Research in inverse problems has grown significantly in recent years, and engineers no longer have only trial-and-error methods at their disposal. For this handbook, leading experts joined forces to produce a definitive reference that allows readers to understand and implement a variety of problem-solving techniques. Each chapter details a different method with clear explanations, examples, and in many cases, software algorithms. The techniques addressed include sequential function estimation, mollification, space marching techniques, and adjoint, Monte Carlo, and gradient-based methods. Discussions also cover experiment design and the effects of uncertain parameters.
Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.