Home
Add
Get on Google Play
Home
> Edit
Add/Update Thesis
Title*
Author's Name*
Supervisor's Name
Abstract
The rapid growth in fields of computational biology, data mining and combinatorial chemistry results in an increased demand of combinatorial algorithms which produce exhaustive lists of combinatorial objects especially those objects which are symmetric under some equivalence relation. In this thesis we develop efficient algorithms for generation of bracelets with fixed density, bracelets with fixed content, and non- isomorphic unicyclic graphs. All of the above mentioned algorithms list only one representative object from each equivalence class. A bracelet is said to be of fixed density, if number of occurrences of the symbol 0 is fixed. The algorithm for generation of bracelets with fixed density generates a complete set of bracelets with fixed density of arbitrary base in lexicographic order. A simple mapping technique is used to prove that our algorithm works in constant amortized time. Bracelets with fixed content are those in which number of occurrences of each symbol is fixed. We devise an efficient algorithm to list bracelets with fixed content in reverse lexicographic order. Again, by using an injective mapping we prove that the algorithm works in constant amortized time with the condition that number of occurrences of the largest symbol is maximum. Our analysis also gives a simpler alternate proof for the original bracelet algorithm presented in “Generating bracelets in constant amortized time” by J. Sawada. Moreover, an enumeration formula for bracelets with fixed content is obtained. Listing of non-isomorphic graphs is known to be computationally very hard. However, when we restrict the graphs to have exactly one cycle, the problem can be efficiently solved in constant amortized time. In this thesis, we give a CAT algorithm to list all unlabeled non-isomorphic unicyclic graphs.
Subject/Specialization
Language
Program
Faculty/Department's Name
Institute Name
Univeristy Type
Public
Private
Campus (if any)
Institute Affiliation Inforamtion (if any)
City where institute is located
Province
Country
Degree Starting Year
Degree Completion Year
Year of Viva Voce Exam
Thesis Completion Year
Thesis Status
Completed
Incomplete
Number of Pages
Urdu Keywords
English Keywords
Link
Select Category
Religious Studies
Social Sciences & Humanities
Science
Technology
Any other inforamtion you want to share such as Table of Contents, Conclusion.
Your email address*