This introductory book on optimization (mathematical programming) includes coverage on linear programming, nonlinear programming, integer programming and heuristic programming; as well as an emphasis on model building using Excel and Solver. The emphasis on model building (rather than algorithms) is one of the features that makes this book distinctive. Most books devote more space to algorithmic details than to formulation principles. These days, however, it is not necessary to know a great deal about algorithms in order to apply optimization tools, especially when relying on the s
Providing a modeling solution for optimization problems, this book integrates the key concepts of ma...
This book presents examples of modern optimization algorithms. The focus is on a clear understanding...
Linear and integer programming are fundamental toolkits for data and information science and technol...
Emphasizing practical understanding over the technicalities of specific algorithms, this elegant tex...
The brief contents of this book are linear programming : basic concepts, the art of modeling with sp...
This work is focused on solving optimization problems using Microsoft Excel. Application is written ...
Introduces students to the theory, algorithms, and applications of optimization. The optimization me...
The access to advanced optimization software needs more and more sophisticated modeling tools. Optim...
deals with optimization programs of the form minimize subject to and includes the following general ...
Optimization is the procedure of detecting attributes, configurations or parameters of a system, to ...
This book is intended as a text covering the central concepts of practical optimization techniques. ...
Attempts to be the first easy-to-read book about nonsmooth optimization Covers both the theory and ...
Focuses on mathematical structure, and on real-world applications. This book includes developments i...
This book provides an insightful and modern treatment of combinatorial and algorithmic mathematics, ...
This textbook covers the fundamentals of optimization, including linear, mixed-integer linear, nonli...
Providing a modeling solution for optimization problems, this book integrates the key concepts of ma...
This book presents examples of modern optimization algorithms. The focus is on a clear understanding...
Linear and integer programming are fundamental toolkits for data and information science and technol...
Emphasizing practical understanding over the technicalities of specific algorithms, this elegant tex...
The brief contents of this book are linear programming : basic concepts, the art of modeling with sp...
This work is focused on solving optimization problems using Microsoft Excel. Application is written ...
Introduces students to the theory, algorithms, and applications of optimization. The optimization me...
The access to advanced optimization software needs more and more sophisticated modeling tools. Optim...
deals with optimization programs of the form minimize subject to and includes the following general ...
Optimization is the procedure of detecting attributes, configurations or parameters of a system, to ...
This book is intended as a text covering the central concepts of practical optimization techniques. ...
Attempts to be the first easy-to-read book about nonsmooth optimization Covers both the theory and ...
Focuses on mathematical structure, and on real-world applications. This book includes developments i...
This book provides an insightful and modern treatment of combinatorial and algorithmic mathematics, ...
This textbook covers the fundamentals of optimization, including linear, mixed-integer linear, nonli...
Providing a modeling solution for optimization problems, this book integrates the key concepts of ma...
This book presents examples of modern optimization algorithms. The focus is on a clear understanding...
Linear and integer programming are fundamental toolkits for data and information science and technol...