Sentence examples for inherently approximate from inspiring English sources

Exact(2)

Finally, the critical issues of using inherently approximate FDTD method and future improvement for solving EM problems and SERS applications are discussed.

Typically, offset paths are constructed offline in a CAM system — the resulting paths are inherently approximate, and must be re-generated when a different tool size is selected.

Similar(57)

However, the output of PMC is exact, as opposed to the output of stochastic simulation which is inherently approximated, taking averages over sets of simulation runs.

To approximate the inherently stochastic evolution of chemical systems typically ordinary differential equations (ODEs) are in use (Dittrich et al. 2001).

We consider projection methods a class of inherently parallel methods for calculating approximate inverses and we consider the properties of these approximate inverses applied as explicit preconditioners of Krylov subspace methods.

Since locations obtained by most positioning techniques are inherently imprecise, users may send approximate location queries with precision constraints to trade for energy consumption of sensor nodes.

Improvement of temporal resolution inherently decreases the count accuracy per time frame, since the (approximate) Poisson distribution of count statistics (for prompt coincidences) dictates a relative standard deviation dependent on the inverse square root of the observed counts.

However, distance vector is obtained by utilizing the approximate fast solution of the LLC coding method which inherently induces information loss.

Neural networks have provided an ideal framework for online identification and control of many complex uncertain engineering systems because of their great flexibility in approximating a large class of continuous maps and their adaptability due to their inherently parallel architecture.

In particular, a simulation-based method is proposed that centers on the concept of decoupling the inherently nested reliability/probabilistic analysis from the optimization loop through the definition of a series of high quality approximate subproblems.

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