A Geometrical Approach to Physics
David A. Burton
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David A. Burton
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David A. Burton
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Statistical Mechanics of Phases and Phase Transitions
Steven A. Kivelson
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The Principles of Deep Learning Theory : An Effective Theory Approach to Understanding Neural Networks
Daniel A. (Massachusetts Institute of Technology) Roberts
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A First Course in Network Theory
Ernesto Estrada
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A First Course in Network Science
Filippo (Indiana University, Bloomington) Menczer
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Drilling Down : The Gulf Oil Debacle and Our Energy Dilemma
Joseph A. Tainter
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Functional Methods in Quantum Field Theory and Statistical Physics
A.N. (Moscow State University, Russia) Vasiliev
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A First Course in Network Theory
Ernesto (Professor and Chair in Complexity Science, Professor Estrada
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Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics
Prof Max A. (Professor of Mathematics, Aston University, Profe Little
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Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics
Prof Max A. (Professor of Mathematics, Aston University, Profe Little
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Supersymmetric Solitons
M. (University of Minnesota) Shifman
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Causality, Meaningful Complexity and Embodied Cognition
A. Carsetti
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Statistical Mechanics of Solids
Louis A. Girifalco
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Machine Learning for Signal Processing : Data Science, Algorithms, and Computational Statistics
Max A. Little
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Foundation of Statistical Energy Analysis in Vibroacoustics
A. Le Bot
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Statistical Models for Nuclear Decay : From Evaporation to Vaporization
A.J Cole
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Levy Processes, Integral Equations, Statistical Physics: Connections and Interactions
Lev A. Sakhnovich
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Phase Resetting in Medicine and Biology : Stochastic Modelling and Data Analysis
Peter A. Tass
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Equilibrium Statistical Mechanics of Lattice Models
David A. Lavis
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Lectures On Random Evolution
Pinsky Mark A Pinsky
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