Linear approximation is a method used to estimate the value of a function near a given point using the tangent line at that point. This technique simplifies complex functions into a linear form, ...

PLA is one method to approximate a single valued function of one variable in terms of a sequence of linear pieces. Figure 1. A function (blue) and a piecewise linear approximation to it (red).

Abstract: This article investigates the problem of Simultaneous Localization and Mapping (SLAM) from the perspective of linear estimation theory. The problem is first formulated in terms of graph ...

The circumference of a sphere is measured to be 24 cm, with a possible error of 0.25 cm. Use the differential \(dV\) to estimate the maximum error in the calculated ...

We discuss structure-preserving model order reduction for port-Hamiltonian systems based on a nonlinear approximation ansatz which is linear with respect to a part of the state variables of the ...

Least-squares reverse time migration (LSRTM) is powerful for imaging complex geological structures. Most researches are based on Born modeling operator with the assumption of small perturbation.

The present codes estimate the network statistics of the Hopf whole-brain model (Deco et al. 2017). This model corresponds to a network of nonlinear oscillators described by a normal form of a ...