It is difficult finding someone who really knows what they are doing with Internet Marketing and Search Engine Optimization. There are many that would like you to believe they are experts, but they could very well get your site de-listed. This is a short guide designed to aid high end professionals to learn enough about Internet Marketing and Search Engine Optimization in order to intelligently hire the right person for their marketing efforts online.
A First Course in Combinatorial Optimization is a text for a one-semester introductory graduate-level course for students of operations research, mathematics, and computer science. It is a self-contained treatment of the subject, requiring only some mathematical maturity. Topics include: linear and integer programming, polytopes, matroids and matroid optimization, shortest paths, and network flows. Central to the exposition is the polyhedral viewpoint, which is the key principle underlying the successful integer-programming approach to combinatorial-optimization problems. Another key unifying topic is matroids. The author does not dwell on data structures and implementation details, preferring to focus on the key mathematical ideas that lead to useful models and algorithms. Problems and exercises are included throughout as well as references for further study.
A metaheuristic is a set of concepts that can be used to define heuristic methods that can be applied to a wide set of different problems. This volume presents a family of advanced methods of optimization called metaheuristics. This category covers simulated annealing, tabu search, evolutionary and genetic algorithms, and ant colonies. The book contains various case studies from engineering and operations research, and includes commented literature for each chapter.
Marketing Research, 12th Edition prepares marketing students to make data driven business decisions. With a focus on market intelligence, strategy, theory and application, the authors introduce the latest developments in the field of marketing research and discuss their impact on marketing research applications--all in a macro-micro framework to help students understand the big picture.
The principal objective of this book is to present a collection of challenging test problems arising in literature studies and a wide spectrum of applications. These applications include: pooling/blending operations, heat exchanger network synthesis, phase and chemical reactor network synthesis, parameter estimation and data reconciliation, clusters of atoms and molecules, pump network synthesis, trim loss minimization, homogeneous azeotropic separation, dynamic optimization and optimal control problems. Audience: This book will be of value to academic and industrial researchers interested in algorithmic and software development of well-designed nonconvex optimization test problems.
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