The combinatorial core of the OVSF code assignment problem
that arises in UMTS is to assign some nodes of a complete binary
tree of height h (the code tree) to n simultaneous connections, such that
no two assigned nodes (codes) are on the same root-to-leaf path. Each
connection requires a code on a specified level. The code can change over
time as long as it is still on the same level. We consider the one-step code
assignment problem: Given an assignment, move the minimum number of
codes to serve a new request. Minn and Siu proposed the so-called DCAalgorithm
to solve the problem optimally. We show that DCA does not
always return an optimal solution, and that the problem is NP-hard.
We give an exact nO(h)-time algorithm, and a polynomial time greedy
algorithm that achieves approximation ratio Θ(h). Finally, we consider
the online code assignment problem for which we derive several results
c pgm to find redundant paths in a graph.Many fault-tolerant network algorithms rely on an underlying assumption that there are possibly distinct network paths between a source-destination pair. Given a directed graph as input, write a program that uses depth-first search to determine all such paths. Note that, these paths are not vertex-disjoint i.e., the vertices may repeat but they are all edge-disjoint i.e., no two paths have the same edges. The input is the adjacency matrix of a directed acyclic graph and a pair(s) of source and destination vertices and the output should be the number of such disjoint paths and the paths themselves on separate lines. In case of multiple paths the output should be in order of paths with minimum vertices first. In case of tie the vertex number should be taken in consideration for ordering.
You will recieve a Standard Grade for completion of this
Extra credit will be given for a more creative approach to the problem, either minimum amount
of code, an additional display of seating beyond just the boarding pass, etc
伸展樹(shù)，基本數(shù)據(jù)結(jié)構(gòu)，The tree is drawn in such a way that both of the edges down from a node are the same length. This length is the minimum such that the two subtrees are separated by at least two blanks.
This file is a function under matlab which allow to compute several statistical parameter of random signal such as variance, power, mean values, std, ...
Mastering the Requirements Process, Second Edition, sets out an industry-proven process for gathering and verifying requirements with an eye toward today s agile development environments. In this total update of the bestselling guide, the authors show how to discover precisely what the customer wants and needs while doing the minimum requirements work according to the project s level of agility.
This book’s primary goal is to help you prepare to take and pass Microsoft’s exam number
70-290, Managing and Maintaining a Microsoft Windows Server 2003 Environment. Our secondary
purpose in writing this book is to provide exam candidates with knowledge and
skills that go beyond the minimum requirements for passing the exam, and help to prepare
them to work in the real world of Microsoft computer networking.
Implementation of Edmonds Karp algorithm that calculates maxFlow of graph.
Input:
For each test case, the first line contains the number of vertices (n) and the number of arcs (m). Then, there exist m lines, one for each arc (source vertex, ending vertex and arc weight, separated by a space). The nodes are numbered from 1 to n. The node 1 and node n should be in different sets. There are no more than 30 arcs and 15 nodes. The arc weights vary between 1 and 1 000 000.
Output:
The output is a single line for each case, with the corresponding minimum size cut.
Example:
Input:
7 11
1 2 3
1 4 3
2 3 4
3 1 3
3 4 1
3 5 2
4 6 6
4 5 2
5 2 1
5 7 1
6 7 9
Output:
5
Analysis of GPS data frame
The design of the following four main data collection format: GPGGA (location information), GPRMC (Recommended Minimum location information), GPVTG (ground speed information), PGRME (forecast error message)
