computational number theory

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Computational Number Theory (Discrete Mathematics and Its Applications)
Computational Number Theory (Discrete Mathematics and Its Applications)
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Computational Algebraic Number Theory: 21 (Oberwolfach Seminars, 21)
Computational Algebraic Number Theory: 21 (Oberwolfach Seminars, 21)
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A Course in Computational Algebraic Number Theory: 138 (Graduate Texts in Mathematics, 138)
A Course in Computational Algebraic Number Theory: 138 (Graduate Texts in Mathematics, 138)
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Elementary Number Theory: Primes, Congruences, and Secrets: A Computational Approach (Undergraduate Texts in Mathematics)
Elementary Number Theory: Primes, Congruences, and Secrets: A Computational Approach (Undergraduate Texts in Mathematics)
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A Course in Computational Algebraic Number Theory: 138 (Graduate Texts in Mathematics, 138)
A Course in Computational Algebraic Number Theory: 138 (Graduate Texts in Mathematics, 138)
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A Computational Introduction to Number Theory and Algebra
A Computational Introduction to Number Theory and Algebra
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Deep Dive into Number Theory with Python: Exploring Primes, Patterns, and the Mysteries Behind the Riemann Hypothesis through Computational Mathematics
Deep Dive into Number Theory with Python: Exploring Primes, Patterns, and the Mysteries Behind the Riemann Hypothesis through Computational Mathematics
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Cryptography and Computational Number Theory
Cryptography and Computational Number Theory
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Volterra Integral Equations: An Introduction to Theory and Applications: 30 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 30)
Volterra Integral Equations: An Introduction to Theory and Applications: 30 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 30)
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Learning Theory: An Approximation Theory Viewpoint: 24 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 24)
Learning Theory: An Approximation Theory Viewpoint: 24 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 24)
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Algebraic Geometry and Statistical Learning Theory: 25 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 25)
Algebraic Geometry and Statistical Learning Theory: 25 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 25)
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Minimal Cubature Rules: Theory and Practice: 45 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 45)
Minimal Cubature Rules: Theory and Practice: 45 (Cambridge Monographs on Applied and Computational Mathematics, Series Number 45)
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Computational Cryptography: Algorithmic Aspects of Cryptology: 469 (London Mathematical Society Lecture Note Series, Series Number 469)
Computational Cryptography: Algorithmic Aspects of Cryptology: 469 (London Mathematical Society Lecture Note Series, Series Number 469)
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Probability Theory: The Logic of Science: Principles and Elementary Applications Vol 1
Probability Theory: The Logic of Science: Principles and Elementary Applications Vol 1
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DeepAesthetics: Computational Experience in a Time of Machine Learning by Anna M
DeepAesthetics: Computational Experience in a Time of Machine Learning by Anna M
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