Learn IT - Books tags linear

Mathematica DeMYSTiFied

McGraw-Hill, 2008

Need to learn MATHEMATICA? Problem SOLVED!

Take full advantage of all the powerful capabilities of Mathematica with help from this hands-on guide. Filled with examples and step-by-step explanations, Mathematica Demystified takes you from your very first calculation all the way to plotting complex fractals.

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C++ Toolkit for Engineers and Scientists

Springer, 1999

This concise guide covers the fundamental aspects of the numerical analysis, basing upon it the construction of its routines for solving nonlinear equations, linear and nonlinear systems of equations, and eigenvalue problems. Focusing on software development, this book emphasizes software tools, OOP techniques for handling vectors, polynomials,...

Understanding Search Engines: Mathematical Modeling and Text Retrieval (Software, Environments, Tools), Second Edition

SIAM, 2005

“There is no other information retrieval/search book where the heart is the mathematical foundations. This book is greatly needed to further establish information retrieval as a serious academic, as well as practical and industrial, area." ---Jaime Carbonell, Carnegie Mellon University. “Berry and Browne describe most of what...

Introduction to Algorithms, Third Edition

MIT Press, 2009

Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. The book covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers. Each chapter is relatively...

Machine Learning for Mobile: Practical guide to building intelligent mobile applications powered by machine learning

Packt Publishing, 2018

Leverage the power of machine learning on mobiles and build intelligent mobile applications with ease

Key Features

Build smart mobile applications for Android and iOS devices

Use popular machine learning toolkits such as Core ML and TensorFlow Lite

Explore...

Inverse Problem Theory and Methods for Model Parameter Estimation

SIAM, 2004

‘Tarantola's book is undoubtedly the most important work on probabilistic inverse theory. It presents a complete theory where a physical parameter is represented, not by a number, but by a probability distribution.’ Klaus Mosegaard, Niels Bohr Institute

The use of actual observations to infer the properties of a...

$Good Math: A Geek's Guide to the Beauty of Numbers, Logic, and Computation (Pragmatic Programmers)$

Good Math: A Geek's Guide to the Beauty of Numbers, Logic, and Computation (Pragmatic Programmers)

Pragmatic Bookshelf, 2013

Mathematics is beautiful--and it can be fun and exciting as well as practical. Good Math is your guide to some of the most intriguing topics from two thousand years of mathematics: from Egyptian fractions to Turing machines; from the real meaning of numbers to proof trees, group symmetry, and mechanical computation. If you've ever...

Data Mining Using SAS Enterprise Miner (Wiley Series in Computational Statistics)

John Wiley & Sons, 2007

Data Mining Using SAS Enterprise Miner introduces the readers to data mining using SAS Enterprise Miner v4. This book will reveal the power and ease of use of the powerful new module in SAS that will introduce the readers to the various configuration settings and subsequent results that are generated from the various nodes in Enterprise Miner that...

Distributed Control of Robotic Networks: A Mathematical Approach to Motion Coordination Algorithms (Princeton Series in Applied Mathematics)

Princeton Press, 2009

This book covers its subject very thoroughly. The framework the authors have established is very elegant and, if it catches on, this book could be the primary reference for this approach. I don't know of any other book that covers this set of topics.
(Richard M. Murray, California Institute of Technology )

This...

Data Analysis and Graphics Using R: An Example-Based Approach

Cambridge University Press, 2010

Discover what you can do with R! Introducing the R system, covering standard regression methods, then tackling more advanced topics, this book guides users through the practical, powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display, and interpretation of data. The many worked examples, from...

Computer Explorations in Signals and Systems Using MATLAB

Prentice Hall, 1996

This book provides computer exercises for an undergraduate course on signals and linear systems. Such a course or sequence of courses forms an important part of most engineering curricula. This book was primarily designed as a companion to the second edition of Signals and Systems by Oppenheim and Willsky with Nawab. While the...

Signal Processing and Linear Systems

Oxford University Press, 2000

This text presents a comprehensive treatment of signal processing and linear systems suitable for juniors and seniors in electrical engineering. Based on B. P. Lathi's widely used book, Linear Systems and Signals, it features additional applications to communications, controls, and filtering as well as new chapters on analog and digital filters and...

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