The divergence of ASIC designs makes it difficult to run commonly used modern sequencing analysis pipelines due to software ...

This repository contains the implementation of an optimized university timetabling system using Integer Linear Programming (ILP ... approaches by combining ILP with heuristic/metaheuristic algorithms ...

Topics include: Run time analysis, divide-and-conquer algorithms, dynamic programming algorithms, network flow algorithms, linear and integer programming, large-scale search algorithms and heuristics, ...

Most of the existing routing algorithms are designed for two-dimensional networks ... Therefore, in this paper, a mixed integer linear programming is formulated as an optimal WSN topology control ...

From streamlining code efficiency to aiding in debugging processes, AI has positioned itself as an indispensable tool for programmers. Yet, a perennial challenge persists: How do we enhance AI-driven ...

We formulate this problem as a nonlinear Generalized Disjunctive Program (GDP), which, following transformation, results in a large-scale mixed-integer nonlinear programming (MINLP) problem. This ...

The designs using MRCs and EBDL can be verified and tested using the Boolean satisfiability of the electronic design automation algorithm. Notably, verification and debugging are challenging in ...

Our goal is to work together to document and model beautiful, helpful and interesting algorithms using code ... yet make sure that our code follows the latest programming guidelines.

Two-stage problem of stochastic convex programming with fuzzy probability distribution is studied in this paper. Multicut L-shaped algorithm is proposed to solve the problem based on the fuzzy cutting ...