Introduction to the fundamental principles of data structures and algorithms and their efficient implementation. Developing algorithmic thinking. Basic toolkit for the design and analysis of ...

I see it time and again in Google interviews or new-grad hires: The way data structures and algorithms ... As for a book, there is but one: Introduction to Algorithms by Cormen, Leiserson ...

Through these algorithms the student will be introduced to the analysis of algorithms -- i.e ... The module starts with a broad introduction to data structures and talks about some simple data ...

The design, implementation, and analysis of abstract data types, data structures and their algorithms. Topics include: data and procedural abstraction, amortized data structures, trees and search ...

Basic data structures: Heaps, and Binary Search Trees. Algorithm Design Approaches: Divide and Conquer including analysis using recurrences Greedy Algorithms Dynamic Programming Algorithms Algorithms ...

How to recognize and use array and list data structures in your Java programs. Which algorithms work best with different types of array and list data structures. Why some algorithms will work ...

22:544:613 Introduction to Data Structures and Algorithms or 16:198:512 - Introduction to Data Structures and Algorithms The MITA students are allowed to take any Ph.D. level course offered in the ...

The algorithms provide an exponential speed-up over the best currently known classical algorithms for topological data analysis ... to reveal the desired hidden structure that underlies the ...

An introduction to the analysis and implementation of algorithms and data structures including linear data structures, trees, graphs, hash tables, searching algorithms, sorting algorithms, ...