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Explores numerical methods for boundary value problems, including heat diffusion and fluid flow, using finite difference methods.
Linear Programming: Optimization and Constraints
Explores linear programming optimization with constraints, Dijkstra's algorithm, and LP formulations for finding feasible solutions.
Partial Differential Equations and Hessians
Covers partial differential equations, Hessians, and the Implicit Function Theorem, with a focus on exam question resolution.
Dimensional Analysis of Explosions
Explores dimensional analysis of large explosions using tabulated values to predict explosive behavior.
Variational Problems: Convexity and Coercivity
Explores variational problems, emphasizing convexity and coercivity conditions in functionals with integral side constraints.
Global View of Dwork's Proof
Explores a 'global' view of Dwork's proof, emphasizing the vanishing of a determinant.
Taylor Series: Convergence and Applications
Explores Taylor series convergence and applications in approximating functions and solving mathematical problems.
Newton's 2nd Law: Understanding Linear Momentum
Explores Newton's 2nd Law applied to linear momentum and mass flow rate.

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