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Linear Algebra: A Geometric Approach
Linear Algebra: A Geometric Approach
One of the most enticing aspects of mathematics, we have found, is the interplay of ideas from seemingly disparate disciplines of the subject. Linear algebra provides a beautiful illustration of this, in that it is by nature both algebraic and geometric. ...
Thermodynamic Models for Industrial Applications: From Classical and Advanced Mixing Rules to Association Theories
Thermodynamic Models for Industrial Applications: From Classical and Advanced Mixing Rules to Association Theories

Using an applications perspective Thermodynamic Models forIndustrial Applications provides a unified framework for thedevelopment of various thermodynamic models, ranging from theclassical models to some of the most advanced ones. Among these arethe Cubic Plus Association Equation of State (CPA EoS) and thePerturbed Chain Statistical...

Python Playground: Geeky Projects for the Curious Programmer
Python Playground: Geeky Projects for the Curious Programmer

Python is a powerful programming language that’s easy to learn and fun to play with. But once you’ve gotten a handle on the basics, what do you do next?

Python Playground is a collection of imaginative programming projects that will inspire you to use Python to make art and music, build simulations of
...

Matrix Algebra: Theory, Computations, and Applications in Statistics (Springer Texts in Statistics)
Matrix Algebra: Theory, Computations, and Applications in Statistics (Springer Texts in Statistics)

Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work presents the relevant aspects of the theory of matrix algebra for applications in statistics. It moves on to consider the various types of matrices encountered in statistics, such as projection matrices and...

Linear Algebra For Dummies
Linear Algebra For Dummies

Your hands-on guide to real-world applications of linear algebra

Does linear algebra leave you feeling lost? No worries —this easy-to-follow guide explains the how and the why of solving linear algebra problems in plain English. From matrices to vector spaces to linear transformations, you'll understand the key concepts and see how...

Matrix Transforms for Computer Games and Animation
Matrix Transforms for Computer Games and Animation

Matrix transforms are ubiquitous within the world of computer graphics, where they have become an invaluable tool in a programmer’s toolkit for solving everything from 2D image scaling to 3D rotation about an arbitrary axis. Virtually every software system and hardware graphics processor uses matrices to undertake operations such as...

Mathematics of Economics and Business
Mathematics of Economics and Business
Today, a firm understanding of mathematics is essential for any serious student of economics. Students of economics need nowadays several important mathematical tools. These include calculus for functions of one or several variables as well as a basic understanding of optimization with and without constraints, e.g. linear programming plays an...
Nonlinear Digital Filtering with Python: An Introduction
Nonlinear Digital Filtering with Python: An Introduction

Nonlinear Digital Filtering with Python: An Introduction discusses important structural filter classes including the median filter and a number of its extensions (e.g., weighted and recursive median filters), and Volterra filters based on polynomial nonlinearities. Adopting both structural and behavioral approaches in characterizing...

Guide to Computational Geometry Processing: Foundations, Algorithms, and Methods
Guide to Computational Geometry Processing: Foundations, Algorithms, and Methods

This book reviews the algorithms for processing geometric data, with a practical focus on important techniques not covered by traditional courses on computer vision and computer graphics. Features: presents an overview of the underlying mathematical theory, covering vector spaces, metric space, affine spaces, differential geometry, and finite...

The Linear Algebra a Beginning Graduate Student Ought to Know
The Linear Algebra a Beginning Graduate Student Ought to Know

Linear algebra is a living, active branch of mathematics which is central to almost all other areas of mathematics, both pure and applied, as well as to computer science, to the physical, biological, and social sciences, and to engineering. It encompasses an extensive corpus of theoretical results as well as a large and rapidly-growing body...

Schaum's Outline of Linear Algebra
Schaum's Outline of Linear Algebra

This third edition of the successful outline in linear algebra--which sold more than 400,000 copies in its past two editions--has been thoroughly updated to increase its applicability to the fields in which linear algebra is now essential: computer science, engineering, mathematics, physics, and quantitative analysis. Revised coverage...

Learning Bayesian Models with R
Learning Bayesian Models with R

Become an expert in Bayesian Machine Learning methods using R and apply them to solve real-world big data problems

About This Book

  • Understand the principles of Bayesian Inference with less mathematical equations
  • Learn state-of-the art Machine Learning methods
  • Familiarize...
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