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Illustrates by example the typical steps necessary in computer science to build a mathematical model of any programming... Read More >>
We describe in this book, new methods for analysis and design of hybrid intelligent systems using soft computing... Read More >>
Algebraic Geometry provides an impressive theory targeting the understanding of geometric objects defined algebraically.... Read More >>
Each of us has come to optimization, traditionally a subject studied in applied mathematics, from a background in... Read More >>
This much-needed work presents, among other things, the relevant aspects of the theory of matrix algebra for applications... Read More >>
However, since the late nineties, many new methods have been developed and nonlinear dimensionality reduction, also... Read More >>
This volume both engages the reader and provides a sound foundation for the use of immunoinformatics techniques... Read More >>
This compact, self-contained introduction to the theory and application of Bayesian statistical methods is accessible... Read More >>
Genetic Programming Theory and Practice VI was developed from the sixth workshop at the University of Michigan’s... Read More >>
Genetic Programming Theory and Practice IV was developed from the fourth workshop at the University of Michigan’s... Read More >>
Gomory [80] in the late 1950s, the theoretical and methodological development of integer programming has grown by... Read More >>
Genetic Programming Theory and Practice III provides both researchers and industry professionals with the most recent... Read More >>
Industrial Mathematics is a relatively recent discipline. Hence, to be a good ""industrial mathematician"" you need... Read More >>
It will be shown that utility and probability fu- tions derived in a non-Bayesian manner can be used for generating... Read More >>
My purpose in this monograph is to present an essentially self-contained account of the mathematical theory of Galerkin... Read More >>
This monograph describes a new family of algorithms for the simultaneous localization and mapping problem in robotics... Read More >>
The authors address this question by presenting neural network models that integrate the two most fundamental phenomena... Read More >>