Significant advances in programming have been made over the last thirty years, with technologies such as structured programming, object-oriented programming, Booch object-oriented design, etc. Even ...

The paper solves the stochastic inverse optimal problem. Dynamic programming is used to transform the original problem into a differential equation. Such an equation is well-defined (with probability ...

Assignments will include conceptual multiple-choice questions as well as problem solving assignments that will involve programming and testing algorithms. Learning Outcomes Formulate linear and ...

It also fits into the formal paradigm presented in goal programming. In goal programming, the objective functions typically take on the role of driving a linear function of the structural variables to ...

Languages to solve problems Programming languages are designed to either solve a specific class of problems or support a specific methodology, each encouraging students to look at a problem from a ...

This paper describes the development of a mixed-integer linear programming (MILP) model for the standard N-job, M-machine flowshop sequencing problem. Based on an earlier all-integer model developed ...

Bjarne Stroustrup, the inventor of the C++ programming language, defends his legacy and examines what’s wrong with most software code.

My heyday in programming was about five years ago, and I’ve really let my skills fade. I started finding myself making excuses for my lack of ability. I’d tackle harder ways to work aro… ...

Think math and science are the best subjects for kids' minds? There's one that teaches even more, and most US schools still ...