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Blazingminds is one of the most recommended Trees & Graphs training institutes in Gurgaon. We provide complete Trees & Graphs training in Gurgaon. Our Trees & Graphs course offers hands on practical knowledge of tools used in Trees & Graphs. Our Trees & Graphs training course will include working on live projects and will ensure the job with help of the advanced level Trees & Graphs training courses. In our Blazingminds institute, we have well-experienced faculties who provide the best Trees & Graphs training in Gurgaon.
Coming Batch StartDecember 7, 2017
No. of Students10 availabilities
IncludesCertificate & Practice Material
About the course
In computer science, a tree is a widely used abstract data type (ADT). A tree data structure can be defined recursively (locally) as a collection of nodes (starting at a root node), where each node is a data structure consisting of a value, together with a list of references to nodes (the "children"), with the constraints that no reference is duplicated, and none points to the root. The graphs are very useful and fairly common data structures. They are used to describe a wide variety of relationships between objects and in practice can be related to almost everything.
What you will learn
- An Overview of Data Structure with C langauge
- Overview of Trees in c
- Overview of Graphs in c
- What is difference between Trees and Graphs?
- Implementation Trees and Graphs in C.
More Course Information
In order to understand the Data Structure , The sessions are designed to be a stand-alone introduction to Data structure. The knowledge of Data Structure is very helpful in other programming languag We provide best data structure courses in Gurgaon. BMLC is top data structure institutes in Gurgaon.
Introduction to trees, binary trees, representation and traversal of trees
More about Trees
Operations on binary trees, types of binary trees, threaded binary trees, B Trees, . Application of trees.
Introduction, terminology, ‘set, linked and matrix representation
More about Graphs
operations on graphs, Applications of graphs.