Building information models (BIMs) are maturing as a new paradigm for storing and
exchanging knowledge about a facility. BIMs constructed from a CAD model do not …

Publisher Summary The total least squares (TLS) method is one of the several linear
parameter estimation techniques that have been devised to compensate for data errors. One …

The integration of data and scientific computation is driving a paradigm shift across the
engineering, natural, and physical sciences. Indeed, there exists an unprecedented …

The dynamic mode decomposition (DMD)—a popular method for performing data-driven
Koopman spectral analysis—has gained increased popularity for extracting dynamically …

In the Architecture, Engineering, and Construction (AEC) domain, semantically rich 3D
information models are increasingly used throughout a facility's life cycle for diverse …

The quintessential goal of sensor array signal processing is the estimation of parameters by
fusing temporal and spatial information, captured via sampling a wavefield with a set of …

An adaptive method based on the idea of multiple component grids for the solution of
hyperbolic partial differential equations using finite difference techniques is presented …

The use of partial least squares (PLS) for handling collinearities among the independent
variables X in multiple regression is discussed. Consecutive estimates (rank1,2,⋯) are …

Excerpt More than 25 years have passed since the first edition of this book was published in
1996. Least squares and least-norm problems have become more significant with every …

Most newcomers to the field of linear stochastic estimation go through a difficult process in
understanding and applying the theory. This book minimizes the process while introducing …