Deformable image registration is a fundamental task in medical image processing. Among
its most important applications, one may cite: 1) multi-modality fusion, where information …

The steepest descent method has a rich history and is one of the simplest and best known
methods for minimizing a function. While the method is not commonly used in practice due to …

Accurate battery lifespan prediction is critical for the quality evaluation and long-term
planning of battery management systems. As battery degradation process is typically …

Based on the classic augmented Lagrangian multiplier method, we propose, analyze and
test an algorithm for solving a class of equality-constrained non-smooth optimization …

Chemical engineering applications have been a source of challenging optimization
problems for over 50 years. For many chemical process systems, detailed steady state and …

One of the most effective methods for nonlinearly constrained optimization generates steps
by solving quadratic subproblems. This sequential quadratic programming (SQP) approach …

Since its popularization in the late 1970s, Sequential Quadratic Programming (SQP) has
arguably become the most successful method for solving nonlinearly constrained …

This is a book for people interested in solving optimization problems. Because of the wide
(and growing) use of optimization in science, engineering, economics, and industry, it is …

Finding sparse approximate solutions to large underdetermined linear systems of equations
is a common problem in signal/image processing and statistics. Basis pursuit, the least …

Optimization Theory and Methods can be used as a textbook for an optimization course for
graduates and senior undergraduates. It is the result of the author's teaching and research …