inverse problem

Often, it is not possible to exactly solve the inverse problem directly.

The method can be viewed as the inverse problem of network analysis.

The reconstruction of an image from the acquired data is an inverse problem.

This is a simple example of an inverse problem.

There are four main academic journals covering inverse problems in general.

This fundamental difficulty is referred to as the inverse problem.

To do so, we define a goal, also known as an objective function, for the inverse problem.

In this case the inverse problem will typically be ill-conditioned.

Computing a lot of models to find which agree with the data is solving the Inverse problem.

He has also done research on mathematical ecology and inverse problems in medical imaging.

Structure prediction is fundamentally different from the inverse problem of protein design.

They share the basic features of both: the inverse problem is generally far more difficult to solve, and there may not be a unique answer.

Generally speaking, remote sensing works on the principle of the inverse problem.

They also commonly arise in linear forward modeling and inverse problems.

The field concerns itself with two kinds of questions: direct problems and inverse problems.

In this restricted sense, medical imaging can be seen as the solution of Mathematics inverse problems.

"What we've created is an inverse problem in genetics.

Professor Mura was also interested in the inverse problems.

The inverse problems play an important role in qualitative nondestructive evaluation of materials.

A number of approaches to this inverse problem are addressed in detail in.

The solution for sound speed, hence temperature, from the acoustic travel times is an inverse problem.

The objective of an inverse problem is to find the best model such that (at least approximately)

Although this example is simplistic, it illustrates the general strategy that visual system uses to work around the inverse problem.

In this sense the inverse problem of inferring from measured is ill-posed.

In the sense of functional analysis, the inverse problem is represented by a mapping between metric spaces.