Abstract: In this paper, a design framework based on integer linear programming is proposed for optimizing sparse array structures. We resort to binary vectors to formulate the design problem for ...

Combinatorial optimization and integer programming form the backbone of decision-making models in which discrete choices must be made under constraints. At its core, integer programming specialises in ...

ABSTRACT: This article examines some of the properties of quasi-Fejer sequences when used in quasi-gradiental techniques as an alternative to stochastic search techniques for optimizing unconstrained ...

Recently, a friend asked me a question that's been floating around every boardroom and business school: "With AI writing code, does programming still matter?" It's a fair question. Generative AI can ...

Abstract: In this demo, we introduce a new Python library for solving mixed-integer linear programming (MILP) problems based on the hybrid quantum-classical multi-cuts Benders’ decomposition (HQC-Bend ...

HiGHS is a high performance serial and parallel solver for large scale sparse linear optimization problems of the form $$ \min \quad \dfrac{1}{2}x^TQx + c^Tx \qquad \textrm{s.t.}~ \quad L \leq Ax \leq ...

This paper presents a novel approach to the joint optimization of job scheduling and data allocation in grid computing environments. We formulate this joint optimization problem as a mixed integer ...

Perl reached the top 10 after rising in popularity over the summer for reasons that aren’t immediately clear. Generative AI can be a self-fulfilling prophecy: Because gen AI scans vast amounts of data ...

Prior to SageMath 9.1, CPLEXBackend was available as part of the SageMath source tree, from which it would be built as an "optional extension" if the proprietary ...

On June 11, 2025, the Python core team released Python 3.13.5, the fifth maintenance update to the 3.13 line. This release is not about flashy new language features, instead, it addresses some ...