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The top-down approach begins with a high-level view of the business needs and strategic objectives, then gradually breaks down this view into detailed data structures and components ... consists of ...
and process data efficiently using sophisticated data structures and algorithms Design algorithms and analyze their complexity in terms of running time and space usage Create applications that are ...
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 ...
"An important challenge in the field of DNA nanotechnology is to design any desirable structures in a top-down manner, without much human input concerning details of DNA strand folding paths," Yan ...
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 ...
Basic data structures: Heaps, and Binary Search Trees. Algorithm Design Approaches: Divide and Conquer including analysis using recurrences Greedy Algorithms Dynamic Programming Algorithms Algorithms ...
Discusses efficient sorting (quicksort and heapsort) and experimental algorithm analysis. Examines several design issues, including selection of data structures based on operations to be optimized, ...
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