The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better. In 1939, upon arriving late to his statistics course at the ...

In this study, we propose an exact method for optimizing a linear function over the efficient set of a multi-objective transportation problem (MOTP). This type of problem arises when a decision maker ...

Wuppertal, Germany, July 24, 2025 - Aicuris Anti-infective Cures AG today announced the completion of patient enrollment in its pivotal Phase 3 trial, PRIOH-1, evaluating pritelivir for the treatment ...

The objective of the 3D-SCALO problem is to assign the given components to optimal mounting surfaces and position them at the best locations, while satisfying the requirements for (1) heat dissipation ...

Pieter Sonneveld, MD, PhD, chair of the Erasmus MC Cancer Institute, discussed the findings of a study modeling long-term progression-free survival (PFS) in patients with multiple myeloma (MM) treated ...

Abstract: In this article, we propose a model predictive control (MPC) algorithm using sequential convex programming (SCP) to address concave inequality constraints. Based on traditional SCP, we ...

ABSTRACT: This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary ...

Department of Physics, National Dong Hwa University, Shoufeng, Hualien 97401, Taiwan Department of Nuclear Physics, University of Science, Vietnam National University − Ho Chi Minh City, Ho Chi Minh ...

How to solve linear programming and quadratic programming with inequality constraint only? For LP, I tried to use OSQP and pass the objective as (None, -c), the equality constraint as (None, None), ...