Identifiant pérenne de la notice : 275458601
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Note publique d'information : This book aims to introduce graduate students to the many applications of numerical
computation, explaining in detail both how and why the included methods work in practice.
The text addresses numerical analysis as a middle ground between practice and theory,
addressing both the abstract mathematical analysis and applied computation and programming
models instrumental to the field. While the text uses pseudocode, Matlab and Julia
codes are available online for students to use, and to demonstrate implementation
techniques. The textbook also emphasizes multivariate problems alongside single-variable
problems and deals with topics in randomness, including stochastic differential equations
and randomized algorithms, and topics in optimization and approximation relevant to
machine learning. Ultimately, it seeks to clarify issues in numerical analysis in
the context of applications, and presenting accessible methods to students in mathematics
and data science. .
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