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Subdivision Methods for Geometric Design: A Constructive Approach (The Morgan Kaufmann Series in Computer Graphics)
Subdivision Methods for Geometric Design: A Constructive Approach (The Morgan Kaufmann Series in Computer Graphics)
Subdivision is an exciting new area in computer graphics that allows a geometric shape to be modeled as the limit of a sequence of increasingly faceted polyhedra. Companies such as Pixar and Alias/Wavefront have made subdivision surfaces the basic building block for much of their computer graphics/modeling software. Assuming a background of basic...
Analog VLSI: Circuits and Principles
Analog VLSI: Circuits and Principles

The aim of this book is to present the collective expertise of the neuromorphic engineering community. It presents the central concepts required for creative and successful design of analog very-large-scale-integrated (VLSI) circuits. The book could support teaching courses, and provides an efficient introduction to new practitioners who have...

Digital Asset Management
Digital Asset Management

My interest in this subject started when I joined the broadcast equipment manufacturer, Chyron. For a few years I was the product manager for their playout automation and asset management product lines. These were one of the first applications that gave television broadcasters the means to manage the ingest, storage, archiving, and...

NumPy 1.5 Beginner's Guide
NumPy 1.5 Beginner's Guide

An action packed guide for the easy-to-use, high performance, free open source NumPy mathematical library using real-world examples

  • The first and only book that truly explores NumPy practically
  • Perform high performance calculations with clean and efficient NumPy code
  • Analyze large data sets...
From Curve Fitting to Machine Learning: An Illustrative Guide to Scientific Data Analysis and Computational Intelligence
From Curve Fitting to Machine Learning: An Illustrative Guide to Scientific Data Analysis and Computational Intelligence

The analysis of experimental data is at heart of science from its beginnings. But it was the advent of digital computers in the second half of the 20th century that revolutionized scientific data analysis twofold: Tedious pencil and paper work could be successively transferred to the emerging software applications so sweat and tears...

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or...

Digital Signal Processing Techniques and Applications in Radar Image Processing (Information and Communication Technology Series,)
Digital Signal Processing Techniques and Applications in Radar Image Processing (Information and Communication Technology Series,)
A self-contained approach to DSP techniques and applications in radar imaging

The processing of radar images, in general, consists of three major fields: Digital Signal Processing (DSP); antenna and radar operation; and algorithms used to process the radar images. This book brings together material from these different areas to allow readers to...

3+1 Formalism in General Relativity: Bases of Numerical Relativity (Lecture Notes in Physics, Vol. 846)
3+1 Formalism in General Relativity: Bases of Numerical Relativity (Lecture Notes in Physics, Vol. 846)

This graduate-level, course-based text is devoted to the 3+1 formalism of general relativity, which also constitutes the theoretical foundations of numerical relativity. The book starts by establishing the mathematical background (differential geometry, hypersurfaces embedded in space-time, foliation of space-time by a family of space-like...

An Introduction to Optimization, 2nd Edition
An Introduction to Optimization, 2nd Edition
A modern, up-to-date introduction to optimization theory and methods
This authoritative book serves as an introductory text to optimization at the senior undergraduate and beginning graduate levels. With consistently accessible and elementary treatment of all topics, An Introduction to Optimization, Second Edition helps students build a
...
Numerical Polynomial Algebra
Numerical Polynomial Algebra
This first book on the numerical analysis of polynomial systems is a stepping stone at the interface of symbolic computation and numerical computation. Bernard Sturmfels, Department of Mathematics, University of Berkeley

I am not familiar with any books that do such a careful job of combining numerical analysis with the algebra of
...
Numerical and Analytical Methods with MATLAB (Applied and Computational Mechanics)
Numerical and Analytical Methods with MATLAB (Applied and Computational Mechanics)

Numerical and Analytical Methods with MATLAB presents extensive coverage of the MATLAB programming language for engineers. It demonstrates how the built-in functions of MATLAB can be used to solve systems of linear equations, ODEs, roots of transcendental equations, statistical problems, optimization problems, control systems problems, and...

AMPL: A Modeling Language for Mathematical Programming
AMPL: A Modeling Language for Mathematical Programming

AMPL is a language for large-scale optimization and mathematical programming problems in production, distribution, blending, scheduling, and many other applications. Combining familiar algebraic notation and a powerful interactive command environment, AMPL makes it easy to create models, use a wide variety of solvers, and examine solutions....

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