A new approach to cell-level analog circuit synthesis is presented. This approach formulates analog synthesis as a Mixed-Integer Nonlinear Programming (MINLP) problem in order to allow simultaneous ...

In the aspect of information security, one of the most desirable characteristics a given S-box should possess is a high nonlinearity. In this paper, we project the nonlinearity optimization problem to ...

PaPILO, a C++14-based software package, provides parallel presolve routines for (mixed integer) linear programming problems. The routines are implemented using templates which allows switching to ...

Since Java 21, wrapper classes have played an increasingly sophisticated role in Java’s type system. Here’s everything you ...

Binary Integer Programming (BIP): An optimisation framework where variables are restricted to binary values, commonly used to model placement problems.

When enterprise adoption requires server farms full of energy-hungry GPUs just to run basic AI services, we face both an economic and ecological crisis.

Welcome to what is currently one of the fastest academically developed solvers for mixed integer programming (MIP) and mixed integer nonlinear programming (MINLP). In addition, SCIP provides a highly ...

The 1990s were a boom time for new programming languages. The rise of the internet and the increasing complexity of software ...

LeetCode isn’t a sprint; it’s a marathon. You won’t become a coding master overnight. It takes time, effort, and, most ...