Scientists have transformed noisy, amplified lasers into ultra-stable quantum light beams with fluctuations below classical limits.

Chobani and New York State announced on Tuesday that the company would open a million-square-foot factory in Rome, N.Y., costing at least $1.2 billion and able to make one billion pounds of dairy ...

The lmfit Python library supports provides tools for non-linear least-squares minimization and curve fitting. The goal is to make these optimization algorithms more flexible, more comprehensible, and ...

The purpose of this study is to build a high accuracy thrust model under various small turbojet engine shaft speeds by using robust, ordinary, linear and nonlinear least squares estimation methods for ...

The least squares approach limits the distance between a function and the data points that the function explains. It is used in regression analysis, often in nonlinear regression modeling in which ...

Abstract: Least squares (LS) estimation is simple yet effective for parameter estimation. Most real-world problems are nonlinear. In practice, nonlinear LS problems are linearized first and then ...

The linear least squares method The nonlinear least squares method The least squares method refers to the fact that the regression function minimizes the sum of the squares of the variance from ...