Just as in its 1st edition, this book starts with illustrations of the ubiquitous character of
optimization, and describes numerical algorithms in a tutorial way. It covers fundamental …

We present pyOpt, an object-oriented framework for formulating and solving nonlinear
constrained optimization problems in an efficient, reusable and portable manner. The …

Fortran 77 software implementing the SPG method is introduced. SPG is a nonmonotone
projected gradient algorithm for solving large-scale convex-constrained optimization …

A sequential quadratic programming (SQP) algorithm generating feasible iterates is
described and analyzed. What distinguishes this algorithm from previous feasible SQP …

CFSQP is a set of C functions for the minimization of the maximum of a set of smooth
objective functions (possibly a single one) subject to general smooth constraints. If the initial …

It is often important for designers and photographers to convey or enhance desired color
themes in their work. A color theme is typically defined as a template of colors and an …

Attaching tantalum markers to prostheses for Roentgen stereophotogrammetry (RSA) may
be difficult and is sometimes even impossible. In this study, a model-based RSA method that …

Over the last decade, Evolutionary Algorithms (EAs) have emerged as a powerful paradigm
for global optimization of multimodal functions. More recently, there has been significant …

Frequency setting requires the determination of the dispatching headways of all bus lines in
a city network and constitutes the main activity in the tactical planning of public transport …

Timetables are typically generated based on passenger demand and travel time
expectations. This work incorporates the travel time and passenger demand uncertainty to …