2} such that for every vertex v with f(v)=0, the total weight of f assigned to the neighbours of v is at least two, i.e., ∑u∈NG(v)f(u)≥2. For any function f:V(G)→{0,1,2} and any pair of adjacent vertices with f(v)=0 and u with f(u)>0, the function fu→v is defined by fu→v(v)=1, fu→v(u)=f(u)−1 and fu→v(x)=f(x) whenever x∈V(G)∖{u,v}. A secure Italian dominating...
Year 2018
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Computational aspects of greedy partitioning of graphs
PublicationIn this paper we consider a variant of graph partitioning consisting in partitioning the vertex set of a graph into the minimum number of sets such that each of them induces a graph in hereditary class of graphs P (the problem is also known as P-coloring). We focus on the computational complexity of several problems related to greedy partitioning. In particular, we show that given a graph G and an integer k deciding if the greedy...
Year 2016
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An O ( n log n ) algorithm for finding edge span of cacti
PublicationLet G=(V,E) be a nonempty graph and xi be a function. In the paper we study the computational complexity of the problem of finding vertex colorings c of G such that: (1) |c(u)-c(v)|>=xi(uv) for each edge uv of E; (2) the edge span of c, i.e. max{|c(u)-c(v)|: uv belongs to E}, is minimal. We show that the problem is NP-hard for subcubic outerplanar graphs of a very simple structure (similar to cycles) and polynomially solvable for...
Year 2015
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Zero-visibility cops and robber and the pathwidth of a graph
PublicationWe examine the zero-visibility cops and robber graph searching model, which differs from the classical cops and robber game in one way: the robber is invisible. We show that this model is not monotonic. We show that the zero-visibility copnumber of a graph is bounded above by its pathwidth and cannot be bounded below by any nontrivial function of the pathwidth. As well, we define a monotonic version of this game and show that the...
Year 2007
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Packing [1,Delta]-factors in graphs of small degree
PublicationRozważano problem znalezienia w grafie zadanej liczby k krawędziowo rozłącznych [1,Delta]-faktorów, gdzie Delta oznacza stopień grafu. Problem ten można rozwiązać w czasie liniowym dla k=2, jest on jednak NP-trudny dla każdego k>=3. Pokazano, że wariant minimalizacjny problemu dla k=2 jest NP-trudny dla grafów planarnych podkubicznych, jednak w ogólności istnieje algorytm (42 Delta - 30) / (35 Delta - 21) - aproksymacyjny.
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