An Introduction to General Relativity and Cosmology
Jerzy (National Polytechnic Institute of Mexico) Plebanski
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An Introduction to General Relativity and Cosmology
Jerzy (National Polytechnic Institute of Mexico) Plebanski
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Quantum Geometry, Matrix Theory, and Gravity
Harold C. (Universitat Wien, Austria) Steinacker
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Quantum Geometry, Matrix Theory, and Gravity
Harold C. (Universitat Wien, Austria) Steinacker
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Theory of Elastic Wave Propagation and its Application to Scattering Problems
Terumi (Tokyo University of Science, Japan) Touhei
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Computational Physics with R
James (University of Bath, Bath, UK) Foadi
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Mathematical Methods for Cryocoolers
Hannah (University of Oxford (United Kingdom)) Rana
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Astronomical Python : An introduction to modern scientific programming
Imad Pasha
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Integrability using the Sine-Gordon and Thirring Duality : An introductory course
Alessandro (University of Surrey) Torrielli
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Usama (University of Jordan, Amman, Jordan) Al Khawaja
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Mathematical Methods using Python : Applications in Physics and Engineering
Vasilis (McDaniel College, Westminster, MD, USA) Pagonis
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Probabilistic Models of Cosmic Backgrounds
Anatoliy (Malardalen University, Vasteras, Sweden) Malyarenko
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Electrodynamics Tutorials with Python Simulations
Taejoon Kouh
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Exploring Chemical Concepts Through Theory and Computation
Shubin (University of North Carolina at Chapel Hill) Liu
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Mathematical Geosciences : Hybrid Symbolic-Numeric Methods
Joseph L. Awange
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Self-Adjoint Extension Schemes and Modern Applications to Quantum Hamiltonians
Matteo Gallone
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Quantum and Stochastic Mathematical Physics : Sergio Albeverio, Adventures of a Mathematician, Verona, Italy, March 25–29, 2019
Astrid Hilbert
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The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume III : Overcoming the Curse of Dimensionality: Nonlinear Systems
Dan Gabriel Cacuci
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The Material Point Method : Theory, Implementations and Applications
Vinh Phu Nguyen
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Artificial Intelligence for Scientific Discoveries : Extracting Physical Concepts from Experimental Data Using Deep Learning
Raban Iten
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Frontiers of Fundamental Physics FFP16 : Fundamental Physics and Physics Education
Ekrem Aydiner
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Machine Learning for Materials Discovery : Numerical Recipes and Practical Applications
N. M. Anoop Krishnan
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Machine Learning for Materials Discovery : Numerical Recipes and Practical Applications
N. M. Anoop Krishnan
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