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Mathematics --- Data processing. --- Computer programs. --- MATLAB. --- GNU Octave.
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Become a proficient Octave user by learning this high-level scientific numerical tool from the ground up
Numerical analysis --- Programming languages (Electronic computers) --- Data processing. --- GNU Octave
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Get a quick start to learn, understand, and implement GNU Octave in a math and programming-friendly approach. This book focuses on an end-to-end track to teach mathematical programming, data science, signal processing, and image processing with GNU Octave. GNU Octave by Example starts with an introduction to GNU Octave, a free and open-source alternative to MATLAB. Next, it explains the processes to install GNU Octave on popular operating systems such as Windows, Ubuntu, Raspberry Pi, and other platforms. Further, it covers hands-on exercises with GNU Octave exploring the basic functionality and command line in interactive mode. This is followed by covering matrices and various operations including how to read and analyze data from various sources. Moving forward, it introduces commonly used programming constructs in data visualization. It explains 2D and 3D data visualization along with data analysis. It also demonstrates the concepts related to geometry and its application with GNU Octave. It concludes with coverage of signal processing followed by image, video, and audio processing techniques. After reading this book, you will be able to write your own programs for scientific and numerical applications. You will: ● Understand the practical aspects of GNU Octave with math and programming-friendly abstractions ● Install GNU Octave on multiple platforms including Windows, Raspberry Pi, and Ubuntu ● Work with GNU Octave using the GUI, the command line, and Jupyter notebooks ● Implement 2D and 3D data visualization and analysis with GNU Octave.
Computer architecture. Operating systems --- Open Source --- computers --- Computer science --- Programming (Mathematics) --- Mathematics. --- GNU Octave.
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This book provides a self-contained introduction to the simulation of flow and transport in porous media, written by a developer of numerical methods. The reader will learn how to implement reservoir simulation models and computational algorithms in a robust and efficient manner. The book contains a large number of numerical examples, all fully equipped with online code and data, allowing the reader to reproduce results, and use them as a starting point for their own work. All of the examples in the book are based on the MATLAB Reservoir Simulation Toolbox (MRST), an open-source toolbox popular popularity in both academic institutions and the petroleum industry. The book can also be seen as a user guide to the MRST software. It will prove invaluable for researchers, professionals and advanced students using reservoir simulation methods. This title is also available as Open Access on Cambridge Core.
Hydrocarbon reservoirs --- Oil reservoir engineering --- Computer simulation. --- Data processing. --- MATLAB. --- GNU Octave. --- Petroleum engineering --- Reservoirs, Hydrocarbon --- Traps (Petroleum geology) --- Octave (Electronic resource) --- MATLAB (Computer program) --- Matrix laboratory --- MATLAB (Computer file) --- Civil engineering. --- Engineering geology. --- Environmental sciences. --- Geotechnical engineering. --- Petroleum.
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Get a quick start to learn, understand, and implement GNU Octave in a math and programming-friendly approach. This book focuses on an end-to-end track to teach mathematical programming, data science, signal processing, and image processing with GNU Octave. GNU Octave by Example starts with an introduction to GNU Octave, a free and open-source alternative to MATLAB. Next, it explains the processes to install GNU Octave on popular operating systems such as Windows, Ubuntu, Raspberry Pi, and other platforms. Further, it covers hands-on exercises with GNU Octave exploring the basic functionality and command line in interactive mode. This is followed by covering matrices and various operations including how to read and analyze data from various sources. Moving forward, it introduces commonly used programming constructs in data visualization. It explains 2D and 3D data visualization along with data analysis. It also demonstrates the concepts related to geometry and its application with GNU Octave. It concludes with coverage of signal processing followed by image, video, and audio processing techniques. After reading this book, you will be able to write your own programs for scientific and numerical applications. You will: ● Understand the practical aspects of GNU Octave with math and programming-friendly abstractions ● Install GNU Octave on multiple platforms including Windows, Raspberry Pi, and Ubuntu ● Work with GNU Octave using the GUI, the command line, and Jupyter notebooks ● Implement 2D and 3D data visualization and analysis with GNU Octave.
Open source software. --- Computer programming. --- Open Source. --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Free software (Open source software) --- Open code software --- Opensource software --- Computer software --- Programming --- Computer science --- Programming (Mathematics) --- Mathematics. --- Mathematical programming --- Goal programming --- Algorithms --- Functional equations --- Mathematical optimization --- Operations research --- Computer mathematics --- Mathematics --- GNU Octave.
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This book is a comprehensive set of articles reflecting on the application of symbolic and/or numerical computation in a range of scientific areas within the fields of engineering and science. These articles constitute extended versions of communications presented at the 4th International Conference on Numerical and Symbolic Computation—SYMCOMP 2019—that took place in Porto, Portugal, from 11 to 12 April 2019 The different chapters present diverse perspectives on the existing effective connections between mathematical methods and procedures and other knowledge areas. The intrinsic multidisciplinary character is visible throughout the whole book as a result of the applicability of the scope and the applications considered. The reader will find this book to be a useful resource for identifying problems of interest in different engineering and science areas, and in the development of mathematical models and procedures used in the context of prediction or verification computational tools as well as in the aided-learning/teaching context. This book is a must-read for anyone interested in the recent developments and applications of symbolic and numerical computation for a number of multidisciplinary engineering and science problems.
History of engineering & technology --- symbolic computation --- dynamic and interactive tool --- socio-economic sciences --- F-Tool concept --- PES(Linear)-Tool --- Wolfram Mathematica --- computable document format --- invariant functions --- contractions of algebras --- Lie algebras --- Malcev algebras --- Heisenberg algebras --- Tau method --- nonholonomic systems --- eigenvalue differential problems --- spectral methods --- Sturm–Liouville problems --- marketing innovation --- CIS 2014 --- multiple linear regression --- discriminant analysis --- numerical algorithms --- optimal control --- HIV/AIDS model --- GNU Octave --- open source code for optimal control through Pontryagin Maximum Principle --- Darcy --- Brinkman --- incompressible --- isogeometric analysis --- shear stress --- interstitial flow --- cancer --- NURBS --- n/a --- Sturm-Liouville problems
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This book is a comprehensive set of articles reflecting on the application of symbolic and/or numerical computation in a range of scientific areas within the fields of engineering and science. These articles constitute extended versions of communications presented at the 4th International Conference on Numerical and Symbolic Computation—SYMCOMP 2019—that took place in Porto, Portugal, from 11 to 12 April 2019 The different chapters present diverse perspectives on the existing effective connections between mathematical methods and procedures and other knowledge areas. The intrinsic multidisciplinary character is visible throughout the whole book as a result of the applicability of the scope and the applications considered. The reader will find this book to be a useful resource for identifying problems of interest in different engineering and science areas, and in the development of mathematical models and procedures used in the context of prediction or verification computational tools as well as in the aided-learning/teaching context. This book is a must-read for anyone interested in the recent developments and applications of symbolic and numerical computation for a number of multidisciplinary engineering and science problems.
symbolic computation --- dynamic and interactive tool --- socio-economic sciences --- F-Tool concept --- PES(Linear)-Tool --- Wolfram Mathematica --- computable document format --- invariant functions --- contractions of algebras --- Lie algebras --- Malcev algebras --- Heisenberg algebras --- Tau method --- nonholonomic systems --- eigenvalue differential problems --- spectral methods --- Sturm–Liouville problems --- marketing innovation --- CIS 2014 --- multiple linear regression --- discriminant analysis --- numerical algorithms --- optimal control --- HIV/AIDS model --- GNU Octave --- open source code for optimal control through Pontryagin Maximum Principle --- Darcy --- Brinkman --- incompressible --- isogeometric analysis --- shear stress --- interstitial flow --- cancer --- NURBS --- n/a --- Sturm-Liouville problems
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This book is a comprehensive set of articles reflecting on the application of symbolic and/or numerical computation in a range of scientific areas within the fields of engineering and science. These articles constitute extended versions of communications presented at the 4th International Conference on Numerical and Symbolic Computation—SYMCOMP 2019—that took place in Porto, Portugal, from 11 to 12 April 2019 The different chapters present diverse perspectives on the existing effective connections between mathematical methods and procedures and other knowledge areas. The intrinsic multidisciplinary character is visible throughout the whole book as a result of the applicability of the scope and the applications considered. The reader will find this book to be a useful resource for identifying problems of interest in different engineering and science areas, and in the development of mathematical models and procedures used in the context of prediction or verification computational tools as well as in the aided-learning/teaching context. This book is a must-read for anyone interested in the recent developments and applications of symbolic and numerical computation for a number of multidisciplinary engineering and science problems.
History of engineering & technology --- symbolic computation --- dynamic and interactive tool --- socio-economic sciences --- F-Tool concept --- PES(Linear)-Tool --- Wolfram Mathematica --- computable document format --- invariant functions --- contractions of algebras --- Lie algebras --- Malcev algebras --- Heisenberg algebras --- Tau method --- nonholonomic systems --- eigenvalue differential problems --- spectral methods --- Sturm-Liouville problems --- marketing innovation --- CIS 2014 --- multiple linear regression --- discriminant analysis --- numerical algorithms --- optimal control --- HIV/AIDS model --- GNU Octave --- open source code for optimal control through Pontryagin Maximum Principle --- Darcy --- Brinkman --- incompressible --- isogeometric analysis --- shear stress --- interstitial flow --- cancer --- NURBS
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