Whenever possible, use linear functions instead of nonlinear functions. PROC NLP will reward you with faster and more accurate solutions. Most optimization algorithms are based on quadratic ...

Formulate linear and integer programming problems for solving commonly encountered optimization problems. Understand how approximation algorithms compute solutions that are guaranteed to be within ...

Multiplayer: A multiplayer algorithm uses many simultaneous TS points to direct the next player move. Multiplayer algorithms (particle swarm, leapfrogging, differential evolution) broadly explore the ...

We give a branch-and-cut algorithm for solving linear programs (LPs) with continuous separable piecewise-linear cost functions (PLFs). Models for PLFs use continuous variables in special-ordered sets ...

Successive Linear Programming (SLP) algorithms solve nonlinear optimization problems via a sequence of linear programs. They have been widely used, particularly in the oil and chemical industries, ...

In an era where autonomous systems demand pinpoint accuracy, navigation algorithms face a tough trade-off between precision and speed.

Quantum computers of the future hold promise for solving complex problems more quickly than ordinary computers. For example, they can factor large numbers exponentially faster than classical ...