Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

Nicolò Bernardini, Edoardo Ciccarelli, Nicola Baresi, Roberto Armellin (2023)SUCCESSIVE CONVEX PROGRAMMING FOR HIGH-ORDER GUIDANCE AND NAVIGATION OF SATELLITES, In: Proceedings of the 2023 AAS/AIAA ...

Parts of the brain are "rewired" when people learn computer programming, according to new research. Scientists watched university students’ brains as they learned to code. The team used functional ...

Note that the optimal solution to Gonzaga’s problem denoted by (G) is [a, 0] T with an optimal value of the objective function equal to a, a ≥ 10. From the infeasible starting point e = [1, 1] T, the ...

Abstract: In this article, the data-driven optimal control problem is addressed for discrete-time linear periodic systems with unknown system dynamics. To reduce the number of iterations required by ...

Genomics is playing an important role in transforming healthcare. Genetic data, however, is being produced at a rate that far outpaces Moore’s Law. Many efforts have been made to accelerate genomics ...

The film discusses a programming concept involving inputs and outputs, specifically focusing on ensuring accuracy in calculations related to the circumference of a square. The speaker emphasizes the ...

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 ...