Mixed-Integer Nonlinear Programming (MINLP): An optimisation framework that integrates discrete variables with continuous nonlinear functions to model complex decision-making problems.

Nonlinear programming algorithms as the ... They are suitable and fit the most optimization models more precisely and accurately than their linear optimization counterparts. — That's why. There are ...

CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained ...

In this paper, we study the two-stage stochastic linear semi-infinite programming with recourse to handle uncertainty in data defining (deterministic) linear semi-infinite programming. We develop and ...

This paper is concerned with distributed time-varying optimization problems for heterogeneous high-order linear multiagent systems (MASs). Compared to the time-invariant case, the outputs of the ...

There is a really underutilized planning tool in our digital age — the linear calendar. While most of us are stuck toggling ...

Two RIKEN researchers have used a scheme for simplifying data to mimic how the brain of a fruit fly reduces the complexity of ...

While the answer of TypeScript’s creators is “yes,” academic researchers who work on similar programming languages tend to loudly assert “No, run-time checks should prevent such misapplications.” ...

On this week's episode of the Marie Claire podcast "Nice Talk," Perez opens up about her journey to hosting "Let's Get Dressed" and why she is an "advocate" for "non-linear" paths ...

Self-powered catalytic micromotors that swim through a fluid by harvesting energy from their environment have received increasing attention because of their potential applications in nanomachinery, ...