Learn IT - Books tags matlab

Multilinear Subspace Learning: Dimensionality Reduction of Multidimensional Data

CRC Press, 2013

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...

Numerical Methods for Engineers and Scientists Using MATLAB®

Routledge, 2013

Designed to benefit scientific and engineering applications, Numerical Methods for Engineers and Scientists Using MATLAB® focuses on the fundamentals of numerical methods while making use of MATLAB software. The book introduces MATLAB early on and incorporates it throughout the chapters to perform symbolic,...

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

CRC Press, 2012

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...

Circuit Analysis I: With MATLAB Applications

Orchard Publications, 2003

This text is an introduction to the basic principles of electrical engineering. It is the outgrowth of lecture notes prepared by this author while teaching for the electrical engineering and computer engineering departments at San José State University, DeAnza college, and the College of San Mateo,...

MATLAB Differential and Integral Calculus

Apress, 2014

MATLAB is a high-level 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 built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...

Introduction to Scientific Computing: A Matrix Vector Approach Using MATLAB

Prentice Hall, 1996

This book presents a unique approach for one semester numerical methods and numerical analysis courses. Well organized but flexible, the text is brief and clear enough for introductory numerical analysis students to "get their feet wet," yet comprehensive enough in its treatment of problems and applications for higher-level students to...

Numerical Techniques in Electromagnetics with MATLAB

CRC Press, 2009

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,...

Digital Signal Processing with Examples in MATLAB® (Electrical Engineering & Applied Signal Processing Series)

CRC Press, 2011

Based on fundamental principles from mathematics, linear systems, and signal analysis, digital signal processing (DSP) algorithms are useful for extracting information from signals collected all around us. Combined with today’s powerful computing capabilities, they can be used in a wide range of application areas, including...

MATLAB Matrix Algebra (Matlab Solutions)

Apress, 2014

Matrix Methods, Third Edition: Applied Linear Algebra

Academic Press, 2008

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...

Matrix computations and semiseparable matrices

Johns Hopkins, 2008

The general properties and mathematical structures of semiseparable matrices were presented in volume 1 of Matrix Computations and Semiseparable Matrices. In volume 2, Raf Vandebril, Marc Van Barel, and Nicola Mastronardi discuss the theory of structured eigenvalue and singular value computations for semiseparable matrices. These...

MATLAB Machine Learning Recipes: A Problem-Solution Approach

Apress, 2019

Harness the power of MATLAB to resolve a wide range of machine learning challenges. This book provides a series of examples of technologies critical to machine learning. Each example solves a real-world problem.

All code in MATLAB Machine Learning Recipes: A Problem-Solution Approach is executable....

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