Linear least-squares solves min||C*x - d||², possibly with bounds or linear constraints. See Linear Least Squares.

Nonlinear least-squares solves min(∑||F(x_i) – y_i||²), where F(x_i) is a nonlinear function and y_i is data. See Nonlinear Least Squares (Curve Fitting).