Titlebook: Numerical Python; A Practical Techniqu Robert Johansson Book 20151st edition Robert Johansson 2015 Python.numerical.NumPy.SciPy.computation

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Robert Johansson 2015

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Vectors, Matrices, and Multidimensional Arrays,values, it is natural and advantageous to represent the data as arrays and the computation in terms of array operations. Computations that are formulated this way are said to be vectorized. Many modern processors provide instructions that operate on arrays. These are also known as vectorized operati

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Symbolic Computing,In symbolic computing software, also known as computer algebra systems (CASs), representations of mathematical objects and expressions are manipulated and transformed analytically. Symbolic computing is mainly about using computers to automate analytical computations that can in principle be done by

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Interpolation,uld exactly coincide with the given data points, and it can also be evaluated for other intermediate input values within the sampled range. There are many applications of interpolation: A typical use-case that provides an intuitive picture is the plotting of a smooth curve through a given set of dat

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Integration, is also known as .. Integration is significantly more difficult than its inverse operation – differentiation – and while there are many examples of integrals that can be calculated symbolically, in general we have to resort to numerical methods. Depending on the properties of the integrand (the fun

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Ordinary Differential Equations,rential equations. An . differential equation is the special case where the unknown function has only one independent variable with respect to which derivatives occur in the equation. If, on the other hand, derivatives of more than one variable occur in the equation, then it is known as a . differen

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