Learn what a linear complexity pattern is, how to recognize it, and how to measure it using the Big O notation. See examples of linear algorithms in different domains and languages.

MATH 146 is an advanced-level version of MATH 136. Topics includes vector spaces, linear dependence and span, bases and dimension, linear transformations, rank, change of coordinate matrices, and ...

The fuzzy c-means clustering is a well-known unsupervised algorithm and has been widely used in various pattern recognition applications. As the amount of data increase, however, the basic serial ...

MATH 146 is an advanced-level version of MATH 136. Topics includes vector spaces, linear dependence and span, bases and dimension, linear transformations, rank, change of coordinate matrices, and ...