Spanning Trees and Spanning Eulerian Subgraphs with Small Degrees. II

Let $G$ be a connected graph with $X\subseteq V(G)$ and with the spanning forest $F$. Let $\lambda\in [0,1]$ be a real number and let $\eta:X\rightarrow (\lambda,\infty)$ be a real function. In this paper, we show that if for all $S\subseteq X$, $\omega(G\setminus S)\le\sum_{v\in S}\big(\eta(v)-2\big)+2-\lambda(e_G(S)+1)$, then $G$ has a spanning tree $T$ containing $F$ such that for each vertex $v\in X$, $d_T(v)\le \lceil\eta(v)-\lambda\rceil+\max\{0,d_F(v)-1\}$, where $\omega(G\setminus S)$ denotes the number of components of $G\setminus S$ and $e_G(S)$ denotes the number of edges of $G$ with both ends in $S$. This is an improvement of several results and the condition is best possible. Next, we also investigate an extension for this result and deduce that every $k$-edge-connected graph $G$ has a spanning subgraph $H$ containing $m$ edge-disjoint spanning trees such that for each vertex $v$, $d_H(v)\le \big\lceil \frac{m}{k}(d_G(v)-2m)\big\rceil+2m$, where $k\ge 2m$; also if $G$ contains $k$ edge-disjoint spanning trees, then $H$ can be found such that for each vertex $v$, $d_H(v)\le \big\lceil \frac{m}{k}(d_G(v)-m)\big\rceil+m$, where $k\ge m$. Finally, we show that strongly $2$-tough graphs, including $(3+1/2)$-tough graphs of order at least three, have spanning Eulerian subgraphs whose degrees lie in the set $\{2,4\}$. In addition, we show that every $1$-tough graph has spanning closed walk meeting each vertex at most $2$ times and prove a long-standing conjecture due to Jackson and Wormald (1990).Comment: 46 pages, Keywords: Spanning tree; spanning Eulerian; spanning closed walk; connected factor; toughness; total exces

Analisis Efisiensi Teknis Penggunaan Faktor Produksi Pada Usahatani Kelapa Sawit Rakyat Di Kecamatan Kumpeh Ulu Kabupaten Muaro Jambi

The analytical method used in this research is descriptive analysis to see the first objective. Meanwhile, to see the second objective, inferential analysis was used. R2 test, F test and T test. Furthermore, to see the third objective, the Cobb - Douglas Production Function equation was used with Frontier regression approach. Based on the results of the research that has been carried out, the following conclusions can be drawn: 1. Farmers operate oil palm farming with an average production of 36,520 Kg/Year or productivity of 12,233 Kg/Ha/Year, land area of ​​2.94 Ha, number of trees 119 Trees /Ha with an equilateral triangle cropping pattern, labor 38.94 HKO/Ha, fertilizer 225.55 Kg/Ha, pesticide 2.72 Liter/Ha and seeds using tenera and dura seeds. 2. The use of land production factors, number of trees, labor, fertilizers, pesticides and seeds simultaneously significantly affects the production of oil palm with an Adjust R-Squared value of 0.96. Partially for the land production factor, the number of trees, labor, fertilizers, and pesticides have a significant effect on production, while the seed factor has no significant effect on production. 3. The level of technical efficiency of oil palm farmers in the research area obtained a minimum value of 0.70 and a maximum value of 0.99 with an average of 0.88 < 1, which means that the level of technical efficiency has not been achieved. Therefore, oil palm farming in Kumpeh Ulu District is not technically efficient

Configurations with few crossings in topological graphs

AbstractIn this paper we study the problem of computing subgraphs of a certain configuration in a given topological graph G such that the number of crossings in the subgraph is minimum. The configurations that we consider are spanning trees, s–t paths, cycles, matchings, and κ-factors for κ∈{1,2}. We show that it is NP-hard to approximate the minimum number of crossings for these configurations within a factor of k1−ε for any ε>0, where k is the number of crossings in G.We then give a simple fixed-parameter algorithm that tests in O⋆(2k) time whether G has a crossing-free configuration for any of the above, where the O⋆-notation neglects polynomial terms. For some configurations we have faster algorithms. The respective running times are O⋆(1.9999992k) for spanning trees and O⋆((3)k) for s-t paths and cycles. For spanning trees we also have an O⋆(1.968k)-time Monte-Carlo algorithm. Each O⋆(βk)-time decision algorithm can be turned into an O⋆((β+1)k)-time optimization algorithm that computes a configuration with the minimum number of crossings

Randomized Routing on Fat-trees

Fat-trees are a class of routing networks for hardware-efficient parallel computation. This paper presents a randomized algorithm for routing messages on a fat-tree. The quality of the algorithm is measured in terms of the load factor of a set of messages to be routed, which is a lower bound on the time required to deliver the messages. We show that if a set of messages has load factor lambda on a fat-tree with n processors, the number of delivery cycles (routing attempts) that the algorithm requires is O(lambda+lgnlglgn) with probability 1-O(1/n). The best previous bound was O(lambdalgn) for the off-line problem in which the set of messages is known in advance. In the context of a VLSI model that equates hardware cost with physical volume, the routing algorithm can be used to demonstrate that fat-trees are universal routing networks. Specifically, we prove that any routing network can be efficiently simulated by a fat-tree of comparable hardware cost

Randomized Routing on Fat-Trees

Fat-trees are a class of routing networks for hardware-efficient parallel computation. This paper presents a randomized algorithm for routing messages on a fat-tree. The quality of the algorithm is measured in terms of the load factor of a set of messages to be routed, which is a lower bound on the time required to deliver the messages. We show that if a set of messages has load factor lambda on a fat-tree with n processors, the number of delivery cycles (routing attempts) that the algorithm requires is O(lambda + lg n lg lg n) with probability 1-O(1/n). The best previous bound was O(lambda lg n) for the offline problem in which the set of messages is known in advance. In the context of a VLSI model that equates hardware cost with physical volume, the routing algorithm can be used to demonstrate that fat-trees are universal routing networks. Specifically, we prove that any routing network can be efficiently simulated by a fat-tree of comparable hardware cost