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Titlebook: MATLAB Symbolic Algebra and Calculus Tools; César Pérez López Book 2014 Cesar Lopez 2014

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書目名稱MATLAB Symbolic Algebra and Calculus Tools
編輯César Pérez López
視頻videohttp://file.papertrans.cn/621/620062/620062.mp4
圖書封面Titlebook: MATLAB Symbolic Algebra and Calculus Tools;  César Pérez López Book 2014 Cesar Lopez 2014
描述.MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or traditional programming languages, such as C/C++ or Java..MATLAB Symbolic Algebra and Calculus Tools. introduces you to the MATLAB language with practical hands-on instructions and results, allowing you to quickly achieve your goals. Starting with a look at symbolic variables and functions, you will learn how to solve equations in MATLAB, both symbolically and numerically, and how to simplify the results. Extensive coverage of polynomial solutions, inequalities and systems of equations are covered in detail. You will see how MATLAB incorporates vector, matrix and character variables, and functions thereof. MATLAB is a powerful symbolic manipulator which enables you to factorize, expand and simplify complex algebraic expressions over all common fields (including over finite fields and algebraic field extensions of the rational numbers). With MA
出版日期Book 2014
版次1
doihttps://doi.org/10.1007/978-1-4842-0343-9
isbn_softcover978-1-4842-0344-6
isbn_ebook978-1-4842-0343-9
copyrightCesar Lopez 2014
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César Pérez López knowledge of the whole economic system and amounts to the ability of computing the global inverse of the mean error function. The static nature of this error function, however, opens up the possibility to estimate and approximate unbiased forecasting rules from historical data, whenever they exist.
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César Pérez López knowledge of the whole economic system and amounts to the ability of computing the global inverse of the mean error function. The static nature of this error function, however, opens up the possibility to estimate and approximate unbiased forecasting rules from historical data, whenever they exist.
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