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Approximation Algorithms for NP-Hard Problems
Approximation algorithms have developed in response to the impossibility of solving
a great variety of important optimization problems. Too frequently, when attempting to
get a solution for a problem, one is confronted with the fact that the problem is NP-haid.
This, in the words of Garey and Johnson, means "I can't find an... | | Introduction to Quantum Mechanics
Written by the author of the best-selling E & M text, this text is designed to teach students how to DO quantum mechanics. Part I covers the basic theory; Part II develops approximation schemes and real-world applications. *offers an unusually readable, consistent, and honest discussion of fundamental ideas. *some books allow students to... | | Geodetic Heights (Springer Geophysics)
This book provides the necessary background of geometry, mathematics and physical geodesy, useful to a rigorous approach to geodetic heights. The concept of height seems to be intuitive and immediate, but on the contrary it requires a good deal of scientific sharpness in the definition and use. As a matter of fact the geodetic, geographic ... |
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| | Chebyshev PolynomialsChebyshev polynomials crop up in virtually every area of numerical analysis, and they hold particular importance in recent advances in subjects such as orthogonal polynomials, polynomial approximation, numerical integration, and spectral methods. Yet no book dedicated to Chebyshev polynomials has been published since 1990, and even that work... | | Aided Navigation: GPS with High Rate SensorsDesign Cutting-Edge Aided Navigation Systems for Advanced Commercial & Military Applications
Aided Navigation is a design-oriented textbook and guide to building aided navigation systems for smart cars, precision farming vehicles, smart weapons, unmanned aircraft, mobile robots, and other advanced applications.... |
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