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Mechanics of Materials I: Fundamentals of Stress & Strain and Axial Loading
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Explore tensor algebra and its advantages over matrix-based approaches for data compression and analysis. Learn about novel tensor-tensor products and their applications in various fields.
Explore innovative approaches to velocity estimation in wave equation inverse problems, focusing on data-driven reduced order modeling and its application to full waveform inversion.
Explore the diverse applications and mathematical techniques of tomography, from medical imaging to geophysics, with Professor Peter Kuchment's comprehensive overview of this fascinating field.
Explore high-dimensional Bayesian statistics in engineering, focusing on efficient data-physical model integration and uncertainty quantification. Learn about multilevel MCMC and measure-transport approaches.
Explore efficient methods for uncertainty quantification in Bayesian inverse problems, focusing on small noise regimes and data-driven engineering applications.
Explore mathematical tools for understanding and managing pandemics with Prof. Julia Gog. Gain insights into modeling, data analysis, and decision-making strategies for infectious disease outbreaks.
Explore innovative metamaterial-based devices for controlling water waves, presented by Dr. Agnes Maurel in this Kirk Lecture at the Isaac Newton Institute.
Explore Newton's laws of motion and gravitation through examples, examining differential equations, many-particle systems, and their large-scale behavior from numerical and analytical perspectives.
Explore population dynamics theory, analyzing KPP equations and moment equations to understand irregularities in real populations and magnetic fields of stars.
Explore the mathematical foundations of deep neural networks, covering functional analysis, harmonic analysis, complex analysis, approximation theory, and more with Professor Helmut Bölcskei.
Explore cluster algebras' definition, impact on representation theory, and ongoing research. Gain insights into this influential mathematical concept and its wide-ranging applications.
Explore elliptic curves in two-loop Feynman diagrams, examining their emergence in cubic hypersurfaces and potential connections to elliptic dilogarithms in quantum field theory amplitudes.
Explore forward contracts, risk aversion, and price forecasting in energy markets. Analyze negotiation methods and equilibrium concepts for bilateral agreements between firms with differing views.
Explore Hamiltonian Monte Carlo sampling algorithm, its applications, and underlying concepts from statistical physics, geometric integration, Bayesian statistics, and Hamiltonian dynamics.
Explore optimality in approximation and computation algorithms with Prof. Ronald DeVore's in-depth analysis of mathematical techniques and their applications in data science.
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