Titlebook: Introduction to Scientific Computing and Data Analysis; Mark H. Holmes Textbook 20161st edition Springer International Publishing Switzerl

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Solving A Nonlinear Equation,In this chapter one of the more common mathematical problems is studied, which is to find the solution, or solutions, of an equation of the form .(.) = 0. To illustrate the situation, we begin with a few examples.

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Optimization,The problem central to this chapter is easy to state: given a function .(.), find the point . where . achieves its minimum value.

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Dealing

Matrix Equations,, ., and ., are matrices with nice, easy to compute with, properties. The time-consuming computational step is finding the factorization. There are many useful factorizations, and a listing of some considered in this text can be found in the index.

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Interpolation,examples are shown in Figure 5.1. Figure 5.1(L) contains data obtained from measurements of high redshift type supernovae. As is often the case with computerized testing systems, there are many data points and there is some scatter in the values obtained.

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1611-0994 regression, both principal and independent component analysiThis textbook provides and introduction to numerical computing and its applications in science and engineering.  The topics covered include those usually found in an introductory course, as well as those that arise in data analysis.  This i

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