# Numerical Solutions of PDEs I Notes

Numerical Solutions of PDEs are essential in various fields of science and engineering where it is often impossible or impractical to find exact analytical solutions.

##### Some topics in Numerical solution of PDEs:
1. Types of PDEs: PDEs can be classified into various types, including elliptic, parabolic, and hyperbolic PDEs. Each type has different characteristics and requires different numerical techniques for solving.
2. Discretization: The first step in numerically solving a PDE is to discretize the problem domain. This involves dividing the continuous spatial and temporal domains into a grid or mesh of discrete points or elements.
3. Finite Difference Method: The finite difference method is a common numerical technique for solving PDEs, particularly for parabolic and elliptic equations. It approximates derivatives with finite differences and converts the PDE into a system of algebraic equations.
4. Finite Element Method (FEM): FEM is a powerful numerical method for solving a wide range of PDEs, including elliptic, parabolic, and hyperbolic equations. It divides the domain into smaller elements and approximates the solution as piecewise functions over these elements.
5. Finite Volume Method (FVM): FVM is commonly used for solving hyperbolic PDEs, particularly in fluid dynamics and heat transfer problems. It discretizes the domain into control volumes and focuses on the conservation of quantities within these volumes.
6. Boundary Conditions: Boundary conditions are crucial in PDE problems. Numerical methods require the specification of boundary conditions at the edges of the computational domain.
7. Stability and Convergence: Ensuring the stability and convergence of numerical methods is essential. Methods must satisfy stability criteria to prevent solutions from growing uncontrollably over time.
8. Parallel Computing: Solving PDEs numerically can be computationally intensive.

Numerical solution techniques for PDEs are a vast and active area of research, with various methods and algorithms tailored to different types of problems.

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