'solution for task' is correct and usable in written English.
You can use it when you are referring to a specific task that needs to be solved. For example, "We have found an effective solution for the task of reducing waste in our manufacturing process."
A graphical approximate solution, an analytical solution for symmetrical tasks, and a numerical solution for tasks of arbitrary form are presented and illustrated by examples.
This section describes our solution approach for task allocation.
The EU select committee in the House of Lords has recommended caution in the regulation of drones – especially important, it suggests, if public confidence is to increase to a point where they are accepted as solutions for tasks such as delivering parcels for Amazon, spraying crops or providing security at large events.
After completing each task, they were shown a video solution for that task.
Taking into account all existing boundary conditions it turned out that thermal spraying is the best solution for this task.
Learning a control policy to actuate such robots is characterized by the search of a single solution for the task, with a representation of the policy consisting of moving the robot through a set of points to follow a trajectory.
Although some attempts are being made to 'a priori' decide which kernel function is more suitable for a problem, no definite solution for this task has been found yet, since choosing the best kernel very often reduces to a selection among different possibilities by a cross-validation process.
Furthermore, the proposed algorithm has shown a superior performance in finding the near-optimum solution for this task when it is compared to the most popular evolutionary algorithms in engineering applications, i.e. genetic algorithm (GA) and particle swarm optimization (PSO).
For instance a program with a priori information and no memory limitations can use a look-up table that contains a predetermined solution for each task.
When HTSeq was first released in 2010, htseq-count was the first comprehensive solution for this task, and has since then been widely used.
By assuming that the state of any locus is only dependent on its nearest neighbor, HMM provides a natural solution for the task of segmenting the stated DNA sequences [25].
