



Numerical Techniques in Electromagnetics with MATLAB
Despite the dramatic growth in the availability of powerful computer resources, the EM community lacks a comprehensive text on the computational techniques used to solve EM problems. The first edition of Numerical Techniques in Electromagnetics filled that gap and became the reference of choice for thousands of engineers,...   Solving Odes with Matlab
This book is a text for a onesemester course for upperlevel undergraduates and beginning graduate students in engineering, science, and mathematics. Prerequisites are a first course in the theory of ODEs and a survey course in numerical analysis, in addition to specific programming experience, preferably in MATLAB, and knowledge of...   Matrix Algorithms, Volume IThis book, Basic Decompositions, is the first volume in a projected fivevolume series entitled Matrix Algorithms. The other four volumes will treat eigensystems, iterative methods for linear systems, sparse direct methods, and special topics, including fast algorithms for structured matrices.
My intended audience is the nonspecialist... 

Handbook of Time Series Analysis, Signal Processing, and Dynamics
It is hoped that this book will serve both as a text in timeseries analysis and signal processing and as a reference book for research workers and practitioners. Timeseries analysis and signal processing are two subjects which ought to be treated as one; and they are the concern of a wide range of applied disciplines including statistics,...   A Matrix Handbook for Statisticians (Wiley Series in Probability and Statistics)A comprehensive, musthave handbook of matrix methods with a unique emphasis on statistical applications
This timely book, A Matrix Handbook for Statisticians, provides a comprehensive, encyclopedic treatment of matrices as they relate to both statistical concepts and methodologies. Written by an experienced authority on matrices and...   MATLAB Linear Algebra
MATLAB is a highlevel language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and builtin math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or... 

Learning Analytics in R with SNA, LSA, and MPIA
This book introduces Meaningful Purposive Interaction Analysis (MPIA) theory, which combines social network analysis (SNA) with latent semantic analysis (LSA) to help create and analyse a meaningful learning landscape from the digital traces left by a learning community in the coconstruction of knowledge.
...   Matrix Methods, Third Edition: Applied Linear Algebra
Matrix Methods: Applied Linear Algebra, 3e, as a textbook, provides a unique and comprehensive balance between the theory and computation of matrices. The application of matrices is not just for mathematicians. The use by other disciplines has grown dramatically over the years in response to the rapid changes in technology. Matrix methods is...   Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach
A comprehensive treatment of modelbased fuzzy control systems
This volume offers full coverage of the systematic framework for the stability and design of nonlinear fuzzy control systems. Building on the TakagiSugeno fuzzy model, authors Tanaka and Wang address a number of important issues in fuzzy control systems, including... 



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