Andrew Knight ... 216 pages -
Publisher: Chapman and Hall/CRC; 1st edition (August, 1999) ...
Language: English -
ISBN-10: 0849320399 -
ISBN-13: 978-084932039 ...
MATLAB-the tremendously popular computation, numerical analysis, signal
processing, data analysis, and graphical software package-allows
virtually every scientist and engineer to make better and faster
progress. As MATLAB's world-wide sales approach a half-million with an
estimated four million users, it becomes a near necessity that
professionals and students have a level of competence in its use. Until
now, however, there has been no book that quickly and effectively
introduces MATLAB's capabilities to new users and assists those with
more experience down the path toward increasingly sophisticated work.
Basics
of MATLAB and Beyond is just such a book. Its hands-on, tutorial
approach gently takes new users by the hand and leads them to competence
in all the fundamentals of MATLAB. Then, with equal effectiveness, it
covers the advanced topics that lead to full, creative exploitation of
MATLAB's awesome power.
With this book, readers will: Solve more problems with MATLAB-and solve them faster * Create clearer, more beautiful graphics with control over every detail * Create their own MATLAB code * Share their work by exporting data and graphics to other applications * Develop graphical user interfaces. Based on the latest 5.x release, Basics of MATLAB and Beyond supplies
both novice and experienced users the tools they need to gain
proficiency, increase productivity, and ultimately have more fun with
MATLAB.
This two-volume set LNCS 9712 and LNCS 9713 constitutes the refereed
proceedings of the 7th International Conference on Swarm Intelligence,
ICSI 2016, held in Bali, Indonesia, in June 2016. The 130 revised
regular papers presented were carefully reviewed and selected from 231
submissions. The papers are organized in 22 cohesive sections covering
major topics of swarm intelligence and related areas such as trend and
models of swarm intelligence research; novel swarm-based optimization
algorithms; swarming behaviour; some swarm intelligence algorithms and
their applications; hybrid search optimization; particle swarm
optimization; PSO applications; ant colony optimization; brain storm
optimization; fireworks algorithms; multi-objective optimization;
large-scale global optimization; biometrics; scheduling and planning;
machine learning methods; clustering algorithm; classification; image
classification and encryption; data mining; sensor networks and social
networks; neural networks; swarm intelligence in management decision
making and operations research; robot control; swarm robotics;
intelligent energy and communications systems; and intelligent and
interactive and tutoring systems.
