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This is a graduate course on algorithms. We will focus on studying basic algorithms at a finer level of detail and more advanced algorithms and data structures “Concrete” Mathematics: Solving ...
For example, if a program is using a data structure such as a list, but this data structure only allows new items to be added at one end, the resulting store will comprise data that is not ordered.
Developing algorithmic thinking. Basic toolkit for the design and analysis of algorithms: Running time, Recurrence relations, Big-O notation, Correctness, Finite induction, Loop invariants. Tour of ...
Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: Mathematical Background: We expect that the ...
It’s a very common programming task to search a singly linked list for specific data items. While the Linear Search algorithm (introduced in Part 2) is most frequently used for this type of task ...
Learn when and how to use different data structures and their algorithms in your own code. This is harder as a student, as the problem assignments you'll work through just won't impart this knowledge.