My graduate studies included learning about constraint-based optimization algorithms (such as linear programming) and ...

Forbes contributors publish independent expert analyses and insights. author of Chained to the Desk in a Hybrid World: A Guide to Balance. There’s a lot of hidden action taking place under the radar ...

Abstract: In the linear programming approach to approximate dynamic programming, one tries to solve a certain linear program - the ALP -, which has a relatively small number K of variables but an ...

Focusing on a cross-border perspective, this paper identifies four key binding constraints that hinder firms’ ability to innovate and scale up within the EU single market—fragmented regulations, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. There is a need for design strategies that can support rapid and widespread deployment ...

The standard view of housing markets holds that differences in the flexibility of local housing supply shaped by factors like geography and regulation—explain differences in how house price and ...

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), ...

Fifteen years after his death, David Blackwell’s name will be on every tech nerd’s lips in 2025. Nvidia, a semiconductor giant, has named its latest superchip after the mathematician and game theorist ...

Integer Linear Programming (ILP) is the foundation of combinatorial optimization, which is extensively applied across numerous industries to resolve challenging decision-making issues. Under a set of ...

Over the past few weeks, we've been discussing programming language popularity here on ZDNET. Most recently, I aggregated data from nine different rankings to produce the ZDNET Index of Programming ...