Learn IT - Books tags matrices

Numerical and Analytical Methods with MATLAB (Applied and Computational Mechanics)

CRC Press, 2009

Numerical and Analytical Methods with MATLAB presents extensive coverage of the MATLAB programming language for engineers. It demonstrates how the built-in functions of MATLAB can be used to solve systems of linear equations, ODEs, roots of transcendental equations, statistical problems, optimization problems, control systems problems, and...

Seamless R and C++ Integration with Rcpp (Use R!)

Springer, 2013

Rcpp is the glue that binds the power and versatility of R with the speed and efficiency of C++. With Rcpp, the transfer of data between R and C++ is nearly seamless, and high-performance statistical computing is finally accessible to most R users. Rcpp should be part of every statistician's toolbox. -- Michael...

Introduction to Finite Element Analysis Using MATLAB® and Abaqus

CRC Press, 2013

There are some books that target the theory of the finite element, while others focus on the programming side of things. Introduction to Finite Element Analysis Using MATLAB® and Abaqus accomplishes both. This book teaches the first principles of the finite element method. It presents the theory of the finite...

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,...

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,...

Algorithms in Combinatorial Design Theory (Mathematics Studies)

Elsevier Limited, 1985

Recent years have seen an explosive growth in research in combinatorics and graph theory. One primary factor in this rapid development has been the advent of computers, and the parallel study of practical and efficient algorithms. This volume represents an attempt to...

Circuit Analysis I with MATLAB Computing and Simulink/SimPowerSystems Modeling

Orchard Publications, 2009

This text is an introduction to the basic principles of electrical engineering and covers DC and AC circuit analysis and Transients. It is intended for all engineering majors and presumes knowledge of first year differential and integral calculus and physics. The last two chapters include step-by-step procedures for the solutions of simple...

Problems & Solutions In Scientific Computing With C++ And Java Simulations

World Scientific Publishing, 2004

Scientific computing is a collection of tools, techniques and theories required to develop and solve mathematical models in science and engineering on a computer. This timely book provides the various skills and techniques needed in scientific computing. The topics range in difficulty from elementary to advanced, and all the latest fields in...

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...

Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and Matplotlib

Apress, 2018

Leverage the numerical and mathematical modules in Python and its standard library as well as popular open source numerical Python packages like NumPy, SciPy, FiPy, matplotlib and more. This fully revised edition, updated with the latest details of each package and changes to Jupyter projects, demonstrates how to numerically compute...

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...

Python Graphics: A Reference for Creating 2D and 3D Images

Apress, 2018

Use Python's built-in features to create innovative graphics for data visualization and technical illustrations. This book goes beyond simple commands and libraries to explain how to not only display but also rotate, shade, and edit graphics for any purpose.

Starting with the essential Python functions to set up a...

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