Meanings of optimization problem in английском

This approach reduces the non-linear, non-convex optimization problem to a simple linear equation system.

We follow Murray's hypothesis of the minimum work principle to formulate the problem as an optimization problem.

Finally, a constrained optimization problem is solved over this basis to find a clinically acceptable IMRT plan.

RDA integrates linear classification and beamspace transformation into a unified framework by formulating a constrained optimization problem.

We formulate the resolution of complex infections into their constituent strains as an optimization problem, and show its NP-completeness.

For example, finding the sequence of stock purchases and sales that maximizes your total returns is an optimization problem.

It's basically an optimization problem: weighing different variables and crunching the numbers to find the optimal combination of those factors.

Uber is in some respects a giant optimization problem, using machine learning to figure out where riders will need cars.

Then we briefly introduce epi-convergence theory of variational analysis and transform the physical mapping problem into a constrained stochastic optimization problem.

To achieve these goals, a fusion penalty is introduced and the resulting optimization problem solved by an alternating block optimization algorithm.

In previous work, a highly parallelized, matrix-free Gauss-Newton reconstruction algorithm was presented that can solve the large-scale optimization problem for high-resolution scans.

We formulate the index embedding as an optimization problem from the perspective of neighborhood sharing and solve it with an alternating index update scheme.

Perhaps, then, everything that exists is the progressive solution of an overarching optimization problem, and the Master Algorithm follows from the statement of that problem.

Methods of formulation and solution of the waveform optimization problem are briefly described for minimization of root mean squared current and minimization of waveform moments.

Moreover, we propose a general optimization framework named re-weighted (RW) framework to solve a general optimization problem and generalize two sub-frameworks upon it.

Third, a constrained optimization problem over this basis is quickly solved to find an IMRT plan that meets organ-at-risk (OAR) and target coverage constraints.