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The question of the origins of the universe is probably one of the most dwelled upon and argued about over the last couple of centuries. Ever since Charles Darwin proposed his theory, evolutionists and creationists want to settle the issue on their sides. But science did not stop at Darwin’s time. It progressed enormously, creating significant problems for Darwinian explanations. Is there a better answer than the dominant neo-Darwinian synthesis? Even more fundamental is the question of whether natural science, by itself, can explain the origins of nature. What are the limits of science and where should we turn to philosophy and theology? How do these three domains—science, philosophy, and theology—relate when addressing the question of origins? Theistic evolution, the idea of God using evolution as a means of creating the universe, faces problems from both classic Christian theology as well as classic metaphysics. Today things do not look good for the dominant views. The time has come to propose a new faith and science synthesis, one that offers a serious approach to the Bible on the one hand and an honest look at biological findings on the other. This book sets a path to such a new synthesis.
This book is a must-have tutorial for software developers aiming to write concurrent programs in Scala, or broaden their existing knowledge of concurrency. This book is intended for Scala programmers that have no prior knowledge about concurrent programming, as well as those seeking to broaden their existing knowledge about concurrency. Basic knowledge of the Scala programming language will be helpful. Readers with a solid knowledge in another programming language, such as Java, should find this book easily accessible.
This book introduces the quantum mechanical framework to information retrieval scientists seeking a new perspective on foundational problems. As such, it concentrates on the main notions of the quantum mechanical framework and describes an innovative range of concepts and tools for modeling information representation and retrieval processes. The book is divided into four chapters. Chapter 1 illustrates the main modeling concepts for information retrieval (including Boolean logic, vector spaces, probabilistic models, and machine-learning based approaches), which will be examined further in subsequent chapters. Next, chapter 2 briefly explains the main concepts of the quantum mechanical framework, focusing on approaches linked to information retrieval such as interference, superposition and entanglement. Chapter 3 then reviews the research conducted at the intersection between information retrieval and the quantum mechanical framework. The chapter is subdivided into a number of topics, and each description ends with a section suggesting the most important reference resources. Lastly, chapter 4 offers suggestions for future research, briefly outlining the most essential and promising research directions to fully leverage the quantum mechanical framework for effective and efficient information retrieval systems. This book is especially intended for researchers working in information retrieval, database systems and machine learning who want to acquire a clear picture of the potential offered by the quantum mechanical framework in their own research area. Above all, the book offers clear guidance on whether, why and when to effectively use the mathematical formalism and the concepts of the quantum mechanical framework to address various foundational issues in information retrieval.
Skeptics have cast doubt on the idea that scientific theories give us a true picture of an objective world. Lawrence Sklar examines three kinds of skeptical arguments about scientific truth, and explores the important role that these play within foundational science itself, especially physics. First, doubts have been expressed about the legitimacy of claiming truth for assertions about the realm of the unobservable. Second, scientific theories have been characterized as relying heavily on idealization of the physical systems they seek to describe. Third, it is noted that scientific theories tend to be transient, and even the best currently available are expected to be replaced in the future. Sklar demonstrates that these kinds of philosophical critique are employed within science itself, and reveals the clear difference between how they operate in a scientific and in a more abstract philosophical context. The underlying theme of Theory and Truth is that science and philosophy are essential to, and inextricable from, each other. One cannot understand the methods of science except by understanding philosophy, and one cannot fruitfully pursue philosophy of science without understanding foundational science as well.
This volume deals with those topics of mathematical physics, associated with the study of the Schrödinger equation, which are considered to be the most important. Chapter 1 presents the basic concepts of quantum mechanics. Chapter 2 provides an introduction to the spectral theory of the one-dimensional Schrödinger equation. Chapter 3 opens with a discussion of the spectral theory of the multi-dimensional Schrödinger equation, which is a far more complex case and requires careful consideration of aspects which are trivial in the one-dimensional case. Chapter 4 presents the scattering theory for the multi-dimensional non-relativistic Schrödinger equation, and the final chapter is devoted to quantization and Feynman path integrals. These five main chapters are followed by three supplements, which present material drawn on in the various chapters. The first two supplements deal with general questions concerning the spectral theory of operators in Hilbert space, and necessary information relating to Sobolev spaces and elliptic equations. Supplement 3, which essentially stands alone, introduces the concept of the supermanifold which leads to a more natural treatment of quantization. Although written primarily for mathematicians who wish to gain a better awareness of the physical aspects of quantum mechanics and related topics, it will also be useful for mathematical physicists who wish to become better acquainted with the mathematical formalism of quantum mechanics. Much of the material included here has been based on lectures given by the authors at Moscow State University, and this volume can also be recommended as a supplementary graduate level introduction to the spectral theory of differential operators with both discrete and continuous spectra. This English edition is a revised, expanded version of the original Soviet publication.
A lively and erudite introduction for readers with a background in undergraduate mathematics but no previous knowledge of physics.
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The Journal on Advanced Studies in Theoretical and Experimental Physics, including Related Themes from Mathematics
Summary Rx.NET in Action teaches developers how to build event-driven applications using the Reactive Extensions (Rx) library. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Modern applications must react to streams of data such as user and system events, internal messages, and sensor input. Reactive Extensions (Rx) is a .NET library containing more than 600 operators that you can compose together to build reactive client- and server-side applications to handle events asynchronously in a way that maximizes responsiveness, resiliency, and elasticity. About the Book Rx.NET in Action teaches developers how to build event-driven applications using the Rx library. Starting with an overview of the design and architecture of Rx-based reactive applications, you'll get hands-on with in-depth code examples to discover firsthand how to exploit the rich query capabilities that Rx provides and the Rx concurrency model that allows you to control both the asynchronicity of your code and the processing of event handlers. You'll also learn about consuming event streams, using schedulers to manage time, and working with Rx operators to filter, transform, and group events. What's Inside Introduction to Rx in C# Creating and consuming streams of data and events Building complex queries on event streams Error handling and testing Rx code About the Reader Readers should understand OOP concepts and be comfortable coding in C#. About the Author Tamir Dresher is a senior software architect at CodeValue and a prominent member of Israel's Microsoft programming community. Table of Contents PART 1 - GETTING STARTED WITH REACTIVE EXTENSIONS Reactive programming Hello, Rx Functional thinking in C# PART 2 - CORE IDEAS Creating observable sequences Creating observables from .NET asynchronous types Controlling the observer-observable relationship Controlling the observable temperature Working with basic query operators Partitioning and combining observables Working with Rx concurrency and synchronization Error handling and recovery APPENDIXES Writing asynchronous code in .NET The Rx Disposables library Testing Rx queries and operators
This book explores recursive architectures in designing progressive hyperspectral imaging algorithms. In particular, it makes progressive imaging algorithms recursive by introducing the concept of Kalman filtering in algorithm design so that hyperspectral imagery can be processed not only progressively sample by sample or band by band but also recursively via recursive equations. This book can be considered a companion book of author’s books, Real-Time Progressive Hyperspectral Image Processing, published by Springer in 2016.