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Neuenschwander Dwight E.: Tensor
Calculus for Physics

Tensor Calculus for Physics

A Concise Guide

Mathematics and Biomedical Engineering in Medicine, Physiology and Health Sciences is a visionary book, whose purpose is to demonstrate how fundamental mathematics and biomedical engineering can be incorporated into physiology, medicine, and health sciences teaching, research, and clinical practice to make these disciplines more quantitative and computational, and hence more explanatory and informative. The book also provides more quantitative formulation of medical procedures, towards supporting the growing field of precision medicine.

Mathematics and Biomedical Engineering in Medicine, Physiology and Health Sciences

An accessible resource to help you puzzle out logic concepts Logic For Dummies, 2nd Edition explains all the varied ways we use logic in philosophy, science, and everyday life. College students taking a logic course and lifelong learners alike can benefit from this accessible guide to logic concepts--such as syllogisms, constructing proofs and refutations, propositional and predicate logic, symbolic logic, modal and fuzzy logic, deductive and inductive reasoning, and beyond. With real-world examples, fun logic problems, and fully worked out proofs, you have plenty of opportunities to follow along and apply what you've learned. Logic For Dummies, 2nd Edition helps you connect the logical dots! Inside: <ul> <li>Grasp formal and informal logic with clear explanations and practice problems</li> <li>See how logic shows up in everyday life and discover how to spot logical fallacies</li> <li>Work through logical proofs and refutations, with answer explanations to strengthen your understanding</li> <li>Sharpen your ability to reason through complex issues with truth tables</li> </ul> Logic For Dummies, 2nd Edition is the logical choice for anyone who wants or needs to learn the concepts, theories, and formulas of logical reasoning.

Logic For Dummies

Chalcogenide Nanophotonics

A Practical Introduction

Membrane Protein Bioinformatics

Smart Thinking

A new smart-thinking series that applies complex mathematical ideas to everyday scenarios.

Mathematical answers to life’s key questions

Why Don’t Rabbits Rule The World?

While the field of Deep Learning has been advancing at frightening speeds during the last ten years, we do not have a plausible theoretical explanation of its success yet. One can safely say that Deep Learning works, but nobody really understands why. Nevertheless, starting around five years before now, a decent number of theoretical papers specifically concerning neural nets started to emerge at top machine learning venues. This makes us think that the core of Deep Learning theory has already started to crystallize.The goal of the present book is to present these core concepts of Deep Learning theory to readers so that they could directly dive into recent papers of this area. For this purpose, each chapter elaborates a simple model or a classical result in details first and then discusses possible generalizations and more recent developments of the same idea.We have to warn the reader that the present book is not a mathematical manuscript. Not all results here are stated as formal theorems and not all theorems are provided with complete and rigorous proofs. Many of the theorems of the book are proven up to some technical lemmas, while for some there is only a proof sketch. This conforms with the main idea of the book: present and illustrate concepts rather than reproduce all the results.The book, in its present form, covers the following topics: uniform generalization bounds, PAC-bayesian generalization bounds, double descent phenomena, infinitely-wide networks, implicit bias of gradient descent, loss landscape, gradient descent convergence guarantees, and initialization strategies.

Elements Of Deep Learning Theory

A hands-on approach to preparing your company for AI-powered digital transformation In Monster Transformation: Conquer Your Digital Fears, Be AI Ready, and Focus on What Matters to Your Organization, a team of veteran digital leaders delivers an expert framework to digital transformation that focuses on the competencies your employees will need to have-and develop-to enable your organization to function in a world defined by generative artificial intelligence. Monster Transformation blends actionable insights, real-world case studies, and immediately recognizable organizational behaviors that can either move forward or derail transformation in the age of AI. Whether you are leading, a part of, supporting or interested in organizational transformation, this book challenges conventional thought on dealing with transformation, provides insights on how and why barriers to effective change arise and pragmatic mechanisms to address challenges, diminish barriers and leverage employees. You'll also find: <ul> <li>Examples of transformation blockers and obstacles, as well as the steps you need to take to eliminate and overcome them</li> <li>Real-world insights from interviews with transformation leaders across industries and organizational layers </li> <li>10 incisive case studies from well-known brands including Ferrari, Instacart, Patagonia, Brooks Running, and Calm, hands-on scenarios, chapter exercises, and actionable takeaways you can apply immediately at your own organization</li> </ul> Perfect for managers, executives, and other business leaders, Monster Transformation offers a practical approach for implementing the world's newest, most exciting technologies in your company. With a foreword by Shellye Archambeau, bestselling author of Unapologetically Ambitious, Monster Transformation is a no-BS humanistic take on how organizations can adapt and thrive in a chaotic and turbulent environment.

Conquer Your Digital Fears, Be AI Ready, and Focus on What Matters to Your Organization

Monster Transformation

Manchester Physics Series

Begin to understand the cosmos with this easy-to-use introduction Astrophysics is the application of physics to astronomical studies, dedicated to understanding the properties of celestial objects even from an immeasurable distance. Cosmology is the study of the Universe itself: its properties, its origins, its ongoing evolution. Together, these two are among the foundational subfields of astronomy, producing extraordinary insights into the broader cosmos we inhabit. Introduction to Astrophysics &amp; Cosmology provides a foundational introduction to these two subjects, intended for interested students with little to no prior knowledge of astronomy. Emphasizing basic physical principles throughout, it covers astronomical bodies and spaces at all scales, from the whole cosmos to our own solar system. The result is an indispensable guide for students wishing to familiarize themselves with the study of our Universe. Introduction to Astrophysics &amp; Cosmology readers will also find: Discussion of astronomical tools such as telescopes and moreProblems and self-assessment questions, with solutions, at the conclusion of each chapterLinks to other valuable online resourcesIntroduction to Astrophysics &amp; Cosmology is ideal for undergraduate physics or astronomy students, as well as general readers with some physical knowledge desiring an introductory astronomy text.

Introduction to Astrophysics & Cosmology

Data-Driven Modeling

Wiley Series on Mass Spectrometry

This book encompasses topics from the fundamentals of disease related protein misfolding and mass spectrometry, to current research highlights in these areas. It is aimed to provide an overview of this rapidly developing field in order to present a good mixture of information that will encourage people to participate in, and further the use of mass spectrometry in studying protein misfolding with biologically relevant applications. Using examples from the current literature, the book focuses on details relating to understanding the fundamentals of disease related protein misfolding, conducting and optimising the mass spectrometry experiment, and also future prospects of methodologies within this rapidly evolving and topical research area.

Using current examples and high-quality illustrations, this book covers topics including how to conduct and optimize experiments; the structural and atomic level information afforded by mass spectrometry in disease related protein systems, and incorporates future research prospects.

This book encompasses topics from the fundamentals of disease related protein misfolding and mass spectrometry, to current research highlights in these areas. It is aimed to provide an overview of this rapidly developing field in order to present a good mixture of information that will encourage people to participate in, and further the use of mass spectrometry in studying protein misfolding with biologically relevant applications. Using examples from the current literature, the book focuses on details relating to understanding the fundamentals of disease related protein misfolding, conducting and optimising the mass spectrometry experiment, and also future prospects of methodologies within this rapidly evolving and topical research area.

Using current examples and high-quality illustrations, this book covers topics including how to conduct and optimize experiments; the structural and atomic level information afforded by mass spectrometry in disease related protein systems, and incorporates future research prospects.

Insights from Mass Spectrometry

Protein Misfolding, Aggregation and Disease

Interface Transmission Tutorial Book Series

Long-Lived Resonances

Sensing

Many of the deepest and most important areas of mathematics have arisen from questions about extremes - shortest lines, smallest areas, densest packings, fewest colours. Mathematicians have been grappling with such issues for centuries, and some go back thousands of years. The isoperimetric problem, for example - which asks for the shortest path enclosing a given area - dates back to the mythological founding of the city of Carthage. By contrast, it was only in 2017 that the densest ways to pack identical spheres into a space of 24 dimensions was finally proved. Many of these problems are more than mere thought experiments. The origins of the Travelling Salesperson Problem - find the shortest route that visits a given set of cities - are self-explanatory. The Plateau problem, about the geometry of soap bubbles, now has applications as diverse as cosmology and biological development. Reaching for the Extreme tells the stories of these and other similar problems: their historical roots, the struggles to solve them, and the uses that can be made of the results, when such uses exist.

How the Quest for the Biggest, Fewest and Weirdest Makes Maths

Reaching for the Extreme

Tensor Calculus for Physics

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