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subject:"Mathematics Applied" from books.google.com
Numerical Linear Algebra is a concise, insightful, and elegant introduction to the field of numerical linear algebra.
subject:"Mathematics Applied" from books.google.com
In How Not to Be Wrong, Jordan Ellenberg shows us how terribly limiting this view is: Math isn’t confined to abstract incidents that never occur in real life, but rather touches everything we do—the whole world is shot through with it.
subject:"Mathematics Applied" from books.google.com
The learning strategies in this book apply not only to math and science, but to any subject in which we struggle.
subject:"Mathematics Applied" from books.google.com
As best-selling author Charles Wheelan shows us in Naked Statistics, the right data and a few well-chosen statistical tools can help us answer these questions and more. For those who slept through Stats 101, this book is a lifesaver.
subject:"Mathematics Applied" from books.google.com
The tenth edition of this bestselling text includes examples in more detail and more applied exercises; both changes are aimed at making the material more relevant and accessible to readers.
subject:"Mathematics Applied" from books.google.com
This rich collection of fully worked problems in many areas of mathematics covers all the important subjects students are likely to encounter in their courses, from introductory to final-year undergraduate classes.
subject:"Mathematics Applied" from books.google.com
Just as James Gleick and the Erdos-Réi model brought the discovery of chaos theory to the general public, Linked tells the story of the true science of the future and of experiments in statistical mechanics on the internet, all vital parts ...
subject:"Mathematics Applied" from books.google.com
Suitable for self study Use real examples and real data sets that will be familiar to the audience Introduction to the bootstrap is included – this is a modern method missing in many other books Probability and Statistics are studied by ...
subject:"Mathematics Applied" from books.google.com
Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the ...
subject:"Mathematics Applied" from books.google.com
This second edition expands and updates the coverage of the first edition (1996) and includes numerous improvements to the original material.