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Now in its second edition, this accessible text presents a unified Bayesian treatment of state-of-the-art filtering, smoothing, and parameter estimation algorithms for non-linear …
Sowohl im Studium als auch in der t glichen Arbeit ben tigt der Physiker eine Vielzahl mathematischer Methoden, die ber die Methoden aus den Grundvorlesungen der Analysis und …
An examination of the symbiotic and productive relationship between fully nonlinear partial differential equations and generalized potential theoriesIn recent years, there has …
Partial differential equations are a vital part of any course in pure or applied mathematics. This book will be invaluable to anyone looking for a lucid but comprehensive …
Symington's almost toric fibrations have played a central role in symplectic geometry over the past decade, from Vianna's discovery of exotic Lagrangian tori to recent work on …
In this book, you will find 112 Questions, mostly multiple-choice, with several constructed response questions. The questions span seven units: Whole Numbers, Fractions, Decimals …
The new student in differential and low-dimensional topology is faced with a bewildering array of tools and loosely connected theories. This short book presents the essential parts …
A description of perturbation-based methods developed in machine learning to augment novel optimization methods with strong statistical guarantees. In nearly all machine learning, …
The official guide to the Brain Dynamics Toolbox.The Brain Dynamics Toolbox is open-source matlab software for simulating dynamical systems in neuroscience. Specifically, …
This book is aimed squarely at B.Sc. or B.A. undergraduate students of mathematical physics, experimental physics or theoretical chemistry. The book is designed to lead the reader …