Data-Driven Modeling & Scientific Computation : Methods for Complex Systems & Big Data
J. Nathan Kutz
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All of Statistics : A Concise Course in Statistical Inference
Larry Wasserman
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A First Course in the Numerical Analysis of Differential Equations
Arieh (University of Cambridge) Iserles
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Foundations of Signal Processing
Martin (Ecole Polytechnique Federale de Lausanne) Vetterli
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Prime Suspects : The Anatomy of Integers and Permutations
Andrew Granville
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An Introduction to Error Analysis, third edition : The study of uncertainties in physical measurements
John R (University of Colorado) Taylor
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Algorithmic Problem Solving
Roland (The University of Nottingham, UK) Backhouse
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An Introduction to Ergodic Theory
Peter Walters
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Algorithmic Composition : Paradigms of Automated Music Generation
Gerhard Nierhaus
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Dead Reckoning : Calculating Without Instruments
Ronald W. Doerfler
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Numerical Linear Algebra
Lloyd N. Trefethen
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Numerical Optimization
Jorge Nocedal
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The Finite Element Method: Theory, Implementation, and Applications
Mats G. Larson
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Guide to Competitive Programming : Learning and Improving Algorithms Through Contests
Antti Laaksonen
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Numerical Methods for Ordinary Differential Equations : Initial Value Problems
David F. Griffiths
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Data-Driven Modeling & Scientific Computation : Methods for Complex Systems & Big Data
J. Nathan Kutz
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First Course in the Numerical Analysis of Differential Equations
Arieh Iserles
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Verification and Validation in Scientific Computing
William L. Oberkampf
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Finite Element Analysis: Theory and Application with ANSYS, Global Edition
Saeed Moaveni
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An Introduction to the Numerical Simulation of Stochastic Differential Equations
Desmond J. Higham
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Probabilistic Numerics : Computation as Machine Learning
Philipp (Eberhard-Karls-Universitat Tubingen, Germany) Hennig
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