The phrase "a simple problem for" is correct and usable in written English.
It can be used when indicating that a particular issue or challenge is easy to solve for someone or something.
Example: "This is a simple problem for an experienced programmer to tackle."
Alternatives: "an easy task for" or "a straightforward issue for".
And that is a simple problem!" Mr. Holzinger, for one, seems to have mastered the discipline problem by acting hip and unflappable.
"Problem description" and "A proposed algorithm" give problem description for a simple problem and results are developed for n-dimensional and nonlinear demand-state function.
Though geometric optimal control and numerical continuation provide a nice way to design efficient approaches for many aerospace applications, the answer to "how to select a reasonably simple problem for the continuation procedure" for general optimal control problems remains open.
It's a simple problem: When cash is tight for consumers, it doesn't make sense for them to splurge on luxury vehicles.
An example error analysis is performed to illustrate data transfer error and behavior for a simple problem.
In order to demonstrate the ability of the method, a simple problem is presented aiming at searching for best configuration of blocks located for creating valuable fish habitat in a canal.
In order to confirm its capability to search for the optimal shielding design, MACNOS is applied for solving a simple problem with regard to radiation shielding optimization of a hypothetical spaceship reactor.
When they learned how to solve a simple problem, they gave a high rating for mental effort because they thought they had learned it very well.
These analytical models are used to formulate the system lifetime problem into a simpler problem, find the optimum solution for the system lifetime problem, and evaluate the performance of heuristic models.
Indeed, Reichardt (2004) has shown that there are simple problems for which the algorithm will get stuck in a local minimum, in which there are exponentially many eigenvalues all exponentially close to the ground state energy, so applying the adiabatic theorem, even for these simple problems, will take exponential time, and we are back to square one.
