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The purpose of this book is to document and explain how to: • interact with a patient as their doctor • take a history from a patient • examine a patient • formulate your findings into differential diagnoses • rank these in order of probability • use investigations to support or refute your differential diagnosis. Initially, when you approach a section, we suggest that you glance through it quickly, looking at the headings and how it is laid out. This will help you to...

Fractional derivatives, unlike those of natural order, have “memory” and are useful to model systems where the past history is relevant. They are defined by means of integral operators, some of them having singular kernels, and calculations may be difficult. It is for that reason that it is necessary to develop numerical approximation methods to solve most of real problems. In this work we combine the wavelet transform with the fractional derivatives of a particular wavelet basis, by m...