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Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data
Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data

Due to advances in sensor, storage, and networking technologies, data is being generated on a daily basis at an ever-increasing pace in a wide range of applications, including cloud computing, mobile Internet, and medical imaging. This large multidimensional data requires more efficient dimensionality reduction schemes than the traditional...

Lean Problem Solving and QC Tools for Industrial Engineers
Lean Problem Solving and QC Tools for Industrial Engineers

The manufacturing and service sector needs to resolve a lot of issues relating to products, process and service in everyday operation. Successful resolution depends on the methodology, rigor and systematic implementation techniques. The essential purpose of this book is to impart the necessary knowledge to the reader about concepts...

Epigenetics and Assisted Reproduction: An Introductory Guide
Epigenetics and Assisted Reproduction: An Introductory Guide

Epigenetics is the study of how certain genes are activated without modification at the DNA sequence level, resulting in genetically similar individuals having different clinical outcomes. As contemporary medicine increasingly aims to personalize the medical approach to a patient's genetic profile, the factors that can affect...

Quantum Mechanics: A Simplified Approach
Quantum Mechanics: A Simplified Approach

Quantum mechanics is one of the most challenging subjects to learn. It is challenging because quantum phenomenon is counterintuitive, and the mathematics used to explain such a phenomenon is very abstract, and difficult to grasp. This textbook is an attempt to overcome these challenges. Every chapter presents quantum ideas step- by-...

Core Principles of Special and General Relativity
Core Principles of Special and General Relativity

This book provides an accessible, yet thorough, introduction to special and general relativity, crafted and class-tested over many years of teaching. Suitable for advanced undergraduate and graduate students, this book provides clear descriptions of how to approach the mathematics and physics involved. It is also contains the latest...

Bayesian Hierarchical Models: With Applications Using R, Second Edition
Bayesian Hierarchical Models: With Applications Using R, Second Edition

An intermediate-level treatment of Bayesian hierarchical models and their applications, this book demonstrates the advantages of a Bayesian approach to data sets involving inferences for collections of related units or variables, and in methods where parameters can be treated as random collections. Through illustrative data analysis...

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis
Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision theory from a statistical perspective. It covers both traditional approaches, in terms of value theory and expected utility theory, and recent developments, in terms of causal...

MATLAB with Applications to Engineering, Physics and Finance
MATLAB with Applications to Engineering, Physics and Finance

Master the tools of MATLAB through hands-on examples
Shows How to Solve Math Problems Using MATLAB

The mathematical software MATLAB® integrates computation, visualization, and programming to produce a powerful tool for a number of different tasks in mathematics. Focusing on the...

Hidden Markov Models for Time Series: An Introduction Using R (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)
Hidden Markov Models for Time Series: An Introduction Using R (Chapman & Hall/CRC Monographs on Statistics & Applied Probability)

Reveals How HMMs Can Be Used as General-Purpose Time Series Models

Implements all methods in R
Hidden Markov Models for Time Series: An Introduction Using R applies hidden Markov models (HMMs) to a wide range of time series types, from continuous-valued, circular, and
...

Computer-Aided Control Systems Design: Practical Applications Using MATLAB® and Simulink®
Computer-Aided Control Systems Design: Practical Applications Using MATLAB® and Simulink®

Computer-Aided Control Systems Design: Practical Applications Using MATLAB® and Simulink® supplies a solid foundation in applied control to help you bridge the gap between control theory and its real-world applications. Working from basic principles, the book delves into control systems...

Linear Algebra and Probability for Computer Science Applications
Linear Algebra and Probability for Computer Science Applications

Based on the author’s course at NYU, Linear Algebra and Probability for Computer Science Applications gives an introduction to two mathematical fields that are fundamental in many areas of computer science. The course and the text are addressed to students with a very weak mathematical background. Most of the...

Electric Machines: Steady State, Transients, and Design with MATLAB®
Electric Machines: Steady State, Transients, and Design with MATLAB®

Ubiquitous in daily life, electric motors/generators are used in a wide variety of applications, from home appliances to internal combustion engines to hybrid electric cars. They produce electric energy in all electric power plants as generators and motion control that is necessary in all industries to increase productivity, save...

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