Scientific Computing : For Scientists and Engineers
Timo Heister
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Ovidiu Bagdasar
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Basic Elements of Computational Statistics
Wolfgang Karl Hardle
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Statistical Field Theory for Neural Networks
Moritz Helias
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Add to BasketUnderstand Mathematics, Understand Computing : Discrete Mathematics That All Computing Students Should Know
Arnold L. Rosenberg
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An Introduction to Machine Learning
Miroslav Kubat
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Chinese Remainder Theorem: Applications In Computing, Coding, Cryptography
Pei Dingyi Pei
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Computational Methods In Quantum Chemistry, Volume 2: Quantum Chemistry
Evans Myron W Evans
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Linear Algebra And Optimization With Applications To Machine Learning - Volume I: Linear Algebra For Computer Vision, Robotics, And Machine Learning
Jean H (Univ Of Pennsylvania, Usa) Gallier
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Adrian Barbu
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Graph Algorithms for Data Science : With examples in Neo4j
Tomaz Bratanic
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Discrete Mathematics : A Concise Introduction
George Tourlakis
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Matrix Algebra : Theory, Computations and Applications in Statistics
James E. Gentle
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Petri Net Primer : A Compendium on the Core Model, Analysis, and Synthesis
Eike Best
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Modern Fortran Explained : Incorporating Fortran 2023
Michael Metcalf
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Proven Impossible : Elementary Proofs of Profound Impossibility from Arrow, Bell, Chaitin, Godel, Turing and More
Dan Gusfield
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Proven Impossible : Elementary Proofs of Profound Impossibility from Arrow, Bell, Chaitin, Godel, Turing and More
Dan (University of California, Davis) Gusfield
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Add to BasketProven Impossible : Elementary Proofs of Profound Impossibility from Arrow, Bell, Chaitin, Godel, Turing and More
Dan (University of California, Davis) Gusfield
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Computational Calculus : A Numerical Companion to Elementary Calculus
William C. Bauldry
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Cosmic Rays : Multimessenger Astrophysics and Revolutionary Astronomy
Alessandro De Angelis
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