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Quantum Computing without Magic: Devices (Scientific and Engineering Computation)
Quantum Computing without Magic: Devices (Scientific and Engineering Computation)
"Quantum Computing without Magic gives a refreshing and down to earth approach to quantum information as well as quantum devices which will have a fundamental impact on the technology of the 21st century."
Raymond Laflamme, Canada Research Chair in Quantum Information, and Director, Institute for
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Mathematics for Multimedia
Mathematics for Multimedia

Beautiful mathematical ideas abound in multimedia software! Some are not encountered until late in undergraduate or even postgraduate study, whereas they can be appreciated and used much earlier. This book presents a few dozen such pearls, strung together by their ubiquity in many applications. It is based on the course Topics in...

Smoothing Spline ANOVA Models (Springer Series in Statistics)
Smoothing Spline ANOVA Models (Springer Series in Statistics)

Nonparametric function estimation with stochastic data, otherwise known as smoothing, has been studied by several generations of statisticians. Assisted by the ample computing power in today's servers, desktops, and laptops, smoothing methods have been finding their ways into everyday data analysis by practitioners. While scores of...

Introduction to Mathematical Statistics and Its Applications, An (4th Edition)
Introduction to Mathematical Statistics and Its Applications, An (4th Edition)

Noted for its integration of real-world data and case studies, this guide offers sound coverage of the theoretical aspects of mathematical statistics. It demonstrates how and when to use statistical methods, while reinforcing the calculus that readers have already mastered. Presents standard statistical techniques in a mathematical context,...

Introduction to Machine Learning (Adaptive Computation and Machine Learning)
Introduction to Machine Learning (Adaptive Computation and Machine Learning)
The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning exist already, including systems that analyze past sales data to predict customer behavior, recognize faces or spoken speech, optimize robot behavior so that a task can be completed...
Calculus For Dummies
Calculus For Dummies

The mere thought of having to take a required calculus course is enough to make legions of students break out in a cold sweat. Others who have no intention of ever studying the subject have this notion that calculus is impossibly difficult unless you happen to be a direct descendant of Einstein.

Well, the good news is that you...

Mathematical Foundations of Computer Networking (Addison-Wesley Professional Computing Series)
Mathematical Foundations of Computer Networking (Addison-Wesley Professional Computing Series)

 

Graduate students, researchers, and professionals in the field of computer networking often require a firm conceptual understanding of its theoretical foundations. Knowledge of optimization, information theory, game theory, control theory, and queueing theory is assumed by research papers in the
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Calculus: 1,001 Practice Problems For Dummies (+ Free Online Practice) (For Dummies Series)
Calculus: 1,001 Practice Problems For Dummies (+ Free Online Practice) (For Dummies Series)

Practice makes perfect—and helps deepen your understandingof calculus

1001 Calculus Practice Problems For Dummies takes youbeyond the instruction and guidance offered in Calculus ForDummies, giving you 1001 opportunities to practice solvingproblems from the major topics in your calculus course. Plus,...

Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science)
Linear Models with R (Chapman & Hall/CRC Texts in Statistical Science)

Books on regression and the analysis of variance abound-many are introductory, many are theoretical. While most of them do serve a purpose, the fact remains that data analysis cannot be properly learned without actually doing it, and this means using a statistical software package. There are many of these to choose from as well, all with...

Essentials of Mathematical Methods in Science and Engineering
Essentials of Mathematical Methods in Science and Engineering

A comprehensive introduction to the multidisciplinary applications of mathematical methods, revised and updated

The second edition of Essentials of Mathematical Methods in Science and Engineering offers an introduction to the key mathematical concepts of advanced calculus, differential equations, complex...

Brownian Motion Calculus
Brownian Motion Calculus

Brownian Motion Calculus presents the basics of Stochastic Calculus with a focus on the valuation of financial derivatives. It is intended as an accessible introduction to the technical literature. The sequence of chapters starts with a description of Brownian motion, the random process which serves as the basic driver...

Mathematical Methods: For Students of Physics and Related Fields (Lecture Notes in Physics)
Mathematical Methods: For Students of Physics and Related Fields (Lecture Notes in Physics)
Intended to follow the usual introductory physics courses, this book has the unique feature of addressing the mathematical needs of sophomores and juniors in physics, engineering and other related fields. Many original, lucid, and relevant examples from the physical sciences, problems at the ends of chapters, and boxes to emphasize important...
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