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Related lectures (32)

Computing the Newton Step: GD as a Matrix-Free Way

Explores matrix-based and matrix-free approaches for computing the Newton step in optimization on manifolds.

Numerical Methods: Fixed Point and Picard Method

Covers fixed point methods and the Picard method for solving nonlinear equations iteratively.

Newton's Method: Convergence and Criteria

Explores the Newton method for non-linear equations, discussing convergence criteria and stopping conditions.

Nonlinearity: Methods and Examples

Explores nonlinearity in numerical flow simulation, covering linearization methods and practical examples.

Computational Geomechanics: Unconfined Flow

Explores unconfined flow in computational geomechanics, emphasizing weak form derivation and relative permeability.

Creativity & Design Thinking: Empathy, Ideation, and Implementation

Explores empathy, ideation, and implementation in creativity and design thinking, emphasizing user needs and innovative idea generation.

Mass Customization: mi Adidas

Delves into mass customization through the mi Adidas case study, covering definitions, market fragmentation, product logic, issues, and future strategies.

Fixed-Point Method: Convergence and Linearity

Focuses on the convergence and linearity of the fixed-point method.

Conjugate Gradient Method

Covers the Conjugate Gradient method for solving linear systems efficiently.

Link between Objectives and Study Scope

Explores the relationship between study scope and objectives in defining research elements.

Cavity Method: Mean Field Theory

Explores the Cavity Method in Mean Field Theory, analyzing spins in an external field within a graph.

Crank-Nicolson and Heun's Methods

Covers the Crank-Nicolson and Heun's methods, discussing uniqueness of solutions and truncation errors in numerical methods.

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