This study proposes a comprehensive strategy to optimize the operation of real-world gas pipeline networks and support decision-making. The goal is to improve environmental sustainability by ...

The objective of the present experiment was to compare non-linear programming (maximum profit) with linear programming (minimum cost) for commercial layer feed formulation in terms of their economic ...

Learn what is Linear Regression Cost Function in Machine Learning and how it is used. Linear Regression Cost function in Machine Learning is "error" representation between actual value and model ...

A revision of an earlier DI using three-discrete solution interface a PWM to switching regulator and a method to decrease settling time.

A community detection algorithm based on optimizing the Sieve objective function using IBM ILOG CPLEX to solve an Integer Linear Program.

An iterative algorithm is proposed for nonlinearly constrained optimization calculations when there are no derivatives. Each iteration forms linear approximations to the objective and constraint ...

CNN Max Launches Live Programming That Looks a Lot Like Linear TV Schedule The 24/7 streaming news offering will include a mix of original programming and a livestream of CNN US and CNN International ...

Spread the loveIn programming, a function is a set of instructions that perform a specific task. It is a block of code that can be easily reused, making programming more efficient and modular.

Learn how to handle uncertainty and randomness in linear programming models using four common techniques: robust optimization, stochastic programming, randomized rounding, and column generation.

Keywords: diet optimization, goal programming, bi-objective, nutritional adequacy, linear programming Citation: Koenen MF, Balvert M and Fleuren H (2022) Bi-objective goal programming for balancing ...