Sentence examples for by transforming a problem from inspiring English sources

Galois's theory of equations was an example of what could be achieved by transforming a problem in one branch of mathematics into a problem in another, more abstract branch.

It empirically classified problem sets collected from textbooks and designed methods to generate similar problems for each type of the sets by transforming a problem.

Time frequency localized analysis and synthesis low-pass filters (LPF) are designed using convex semidefinite programming (SDP) by transforming a nonconvex problem into a convex SDP using semidefinite relaxation technique.

In this paper, we show that finite alphabet constant-envelope (FACE) quadrature-pulse shift keying (QPSK) waveforms can be designed to realize a given covariance matrix by transforming a constrained nonlinear optimization problem into an unconstrained nonlinear optimization problem.

In this paper, the individual UT rate target is achieved by transforming a non-convex optimization problem into a tractable set of successive convex approximations.

The idea in this paper is based upon a more general approach to solve optical problems by transforming a given light distribution or wave as input into the desired waveform on the output of a single X-ray optical component.

Algorithms are provided for solving such transshipment problems by transforming the original problem into an equivalent transportation problem by adding an additional row and a column.

BGMRS considers nodes with varying performance (e.g., those present in a heterogeneous cloud computing environment) and is able to obtain the optimal solution of the scheduling problem for a batch workload by transforming the problem into a well-known graph problem: minimum weighted bipartite matching.

By transforming the problem into a deformation controlled rather than a force controlled process, the results from the process parameter estimation become more reliable but on the other hand less intuitive.

Hence, we optimize this problem by transforming the problem into a single-output multivariate regression with a group-lasso penalty, and apply a fast optimization method developed for group lasso (Tomioka and Sugiyama, 2009).

A new approach is presented for analyzing gas mixtures by transforming the problem into a pattern classification one to reduce the effect of the poor repeatability of sensor response on the prediction of gas concentration.