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"Learning through doing is the foundation of this book, which allows readers to explore case studies as well as expository material. The book provides a practical guide to the numerical solution of linear and nonlinear equations, differential equations, optimization problems, and eigenvalue problems. It treats standard problems and introduces important variants such as sparse systems, differential-algebraic equations, constrained optimization, Monte Carlo simulations, and parametric studies. Stability and error analysis is emphasized, and the MATLAB algorithms are grounded in sound principles of software design and in the understanding of machine arithmetic and memory management."

""Introduction to Logistics Systems Planning and Control presents a self contained introduction to the quantitative methods necessary for logistics systems management at a level suitable for students of engineering, computer science and management science. With this new, thoroughly revised edition, the author introduces business logistics and covers sales forecasting, inventory management, warehouse design and management and transport planning and control, and includes new chapters on procurement and the design of automated storage and retrieval systems, as well as new case studies that demonstrate how the methods can be applied to complex logistics problems. It is illustrated throughout by real examples and features a number of new case studies that show the reader how to apply the methods described, and a supporting website features new exercises and teaching material"-- Provided by publisher."