Which algorithms work best with different types of array and list data structures. Why some algorithms will work better than others for your specific use case. How to use time and space complexity ...

One computer scientist’s “stunning” proof is the first progress in 50 years on one of the most famous questions in computer ...

Design algorithms and analyze their complexity in terms of running time and space usage; Create applications that are supported by highly efficient algorithms and data structures for the task at hand; ...

I see it time and again in Google interviews or new-grad hires: The way data structures and algorithms — among the most important subjects in a proper computer science curriculum — are learnt ...

Recall that O(1) is pronounced “Big Oh of 1.” (See Part 1 for a reminder of how time and space complexity measurements are used to evaluate data structures.) Inserting nodes into a singly ...

Development of more sophisticated ideas in data type and structure, ... support. Data abstraction. Controlled access structures. Trees, lists, stacks, queues, graphs, arrays, hash tables. Algorithm ...

Basic toolkit for the design and analysis of algorithms: Running time, Recurrence relations, Big-O notation, Correctness, Finite induction, Loop invariants. Tour of the most important data structures, ...

Specialization: Data Science Foundations: Data Structures and Algorithms Instructor: Sriram Sankaranarayanan, Assistant Professor Prior knowledge needed: Mathematical Background: We expect that the ...