The implication and taxonomy of linear and nonlinear data structure

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dc.contributor.authorAli, Hafiza Aqsa
dc.date.accessioned2016-04-08T08:15:50Z
dc.date.available2016-04-08T08:15:50Z
dc.date.issued2015
dc.descriptionSupervised by: Dr. Muhammad Shoaib Farooqen_US
dc.description.abstractThe Linear and nonlinear Data Structures are core part of computer science or curriculum. Linear data structure covered all types of consecutive indexed and reference wise ordinal data structures. For example, array, linked list and linear collection of abstract data types. We cover binary tree in nonlinear data structure. All these topics were covered in most of CS related core courses and included in data structure text book. Major issue is that what topic is to be covered and what subtopics is to be taught by undergraduate students. This study propose classification of topics and subtopics in linear and nonlinear data structure. Major contribution of this research is to figure out all variants of linear and nonlinear data structure topics and provide standard taxonomies. Each dimension has explained in terms of structured, object oriented, memory diagrams, applications, implementation and complexity and have also discussed its application using design patterns. It will facilitate students to learn and visualize more about linear and nonlinear data structure concepts and for teachers to revise their course outlines, implement standard code and visualize memory diagrams.en_US
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/1698
dc.publisherUNIVERSITY OF MANAGEMENT AND TECHNOLOGYen_US
dc.subjectMA Thesisen_US
dc.subjectLinear and nonlinear data structuresen_US
dc.subjectTaxonomyen_US
dc.subjectData structuresen_US
dc.titleThe implication and taxonomy of linear and nonlinear data structureen_US
dc.typeThesisen_US
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