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Elementary Functions: Algorithms and Implementation
Elementary Functions: Algorithms and Implementation
"An important topic, which is on the boundary between numerical analysis and computer science…. I found the book well written and containing much interesting material, most of the time disseminated in specialized papers published in specialized journals difficult to find. Moreover, there are very few books on these topics and they are...
The Fifth Postulate: How Unraveling A Two Thousand Year Old Mystery Unraveled the Universe
The Fifth Postulate: How Unraveling A Two Thousand Year Old Mystery Unraveled the Universe
What do Einstein's theory of relativity, string theory, and lots of other mind-bending—and space-bending—revelations of modern physics have in common? None of them could have been discovered until scientists and mathematicians recognized an uncomfortable truth—that there was a reason the world's greatest mathematical minds had...
Rare Event Simulation using Monte Carlo Methods
Rare Event Simulation using Monte Carlo Methods
In a probabilistic model, a rare event is an event with a very small probability of occurrence. The forecasting of rare events is a formidable task but is important in many areas. For instance a catastrophic failure in a transport system or in a nuclear power plant, the failure of an information processing system in a bank, or in the communication...
Geometric Computing: for Wavelet Transforms, Robot Vision, Learning, Control and Action
Geometric Computing: for Wavelet Transforms, Robot Vision, Learning, Control and Action

Geometric algebra (GA) is a powerful new mathematical system for computational geometry. Although its origins can be traced back to Hermann Grassmann (1844), its development as a language for space–time geometry with applications to all of physics did not begin until 1966. Suddenly, in the year 2000 it was recognized that a specialized...

Energy Minimization Methods in Computer Vision and Pattern Recognition: 8th International Conference, EMMCVPR 2011
Energy Minimization Methods in Computer Vision and Pattern Recognition: 8th International Conference, EMMCVPR 2011

Over the last few decades, energy minimization methods have become an established paradigm to resolve a variety of challenges in the fields of computer vision and pattern recognition. While traditional approaches to computer vision were often based on a heuristic sequence of processing steps and merely allowed a very limited...

Fundamentals of Logic Design (with Companion CD-ROM)
Fundamentals of Logic Design (with Companion CD-ROM)

After studying this text, you should be able to apply switching theory to the solution of logic design problems.This means that you will learn both the basic theory of switching circuits and how to apply it. After a brief introduction, you will study Boolean algebra, which is the basic mathematical tool needed to analyze and synthesize...

Python Algorithms: Mastering Basic Algorithms in the Python Language
Python Algorithms: Mastering Basic Algorithms in the Python Language

Python Algorithms, Second Edition explains the Python approach to algorithm analysis and design. Written by Magnus Lie Hetland, author of Beginning Python, this book is sharply focused on classical algorithms, but it also gives a solid understanding of fundamental algorithmic problem-solving techniques.

The book...

A First Course in Mathematical Modeling
A First Course in Mathematical Modeling

Offering a solid introduction to the entire modeling process, A FIRST COURSE IN MATHEMATICAL MODELING, 5th Edition delivers an excellent balance of theory and practice, and gives you relevant, hands-on experience developing and sharpening your modeling skills. Throughout, the book emphasizes key facets of modeling, including creative and...

Path Integrals in Physics Volume 1: Stochastic Process & Quantum Mechanics
Path Integrals in Physics Volume 1: Stochastic Process & Quantum Mechanics
The importance of path-integral methods in theoretical physics can hardly be disputed. Their applications in most branches of modern physics have proved to be extremely fruitful not only for solving already existing problems but also as a guide for the formulation and development of essentially new ideas and approaches in the description of...
Signal Processing and Linear Systems
Signal Processing and Linear Systems
This text presents a comprehensive treatment of signal processing and linear systems suitable for juniors and seniors in electrical engineering. Based on B. P. Lathi's widely used book, Linear Systems and Signals, it features additional applications to communications, controls, and filtering as well as new chapters on analog and digital filters and...
Information Theory and Reliable Communication
Information Theory and Reliable Communication
This book is designed primarily for use as a first-year graduate text in information theory, suitable for both engineers and mathematicians. It is assumed that the reader has some understanding of freshman calculus and elementary probability, and in the later chapters some introductory random process theory. Unfortunately there is one more...
Excel for the Math Classroom (Excel for Professionals series)
Excel for the Math Classroom (Excel for Professionals series)
This book was born out of a desire to help teachers teach their students math by being engaged in its study, and by showing teachers how they can custombuild visual examples of some of the concepts they are trying to get across to their students. Microsoft Excel is an extremely powerful spreadsheet with literally hundreds of built-in mathematical,...
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