Learn IT - Books tags matlab

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...

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...

Graph-Based Clustering and Data Visualization Algorithms (SpringerBriefs in Computer Science)

Springer, 2013

This work presents a data visualization technique that combines graph-based topology representation and dimensionality reduction methods to visualize the intrinsic data structure in a low-dimensional vector space. The application of graphs in clustering and visualization has several advantages. A graph of important edges (where edges...

Julia 1.0 Programming: Dynamic and high-performance programming to build fast scientific applications, 2nd Edition

Packt Publishing, 2018

Enter the exciting world of Julia, a high-performance language for technical computing

Key Features

Leverage Julia's high speed and efficiency for your applications

Work with Julia in a multi-core, distributed, and networked environment

Apply Julia to...

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...

Introduction to Octave: For Engineers and Scientists

Apress, 2017

Familiarize yourself with Octave using this concise, practical tutorial that is focused on writing code to learn concepts. Starting from the basics, this book covers array-based computing, plotting, and working with files in Octave, which can run MATLAB files without modification. Introduction to Octave is useful...

Statistics for Bioengineering Sciences: With MATLAB and WinBUGS Support (Springer Texts in Statistics)

Apress, 2011

Through its scope and depth of coverage, this book addresses the needs of the vibrant and rapidly growing engineering fields, bioengineering and biomedical engineering, while implementing software that engineers are familiar with.

The author integrates introductory statistics for engineers and introductory...

Numerical Methods Using MATLAB (3rd Edition)

Prentice Hall, 1998

This introduction to numerical analysis shows how the mathematics of calculus and linear algebra are implemented in computer algorithms. It develops a deep understanding of why numerical methods work and exactly what their limitations are....

Automatic Control of Atmospheric and Space Flight Vehicles: Design and Analysis with MATLAB® and Simulink® (Control Engineering)

Birkhauser, 2011

The main purpose of writing this book is to present a unified approach for automatic control of atmospheric and space flight vehicles. Such an outlook has become more necessary nowthan ever,with the advent of aerospace vehicleswhose singlemission covers operation as aircraft, rocket, and spacecraft at various instants....

A New Hypothesis on the Anisotropic Reynolds Stress Tensor for Turbulent Flows: Volume II: Practical Implementation and Applications of an Anisotropic ... (Fluid Mechanics and Its Applications, 125)

Springer, 2020

This self-contained, interdisciplinary book encompasses mathematics, physics, computer programming, analytical solutions and numerical modelling, industrial computational fluid dynamics (CFD), academic benchmark problems and engineering applications in conjunction with the research field of anisotropic turbulence. It focuses on theoretical...

Computational Methods for Deep Learning: Theoretic, Practice and Applications (Texts in Computer Science)

Springer, 2020

Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence. It adopts the methodology from graphical theory, mathematical...

Computer-Based Analysis of the Stochastic Stability of Mechanical Structures Driven by White and Colored Noise (SpringerBriefs in Applied Sciences and Technology)

Springer, 2019

This book provides a concise introduction to the behavior of mechanical structures and testing their stochastic stability under the influence of noise. It explains the physical effects of noise and in particular the concept of Gaussian white noise. In closing, the book explains how to model the effects of noise on mechanical...

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