شماره ركورد كنفرانس :
3753
عنوان مقاله :
Efficient Computation via Delayed Reorganization
عنوان به زبان ديگر :
Efficient Computation via Delayed Reorganization
پديدآورندگان :
Mahdipour Elham Yazd University , Ghasemzadeh Mohammad Yazd University
كليدواژه :
Data structure , Delayed Reorganization , Amortized time , Routing Algorithms.
عنوان كنفرانس :
دومين كنفرانس ملي تركيبيات رمزنگاري و محاسبات
چكيده فارسي :
The main mission of computer science is to invent new data structures and algorithms which can
solve some concerned problems effectively. Insertion and deletion are the operations defined almost on
every data structure. Effectiveness of these two main operations has a high impact on performance of the
data structure and its applications. In most data structures, when insertion is performed, the reorganization
of that data structure is also carried out simultaneously. In this paper, we introduce a data structure that
unlike most data structures, insertion is performed easily with the lowest cost, and instead, reorganization
is performed when a data item is being deleted. This property lets most of the operations on this data
structure could be accomplished in ) 1( O amortized time. This characteristic has made it to become the
most suitable data structure in solving some especially important problems like issues related to satellite
networks, leader election, routing algorithms, data segmentation and mobile networks
چكيده لاتين :
The main mission of computer science is to invent new data structures and algorithms which can
solve some concerned problems effectively. Insertion and deletion are the operations defined almost on
every data structure. Effectiveness of these two main operations has a high impact on performance of the
data structure and its applications. In most data structures, when insertion is performed, the reorganization
of that data structure is also carried out simultaneously. In this paper, we introduce a data structure that
unlike most data structures, insertion is performed easily with the lowest cost, and instead, reorganization
is performed when a data item is being deleted. This property lets most of the operations on this data
structure could be accomplished in ) 1( O amortized time. This characteristic has made it to become the
most suitable data structure in solving some especially important problems like issues related to satellite
networks, leader election, routing algorithms, data segmentation and mobile networks