Methods of Optimization and Systems Analysis for Problems of Transcomputational Complexity

✍ Scribed by Ivan V. Sergienko (auth.)

• Publisher: Springer-Verlag New York
• Year: 2012
• Tongue: English
• Leaves: 237
• Series: Springer Optimization and Its Applications 72
• Edition: 1
• Category: Library

✦ Synopsis

This work presents lines of investigation and scientific achievements of the Ukrainian school of optimization theory and adjacent disciplines. These include the development of approaches to mathematical theories, methodologies, methods, and application systems for the solution of applied problems in economy, finances, energy saving, agriculture, biology, genetics, environmental protection, hardware and software engineering, information protection, decision making, pattern recognition, self-adapting control of complicated objects, personnel training, etc. The methods developed include sequential analysis of variants, nondifferential optimization, stochastic optimization, discrete optimization, mathematical modeling, econometric modeling, solution of extremum problems on graphs, construction of discrete images and combinatorial recognition, etc. Some of these methods became well known in the world's mathematical community and are now known as classic methods.

✦ Table of Contents

Front Matter....Pages i-xiv
Science Was the Meaning of His Life....Pages 1-27
Optimization Methods and Their Efficient Use....Pages 29-105
Mathematical Modeling and Analysis of Complex Processes on Supercomputer Systems....Pages 107-160
Problems of Modeling and Analysis of Processes in Economic Cybernetics....Pages 161-185
Analyzing the Solution of Complicated Combinatorial Problems....Pages 187-210
Back Matter....Pages 211-226

✦ Subjects

Optimization; Simulation and Modeling; Computer Imaging, Vision, Pattern Recognition and Graphics