Several factors imply an increase in the use of nonlinear optimization models. We face serious problems of declining productivity and increasingly scarce, expensive raw materials. Computers are ...

The optimisation of gas networks has emerged as a critical field in energy systems engineering, incorporating advanced nonlinear programming techniques to address the increasing complexity of gas ...

Starting from a number of motivating and abundant applications in $\S2$, including control of robots, eigenvalue computations, mechanical stress of materials, and statistical design, the authors ...

Machine-learning application makes advanced chemical predictions easier and faster, no deep programming skills required by Danielle Randall Doughty, Massachusetts Institute of Technology ...