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A Primer for the Monte Carlo Method
A Primer for the Monte Carlo Method

The Monte Carlo method is a numerical method of solving mathematical problems through random sampling. As a universal numerical technique, the method became possible only with the advent of computers, and its application continues to expand with each new computer generation. A Primer for the Monte Carlo Method demonstrates how practical...

Practical Scientific Computing (Woodhead Publishing in Mathematics)
Practical Scientific Computing (Woodhead Publishing in Mathematics)
Scientific computing is about developing mathematical models, numerical methods and computer implementations to study and solve real problems in science, engineering, business and even social sciences. Mathematical modeling requires deep understanding of classical numerical methods. There are a number of commercial and open...
All the Mathematics You Missed: But Need to Know for Graduate School
All the Mathematics You Missed: But Need to Know for Graduate School
Math is Exciting. We are living in the greatest age of mathematics ever seen. In the 1930s, there were some people who feared that the rising abstractions of the early twentieth century would either lead to mathematicians working on sterile, silly intellectual exercises or to mathematics splitting into sharply distinct...
McGraw-Hill Ryerson Calculus & Advanced Functions
McGraw-Hill Ryerson Calculus & Advanced Functions

This text makes extensive use of graphing calculators, and worked examples often included an alternative solution using the graphing calculator. However, pencil-and-paper worked examples introduce the concepts so that students will understand the mathematics that the technology uses. This approach also ensure that students who do not have...

Probability
Probability

This textbook is ideal for an undergraduate introduction to probability, with a calculus prerequisite. It is based on a course that the author has taught many times at Berkeley. The text's overall style is informal, but all results are stated precisely, and most are proved. Understanding is developed through intuitive explanations and...

Introduction to Probability and Statistics from a Bayesian Viewpoint, Part 2, Inference
Introduction to Probability and Statistics from a Bayesian Viewpoint, Part 2, Inference

The two parts of this book treat probability and statistics as mathematical disciplines and with the same degree of rigour as is adopted for other branches of applied mathematics at the level of a British honours degree. They contain the minimum information about these subjects that any honours graduate in mathematics ought to know. They are...

Planets and Planetary Systems
Planets and Planetary Systems

Planetary Science is an exciting, fast-moving, interdisciplinary field with courses taught in a wide range of departments, including astronomy, physics, chemistry, earth sciences and biology. Planets and Planetary Systems is a well-written, concise introductory textbook on the science of planets within our own and other solar...

Electrotherapeutic Devices: Principles, Design, and Applications
Electrotherapeutic Devices: Principles, Design, and Applications

Electrotherapy is fast gaining mainstream acceptance, no doubt due to the growing mountain of clinical evidence demonstrating its effectiveness. To meet the growing demand for information, this scientifically rigorous guide gives healthcare professionals and engineers essential technical, biological, and clinical background together with...

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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Bayesian Reasoning and Machine Learning
Bayesian Reasoning and Machine Learning
We live in a world that is rich in data, ever increasing in scale. This data comes from many di erent sources in science (bioinformatics, astronomy, physics, environmental monitoring) and commerce (customer databases, nancial transactions, engine monitoring, speech recognition, surveillance, search). Possessing the knowledge as to...
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...

Introduction to Continuum Biomechanics (Synthesis Lectures on Biomedical Engineering)
Introduction to Continuum Biomechanics (Synthesis Lectures on Biomedical Engineering)

This book is concerned with the study of continuum mechanics applied to biological systems, i.e., continuum biomechanics. This vast and exciting subject allows description of when a bone may fracture due to excessive loading, how blood behaves as both a solid and fluid, down to how cells respond to mechanical forces that lead to changes in...

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