



  Quantum Gravitation: The Feynman Path Integral ApproachThe book covers the theory of Quantum Gravitation from the point of view of Feynman path integrals. These provide a manifestly covariant approach in which fundamental quantum aspects of the theory such as radiative corrections and the renormalization group can be systematically and consistently addressed. The path integral method is suitable for...   

Applied Fuzzy Arithmetic: An Introduction with Engineering ApplicationsApplied Fuzzy Arithmetic provides a wellstructured compendium that offers both a deeper knowledge about the theory of fuzzy arithmetic and an extensive view on its applications in the engineering sciences, making it a resource for students, researchers, and practical engineers. The first part of the book gives an introduction...   The Automotive Chassis: Volume 1: Components Design (Mechanical Engineering Series)The aim of the book is to be a reference book in automotive technology, as far as automotive chassis (i.e. everything that is inside a vehicle except the engine and the body) is concerned. The book is a result of a decade of work heavily sponsored by the FIAT group (who supplied material, together with other automotive companies, and sponsored...   Thermodynamics
In this classic of modern science, the Nobel Laureate presents a clear treatment of systems, the First and Second Laws of Thermodynamics, entropy, thermodynamic potentials, and much more. Calculus required.
THIS book ori~nated in a course of lectures held at Columbia University, New York, during the summer session of... 


C++ for Everyone
This book is an introduction to C++ and computer programming that focuses on the
essentials—and on effective learning. The book is designed to serve a wide range of
student interests and abilities and is suitable for a first course in programming for
computer scientists, engineers, and students in other disciplines. No prior...   Principles of Data Mining (Adaptive Computation and Machine Learning)
The growing interest in data mining is motivated by a common problem across disciplines: how does one store, access, model, and ultimately describe and understand very large data sets? Historically, different aspects of data mining have been addressed independently by different disciplines. This is the first truly...   Hadoop in Practice
Summary
Hadoop in Practice, Second Edition provides over 100 tested, instantly useful techniques that will help you conquer big data, using Hadoop. This revised new edition covers changes and new features in the Hadoop core architecture, including MapReduce 2. Brand new chapters cover YARN and integrating... 


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