Introduced in 1993, the DIRECT global optimization algorithm provided a fresh approach to
minimizing a black-box function subject to lower and upper bounds on the variables. In …

The target audience of this book are computer scientists, system architects, knowledge
engineers and programmers, who face a problem of combining various inputs into a single …

In this edition, the scope and character of the monograph did not change with respect to the
first edition. Taking into account the rapid development of the field, we have, however …

In science, engineering and economics, decision problems are frequently modelled by
optimizing the value of a (primary) objective function under stated feasibility constraints. In …

The use of neural networks in safety-critical computer vision systems calls for their
robustness certification against natural geometric transformations (eg, rotation, scaling) …

This handbook provides an up-to-date compendium of fundamental computer science
topics, techniques, and applications. Along with updating and revising many of the existing …

Simplicial Partitions in Global Optimization | SpringerLink Skip to main content
Advertisement SpringerLink Account Menu Find a journal Publish with us Track your …

Many practical problems involve the search for the global extremum in the space of the
system parameters. The functions to be optimized are often highly multiextremal, black-box …

Optimization is a very broad field of research with a wide spectrum of important applications.
Until the 1950s, optimization was understood as a single-objective optimization, ie, as the …

We describe a new framework for globally solving the 3D-3D registration problem with
unknown point correspondences. This problem is significant as it is frequently encountered …