Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

Then, the model is discretized and turned into a multi-step decision optimization problem. All the nonlinear constraints are approximated using piecewise affine (PWA) functions, and the trajectory ...

This study proposes a mixed-integer programming approach to minimize such switches while ensuring water quality and satisfying drinking water tank capacity constraints. Considering daily operations, ...

This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary data ...

Creating accurate data models describing the dynamics of physical phenomena in time and space is important in optimized control and decision making. Models highlight various trends and patterns.

How Linear Programming Software Work LP software incorporates frameworks that are dependent on conventional linear programming algorithms such as simplex and support architecture. These, plus ...

Keywords: light pollution control, TOPSIS evaluation, single factor analysis of variance, non-linear programming models, optimization algorithms, SLSQP method Citation: Zhou Z-H, Cao H-L, Feng T-Y and ...