As a scientist, you are a professional writer: your career is built on successful proposals and papers. Success isn't defined …
Loop quantum gravity is one of the main contenders to unify Einstein's general theory of relativity and quantum mechanics, therefore …
Most of the equations governing the problems related to science and engineering are nonlinear in nature. As a result, they …
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Animal behavior has long been a battleground between the competing claims of nature and nurture, with the possible role of …
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Prepare for success in the classroom! Corresponding to the chapters in the 9th edition of Lewis' market-leading Medical-Surgical Nursing, this …
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The Greek text of J.L. Heiberg (1883-1884) from Euclidis Elementa, edidit et Latine interpretatus est I.L. Heiberg, Lipsiae, in aedibus …
That there have been remarkable advances in the field of molecular electronic structure during the last decade is clear not …
A Historical Introduction to Mathematical Modeling of Infectious Diseases: Seminal Papers in Epidemiology offers step-by-step help on how to navigate …
R is the most powerful tool you can use for statistical analysis. This definitive guide smooths R’s steep learning curve …
The Essential Cosmic Perspective, Sixth Edition retains all of the features that have made this text so popular and effective. …
This booklet is provided at no extra charge with new copies of Balmer's Modern Engineering Thermodynamics. It contains two appendices. …
This handbook is aquick reference to International Accounting Standards and is designed for all those who interact with financial information, …
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Journey through the world of numbers with the foremost authorities and writers in the field. John Horton Conway and Richard …
A former international hostage negotiator for the FBI offers a new, field-tested approach to high-stakes negotiations—whether in the boardroom or …
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With this volume you will learn to explore the mysteries of your sleeping self. Beginning with simple steps such as …
Updated and revised second edition of the bestselling guide to advanced deep learning with TensorFlow 2 and Keras Key Features …
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Describes the leading techniques for analyzing noise.Discusses methods that are applicable to periodic signals, aperiodic signals, or random processes over …
