|
Showing 1 - 2 of
2 matches in All Departments
This book focuses on the development of approximation-related
algorithms and their relevant applications. Individual
contributions are written by leading experts and reflect emerging
directions and connections in data approximation and optimization.
Chapters discuss state of the art topics with highly relevant
applications throughout science, engineering, technology and social
sciences. Academics, researchers, data science practitioners,
business analysts, social sciences investigators and graduate
students will find the number of illustrations, applications, and
examples provided useful. This volume is based on the conference
Approximation and Optimization: Algorithms, Complexity, and
Applications, which was held in the National and Kapodistrian
University of Athens, Greece, June 29-30, 2017. The mix of survey
and research content includes topics in approximations to discrete
noisy data; binary sequences; design of networks and energy
systems; fuzzy control; large scale optimization; noisy data;
data-dependent approximation; networked control systems; machine
learning ; optimal design; no free lunch theorem; non-linearly
constrained optimization; spectroscopy.
This book focuses on the development of approximation-related
algorithms and their relevant applications. Individual
contributions are written by leading experts and reflect emerging
directions and connections in data approximation and optimization.
Chapters discuss state of the art topics with highly relevant
applications throughout science, engineering, technology and social
sciences. Academics, researchers, data science practitioners,
business analysts, social sciences investigators and graduate
students will find the number of illustrations, applications, and
examples provided useful. This volume is based on the conference
Approximation and Optimization: Algorithms, Complexity, and
Applications, which was held in the National and Kapodistrian
University of Athens, Greece, June 29-30, 2017. The mix of survey
and research content includes topics in approximations to discrete
noisy data; binary sequences; design of networks and energy
systems; fuzzy control; large scale optimization; noisy data;
data-dependent approximation; networked control systems; machine
learning ; optimal design; no free lunch theorem; non-linearly
constrained optimization; spectroscopy.
|
You may like...
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
|