Explore: Inverse Problems

causes and then calculates the effects. Inverse problems are some of the most important mathematical problems in science and mathematics because they

numbers? More unsolved problems in mathematics In Galois theory, the inverse Galois problem concerns whether or not every finite group appears as the Galois

dimension the inverse scattering problem is equivalent to a Riemann-Hilbert problem. Inverse scattering has been applied to many problems including radiolocation

both forward and inverse kinematics to models. In some, but not all cases, there exist analytical solutions to inverse kinematic problems. One such example

Inverse Problems is a peer-reviewed, broad-based interdisciplinary journal for pure and applied mathematicians and physicists produced by IOP Publishing

neural networks (PINNs) have proven particularly effective in solving inverse problems within differential equations, demonstrating their applicability across

itself is a smooth function of those parameters. Inverse problems are often ill-posed; for example, the inverse heat equation, deducing a previous distribution

Inverse transform sampling (also known as inversion sampling, the inverse probability integral transform, the inverse transformation method, or the Smirnov

taking that uncertainty into account. Probabilistic formulation of inverse problems leads to the definition of a probability distribution in the model

Kepler problem is a special case of the two-body problem, in which the two bodies interact by a central force that varies in strength as the inverse square