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Service-Oriented Computing – ICSOC 2020 Workshops - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Connected Business - - Bog - Springer Nature Switzerland AG - Plusbog.dk

Elections and TV News in South Africa - Bernadine Jones - Bog - Springer Nature Switzerland AG - Plusbog.dk

The Everyday Life of an Algorithm - Daniel Neyland - Bog - Springer Nature Switzerland AG - Plusbog.dk

The Limits of Art - Jiri Benovsky - Bog - Springer Nature Switzerland AG - Plusbog.dk

Quantum Computing for the Quantum Curious - Anastasia Perry - Bog - Springer Nature Switzerland AG - Plusbog.dk

Quantum Computing for the Quantum Curious - Anastasia Perry - Bog - Springer Nature Switzerland AG - Plusbog.dk

This open access book makes quantum computing more accessible than ever before. A fast-growing field at the intersection of physics and computer science, quantum computing promises to have revolutionary capabilities far surpassing "classical" computation. Getting a grip on the science behind the hype can be tough: at its heart lies quantum mechanics, whose enigmatic concepts can be imposing for the novice. This classroom-tested textbook uses simple language, minimal math, and plenty of examples to explain the three key principles behind quantum computers: superposition, quantum measurement, and entanglement. It then goes on to explain how this quantum world opens up a whole new paradigm of computing. The book bridges the gap between popular science articles and advanced textbooks by making key ideas accessible with just high school physics as a prerequisite. Each unit is broken down into sections labelled by difficulty level, allowing the course to be tailored to the student''s experience of math and abstract reasoning. Problem sets and simulation-based labs of various levels reinforce the concepts described in the text and give the reader hands-on experience running quantum programs. This book can thus be used at the high school level after the AP or IB exams, in an extracurricular club, or as an independent project resource to give students a taste of what quantum computing is really about. At the college level, it can be used as a supplementary text to enhance a variety of courses in science and computing, or as a self-study guide for students who want to get ahead. Additionally, readers in business, finance, or industry will find it a quick and useful primer on the science behind computing''s future.

DKK 349.00
1

Modern Mathematical Statistics with Applications - Kenneth N. Berk - Bog - Springer Nature Switzerland AG - Plusbog.dk

Modern Mathematical Statistics with Applications - Kenneth N. Berk - Bog - Springer Nature Switzerland AG - Plusbog.dk

This 3 rd edition of Modern Mathematical Statistics with Applications tries to strike a balance between mathematical foundations and statistical practice. The book provides a clear and current exposition of statistical concepts and methodology, including many examples and exercises based on real data gleaned from publicly available sources. Here is a small but representative selection of scenarios for our examples and exercises based on information in recent articles: - Use of the "Big Mac index" by the publication The Economist as a humorous way to compare product costs across nations - Visualizing how the concentration of lead levels in cartridges varies for each of five brands of e-cigarettes - Describing the distribution of grip size among surgeons and how it impacts their ability to use a particular brand of surgical stapler - Estimating the true average odometer reading of used Porsche Boxsters listed for sale on www.cars.com - Comparing head acceleration after impact when wearing a football helmet with acceleration without a helmet - Investigating the relationship between body mass index and foot load while running The main focus of the book is on presenting and illustrating methods of inferential statistics used by investigators in a wide variety of disciplines, from actuarial science all the way to zoology. It begins with a chapter on descriptive statistics that immediately exposes the reader to the analysis of real data. The next six chapters develop the probability material that facilitates the transition from simply describing data to drawing formal conclusions based on inferential methodology. Point estimation, the use of statistical intervals, and hypothesis testing are the topics of the first three inferential chapters. The remainder of the book explores the use of these methods in a variety of more complex settings. This edition includes many new examples and exercises as well as an introduction to the simulation of events and probability distributions. There are more than 1300 exercises in the book, ranging from very straightforward to reasonably challenging. Many sections have been rewritten with the goal of streamlining and providing a more accessible exposition. Output from the most common statistical software packages is included wherever appropriate (a feature absent from virtually all other mathematical statistics textbooks). The authors hope that their enthusiasm for the theory and applicability of statistics to real world problems will encourage students to pursue more training in the discipline.

DKK 901.00
1