Learn IT - Books tags matlab

Applied Stochastic Differential Equations (Institute of Mathematical Statistics Textbooks)

Cambridge University Press, 2019

Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties that are useful in modeling uncertainties and noisy phenomena in many disciplines. This book is motivated by applications of stochastic differential equations in target tracking and medical...

Nonlinear Filtering: Methods and Applications

Springer, 2018

This book gives readers in-depth know-how on methods of state estimation for nonlinear control systems. It starts with an introduction to dynamic control systems and system states and a brief description of the Kalman filter. In the following chapters, various state estimation techniques for nonlinear systems are discussed, including...

Python for Data Science For Dummies (For Dummies (Computer/Tech))

For Dummies, 2015

Unleash the power of Python for your data analysis projectswith For Dummies!

Python is the preferred programming language for data scientistsand combines the best features of Matlab, Mathematica, and R intolibraries specific to data analysis and visualization. Pythonfor Data Science For Dummies shows you how to...

An Introduction to Numerical Methods: A MATLAB® Approach, Fourth Edition

CRC Press, 2018

Previous editions of this popular textbook offered an accessible and practical introduction to numerical analysis. An Introduction to Numerical Methods: A MATLAB^®Approach, Fourth Edition continues to present a wide range of useful and important algorithms for scientific and engineering applications. The authors...

Perceptual Computing: Aiding People in Making Subjective Judgments

John Wiley & Sons, 2010

Explains for the first time how "computing with words" can aidin making subjective judgments

Lotfi Zadeh, the father of fuzzy logic, coined the phrase"computing with words" (CWW) to describe a methodology in which theobjects of computation are words and propositions drawn from anatural language....

Linear Algebra and Probability for Computer Science Applications

CRC Press, 2012

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...

Genetic Algorithms in Electromagnetics

John Wiley & Sons, 2007

A thorough and insightful introduction to using genetic algorithms to optimize electromagnetic systems

Genetic Algorithms in Electromagnetics focuses on optimizing the objective function when a computer algorithm, analytical model, or experimental result describes the performance of an electromagnetic system. It...

The Finite Element Method: Theory, Implementation, and Applications (Texts in Computational Science and Engineering)

Springer, 2013

This book gives an introduction to the finite element method as a general computational method for solving partial differential equations approximately. Our approach is mathematical in nature with a strong focus on the underlying mathematical principles, such as approximation properties of piecewise polynomial spaces, and variational...

Numerical Methods in Engineering with MATLAB

Cambridge University Press, 2005

This book is targeted primarily toward engineers and engineering students of advanced
standing (sophomores, seniors and graduate students). Familiarity with a
computer language is required; knowledge of basic engineering subjects is useful, but
not essential.

The text attempts to place emphasis on numerical methods, not...

Mastering ROS for Robotics Programming - Second Edition: Design, build, and simulate complex robots using the Robot Operating System

Packt Publishing, 2018

Discover best practices and troubleshooting solutions when working on ROS

Key Features

Develop complex robotic applications using ROS to interface robot manipulators and mobile robots

Gain insight into autonomous navigation in mobile robots and motion planning in robot...

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....

Multivariable Control Systems: An Engineering Approach (Advanced Textbooks in Control and Signal Processing)

Springer, 2003

Multivariable control techniques solve issues of complex specification and modelling errors elegantly but the complexity of the underlying mathematics is much higher than presented in traditional single-input, single-output control courses.

Multivariable Control Systems focuses on control...

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