We will learn some divide and conquer algorithms for Integer Multiplication (Karatsuba’s Algorithm), Matrix Multiplication (Strassen’s Algorithm), Fast Fourier Transforms (FFTs), and Finding Closest ...

Duration: 4 hours. This module will cover integer linear programming and its use in solving NP-hard (combinatorial optimization) problems. We will cover some examples of what integer linear ...

In unsupervised learning, the algorithm goes through the data itself and tries to come up with meaningful results.The result might be, for example, a set of clusters of data points that could be ...

COMP_SCI 396, 496: Advanced Algorithm Design through the Lens of ... examines such topics as greedy algorithms, dynamic programming, graph algorithms, string processing, and algorithms for ...

Example sub-structures are shown in the gray boxes solely as examples. (b) The dynamic programming algorithm in operation, showing the matrix S(i,j) for a sequence GGGAAAUCC after initialization ...

1 Describe key models of computation and associated programming language paradigms based on them.; 2 Evaluate the advantages and disadvantages of various programming languages for different ...

Programming safety into self-driving cars: Better AI algorithms for semi-autonomous vehicles. ScienceDaily . Retrieved June 2, 2025 from www.sciencedaily.com / releases / 2015 / 02 / 150204111952.htm ...