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Mathematical Methods With Matlab
FJD 92
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Unlock the full potential of MATLAB with comprehensive insights into numerical analysis and symbolic calculations, ensuring you're equipped to tackle complex mathematical problems efficiently.
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Product Details
- The objective of this book is to present the work with mathematical methods through MATLAB, both numerical analysis methods and symbolic calculation methods. The book begins by explaining the MATLAB language including working with operators, variables, and functions. Below are the elements of the MATLAB programming language including working with m-files, scripts, and control-flow statements. An essential part of the content is the functions and algorithms for numerical analysis in MATLAB, including solving equations and systems, optimization, differentiation, integration, ordinary differential equations, and partial differential equations. Finally, the symbolic calculation methods are developed in MATLAB, including variables, functions, mathematical analysis, limits, continuity, numerical series, power series, derivatives, integrals, differential equations and linear algebra methods.or intrinsic structures in input data. Supervised learning uses classification and regression techniques to develop predictive models. MATLAB has the tool Deep Learning Toolbox (Neural Network Toolbox for versions before 18) that provides algorithms, functions, and apps to create, train, visualize, and simulate neural networks. You can perform classification, regression, clustering, pattern recognition, dimensionality reduction, time-series forecasting, dynamic system modeling and control and most machine learning techniques. To speed up training of large data sets, you can distribute computations and data across multicore processors, GPUs, and computer clusters using Parallel Computing Toolbox.
| Publisher | Scientific Books |
| Publication date | March 17, 2021 |
| Language | English |
| Print length | 225 pages |
| ISBN-10 | 1678090581 |
| ISBN-13 | 978-1678090586 |
| Item Weight | 14.2 ounces (402.57 grams) |
| Dimensions | 6 x 0.51 x 9 inches (15.2 x 1.3 x 22.9 cm) |
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Mathematical Methods With Matlab
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Features & Benefits
- Comprehensive guide to MATLAB for both numerical and symbolic methods.
- Covers essential MATLAB programming elements including operators, variables, and functions.
- Focuses on numerical analysis techniques such as optimization, differentiation, and integration.
- Includes detailed explanations of solving ordinary and partial differential equations.
- Teaches symbolic calculation methods applicable for various mathematical analyses.
- Equips users with tools for machine learning, deep learning, and parallel computing.
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