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Related lectures (31)

Machine Learning Theory: High-Dimensional Perspectives

Explores high-dimensional perspectives in machine learning theory, shedding light on new insights and challenges.

Soil Hydraulic Conductivity and Water Transfers

Explores soil hydraulic conductivity, water transfers, and plant root extraction modeling.

Formulation, Modeling: Château Laupt-Himum

Discusses a case study on wine production at Château Laupt-Himum.

Laplacian: Basics and Examples

Covers the basics of the Laplacian operator applied to scalar fields and its importance in mathematical models.

Mathematical Modeling and Numerical Analysis for Incommensurate 2D Materials

Explores real space and momentum space methods for 2D materials and incommensurate lattices.

Rare Events and Extreme Modeling

Explores rare event modeling, challenges in estimating probabilities with limited data, and the application of extreme value theory in various fields.

Continuous-Time Markov Chains: Birth and Death Processes

Explores birth and death processes in continuous-time Markov chains.

Replicas for Random Field Ising

Covers the concept of replicas for the random field Ising model, discussing various mathematical formulations and assumptions.

Derivation of the Cable Equation

Explores the derivation of the cable equation for modeling dendrites in computational neuroscience.

Continuum Mechanics: Fundamentals and Applications

Explores Continuum Mechanics, focusing on the continuum hypothesis and its practical applications in engineering and physical sciences.

Methodology of Mechanics

Explores the methodology of mechanics, including modeling, laws application, problem-solving, theory limitations, and the historical evolution of classical mechanics.

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