It covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) .

Such algorithms are often quite efficient and provide useful bounds on the optimal solutions. The learning will be supported by instructor provided notes, readings from textbooks and assignments.

COMP_SCI 396, 496: Advanced Algorithm Design through the Lens of Competitive Programming VIEW ALL COURSE TIMES ... This course examines such topics as greedy algorithms, dynamic programming, graph ...

Sorting algorithms and other hand-coded fiddly stuff. Applications you write today need to sort data, but all you do is call a sort routine. But as late as the 1980s, programmers were having flame ...

Intended primarily to train students for the International Collegiate Programming Contest (ICPC), this course covers data structures, algorithms, and programming techniques that apply to typical ...

Algorithms and Programming. This information is for the 2017/18 session. Teacher responsible. Dr Paul Duetting. Availability. This course is available on the BSc in Business Mathematics and Statistics ...

The graph below shows the total number of publications each year in Map Labeling Algorithms and Techniques. References [1] Smoothness preserving layout for dynamic labels by hybrid optimization .

Esther Schindlerhas been writing about technology since 1992, and she started programming in 1973. She won’t admit how many of the techniques in this story she used, but she still has a few ...