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 …

It is shown that the basic regularization procedures for finding meaningful approximate
solutions of ill-conditioned or singular linear systems can be phrased and analyzed in terms …

The recent developments in the modern data collection tools, techniques, and storage
capabilities are leading towards huge volume of data. The dimensions of data indicate the …

Graphs, such as social networks, word co-occurrence networks, and communication
networks, occur naturally in various real-world applications. Analyzing them yields insight …

Neural networks notoriously suffer from the problem of catastrophic forgetting, the
phenomenon of forgetting the past knowledge when acquiring new knowledge. Overcoming …

Due to the advances in computer-based communication and health services over the past
decade, the need for image security becomes urgent to address the requirements of both …

1. The Inverse of a Nonsingular Matrix It is well known that every nonsingular matrix A has a
unique inverse,? 1 denoted by A, such that? 1? 1 AA= AA= I,(1) where I is the identity matrix …

Parameter Estimation and Inverse Problems, Third Edition, is structured around a course at
New Mexico Tech and is designed to be accessible to typical graduate students in the …

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 …

Early and accurate fault detection and diagnosis for modern manufacturing processes can
minimise downtime, increase the safety of plant operations, and reduce costs. Such process …