Using the modified Kerre's method, we propose a new variable neighborhood search algorithm for solving fuzzy number linear programming problems. In our algorithm, the local search is defined based on ...

While linear programming (LP) decoding provides more flexibility for finite-length performance analysis than iterative message-passing (IMP) decoding, it is computationally more complex to implement ...

Problem solving with C++ : the object of programming by Savitch, Walter J., 1943- Publication date 1999 Topics C++ (Computer program language), C++ (Langage de programmation), C++, C++ (PROGRAMMING ...

Keywords: XAI, linear programming, attributions, neural encodings, machine learning Citation: Busch FP, Zečević M, Kersting K and Dhami DS (2025) Elucidating linear programs by neural encodings.

SCIP: Solving Constraint Integer Programs Welcome to what is currently one of the fastest academically developed solvers for mixed integer programming (MIP) and mixed integer nonlinear programming ...

Thus HiGHS can solve linear programming (LP) problems, convex quadratic programming (QP) problems, and mixed integer programming (MIP) problems. It is mainly written in C++, but also has some C. It ...

The objective of the present experiment was to compare non-linear programming (maximum profit) with linear programming (minimum cost) for commercial layer feed formulation in terms of their economic ...