This book is about how to use SageMath for learning and doing mathematics, filled with many carefully thought through examples and exercises, and great care has been taken to put computational functionality into proper mathematical context.

This book is a gentle introduction to SageMath for undergraduate students toward the end of Calculus or higher-level course work such as Multivariate Calculus, Differential Equations, Linear Algebra, or Math Modeling.

This tutorial is the best way to become familiar with SageMath in only a few hours. It explains how to use the free and open source mathematical software package Sage. Both binaries and source code are available for SageMath from the download page.

Starting from first principles, this book covers all of the foundational material needed to develop a clear understanding of the Mathematica® language, with a practical emphasis on solving problems.

This book unpacks Mathematica® for programmers, building insights into programming style via real world syntax, real world examples, and extensive parallels to other languages.

Mathematica® is very powerful programming language and invaluable to anyone interested in engineering without cost. This ebook is for the novice just getting started with Mathematica and consists of worked examples.

This book provides an elementary introduction to the Wolfram Language and modern computational thinking. The Wolfram Language represents a major advance in programming languages that makes leading-edge computation accessible to everyone.

This book offers a concise and gentle introduction to finite element programming in Python based on the popular FEniCS software library. Using a series of examples, it guides readers through the essential steps to quickly solving a PDE in FEniCS.

This book is both a reference guide and a text for a course on Applied Mathematical Programming. The material presented will concentrate upon conceptual issues, problem formulation, computerized problem solution, and results interpretation.

This book is a complete guide to AMPL for modelers at all levels of experience. It begins with a tutorial on widely used linear programming models, and presents all of AMPL's features for linear programming with extensive examples.

This is is a supplement in discrete mathematics to concentrate on the computational aspects of the computer algebra system Maple. Detailed instructions for the use of Maple are included in an introductory chapter and in each subsequent chapter.

LEDA is a library of efficient data types and algorithms and a platform for combinatorial and geometric computing. This book, written by the main authors of LEDA, is the definitive account of how the system operates and how it can be used.

This book provides an introduction to the Coq software for writing and checking mathematical proofs. It takes a practical engineering focus throughout, emphasizing techniques that will help users to build, understand, and maintain large Coq code changes.

This is a textbook for an upper-level number theory course, with a clear vision to expose students to the connections to all areas of mathematics, and nearly every concept can be visualized or experimented with using the mathematics software SageMath.

This is a book about prime numbers, congruences, secret messages, and elliptic curves that you can read cover to cover. Many numerical examples are given throughout the book using the SageMath mathematical software.

This book aims to express properties of graphs in algebraic terms, then to deduce theorems about them. It tackles the applications of linear algebra and matrix theory to the study of graphs; algebraic constructions such as adjacency matrix, using the SageMath.

This is an introductory book on algorithmic graph theory. Theory and algorithms are illustrated using the Sage open source mathematics software. It's especially suitable for computer scientists and mathematicians interested in computational complexity.

The subject matter of this book is to present the procedural steps required for modeling and simulating the basic dynamic system problems in SIMULINK (a supplementary part of MATLAB)

This book goes from simple or distributed control software to modeling done in LabVIEW to very specific applications to usage in the educational environment. It enables programming by implementing directly the equivalent of an SADT "actigram".

The book gives the reader a technical introduction to AXIOM, interacts with the system's tutorial, accesses algorithms newly developed by the symbolic computation community, and presents advanced programming and problem solving techniques.

This book presents algorithmic tools for algebraic geometry and experimental applications of them. Macaulay 2 is a computer algebra system devoted to supporting research in algebraic geometry, commutative algebra, and their applications.

This book provides an introduction to the design of the LAPACK95 package, a detailed description of its contents, reference manuals for the leading comments of the routines, and example programs.

This free book provides an introduction to the design of the LAPACK package, a detailed description of its contents, reference manuals for the leading comments of the routines, and example programs

A unique feature of this book is its integration with the statistical software package SAS® (Statistical Analysis System) computing environment. Basic applied statistics is assumed through multiple regression.

This book provides conceptual information about SAS® software along with step-by-step examples that illustrate the concepts. It answers every question that a new or intermediate SAS® user might have. Examples are thorough, readable, and clear.

Gain insight on SAS® solutions and analytics technology with a collection of free e-books, includes Artificial Intelligence, Machine Learning, Computer Vision, Natural Language Processing, Programming for R Users, etc.

This book presents computer programming as a key method for solving mathematical problems using MATLAB and Octave. It is intended for novice programmers and engineers. Each treated concept is illustrated and explained in detail by means of working examples.

The goal of this book is to provide you with skills in scientific computing: tools and techniques that you can use in your own scientific research. We will focus on learning to think about experiments and data in a computational framework.

This book provides an excellent initiation into programming in MATLAB while serving as a teaser for more advanced topics. It provides a structured entry into MATLAB programming through well designed exercises.

The book presents several approaches in the key areas of practice for which the MATLAB software package was used. Topics covered include applications for: Motors, Power systems , Robots, Vehicles.

Learn the essential skills needed to use the flexible MATLAB system. You will be able to apply the highly modular system towards the purposes you need by harnessing the power of its different toolboxes.

This book presents a collection of MATLAB-based chapters of various engineering background. Instead of giving exhausting amount of technical details, authors were rather advised to explain relations of their problems to actual MATLAB concepts.

This book is a collection of diverse applications of MATLAB. Each chapter presents a novel application and use of MATLAB for a specific result. MATLAB isn't everything to a practicing engineer, its just most everything.

This book is a lively textbook for an introductory course in numerical methods, MATLAB, and technical computing. It helps readers learn enough about the mathematical functions in MATLAB to use them correctly, and modify them appropriately, etc.

It covers the fundamentals while emphasizing the most essential numerical methods. Readers will enhance their programming skills using MATLAB to implement algorithms, discover how to use MATLAB to solve problems in science and engineering.

Written for beginners, this book provides an introduction to programming in MATLAB and simulation of physical systems. you will learn some programming, some modeling, and some simulation.

This is an authoritative guide to generating readable, compact, and verifiably correct MATLAB programs. It is ideal for undergraduate engineering courses in Mechanical, Aeronautical, Civil, and Electrical engineering that require/use MATLAB.

This is the 1st book in a three-volume series deploying MATLAB-based applications in almost every branch of science. This volume covers topics from different areas of engineering, signal and image processing based on the MATLAB environment.

This is the 2nd book in a three-volume series. This volumehe covers topics electronic engineering and computer science, MATLAB/SIMULINK as a tool for engineering applications, and telecommunication and communication systems.

This is the 3rd book in a three-volume series. This volume consists of mathematical methods in the applied sciences by using MATLAB, MATLAB applications of general interest, and MATLAB for educational purposes.

The book covers the basic aspects of linear single loop feedback control theory. Explanations of the mathematical concepts used in classical control such as root loci, frequency response and stability methods are explained by making use of MATLAB.

This book is for both students and engineers with wide range of applications in which MATLAB is the working framework, shows that it is a powerful, comprehensive and easy-to-use environment for performing technical computations.

This book presents research works using MATLAB tools, including techniques for programming and developing GUI, dynamic systems, electric machines, signal and image processing, power electronics, mixed signal circuits, genetic programming, etc.

The book illustrates a wide range of areas where MATLAB tools are applied, including mathematics, physics, chemistry, mechanical engineering, biological and medical sciences, communication and control systems, digital signal, etc.

The purpose of this book is to present 10 scientific and engineering works whose numerical and graphical analysis were all constructed using the power of MATLAB tools.

It provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, dimensionality reduction, time-series forecasting, and dynamic system modeling and control.

This book will provide the reader with an understanding of biological signals and digital signal analysis techniques such as conditioning, filtering, classification and statistical validation for solving practical biological signal analysis problems using MATLAB.