This book describes the theory, operation, and application of genetic algorithms-search algorithms based on the mechanics of natural selection and genetics.

Engineers must make decisions regarding the distribution of expensive resources in a manner that will be economically beneficial. This problem can be realistically formulated and logically analyzed with optimization theory. This book shows engineers how to use optimization theory to solve complex problems.

A comprehensive introduction to the tools, techniques and applications of convex optimization.

Is your workload overwhelming? This volume aims to teach you how to keep a clear head, relax and organize your thoughts while implementing the organizational methods taught in the book, which include planning and progressing projects, reassessing goals, and overcoming feelings of anxiety.

This book is designed to help problem solvers make the best use of optimization software--i.e., to use existing methods most effectively whenever possible, and to adapt and modify techniques for particular problems if necessary. The contents of this book therefore include some topics that are essential for all those who wish to solve optimization problems. In addition, certain topics are treated .

This book introduces students to optimization theory and its use in economics and allied disciplines.

Explains how MySQL works under the hood so that experienced users can understand why it's fast and, conversely, what can slow it down. This book teaches how to maximize the speed and robustness of MySQL through advanced configuration, and methods to optimize everything from schemas, queries, server settings and applications to operating systems.

The only introduction you'll need to start programming in R.

The method of least squares: the principal tool for reducing the influence of errors when fitting models to given observations.

An introduction to a wide range of techniques and applications used in dynamical mathematical modelling. Emphasizing algebraic concepts, the text encourages students to develop a different manner of thinking about mathematics in order to apply mathematical concepts to other fields.

Masterful unification of disparate fields and lessons from nature; derives comprehensible and realistic design principles.

Based on lectures delivered at the AMS meeting in 1901, this book describes the progress in calculus of variations. This title describes the landmark results of Weierstrass on sufficient conditions for the extremum of a functional in terms of the second variation. It helps in learning about classical calculus of variations.

This is part one of a two-volume work presenting a definitive and comprehensive treatment of the finite-dimensional variational inequality and complementarity problem. This volume covers the basic theory needed and should appeal to mathematicians, economists, and engineers working in the area.

This is the first comprehensive introduction to the concepts, theories, and applications of pricing and revenue optimization.

Studies two algorithms in detail: the ellipsoid method and the simultaneous diophantine approximation method.

New features of Dynamic Optimization will show students: advances in how to do comparative dynamics; how to optimally switch from one state equation to another during the planning period; how to take into account the history of the system governing an optimization problem through the use of an integral state equation; and how to.

This textbook provides a thorough treatment of standard methods such as linear and quadratic programming, Newton-like methods and the conjugate gradient method. The theoretical aspects of the subject include a treatment of optimality conditions and the significance of Lagrange multipliers.