Quantum computer-assisted global optimization in geophysics illustrated with stack-power maximization for refraction residual statics estimation

Much of recent progress in geophysics can be attributed to the adaptation of heterogeneous high-performance computing architectures. It is projected that the next major leap in many areas of science, and hence hopefully in geophysics too, will be due to the emergence of quantum computers. Finding a right combination of hardware, algorithms,...

Scheduling methods for modular shipbuilding

In the field of shipbuilding, there is a growing demand for faster and more efficient production processes, along with a need for swift adoption of new technologies. Modular production emerges as a potential solution, involving the development of a product family with a base platform and various modules. Instead of designing and producing each...

Optimal Ship Fuel Selection under Life Cycle Uncertainty

Shipowners need to prepare for low-emission fuel alternatives to meet the IMO 2050 goals. This is a complex problem due to conflicting objectives and a high degree of uncertainty. To help navigate this problem, this paper investigates how methods that take uncertainty into account, like robust optimization and stochastic optimization, could be...

Linear Time-Varying Parameter Estimation: Maximum A Posteriori Approach via Semidefinite Programming

We study the problem of identifying a linear time-varying output map from measurements and linear time-varying system states, which are perturbed with Gaussian observation noise and process uncertainty, respectively. Employing a stochastic model as prior knowledge for the parameters of the unknown output map, we reconstruct their estimates...