
4th 9 weeks
... of two functions. AAT.WCE. 2 Calculate slope between two points, write the equation of a line using Point-Slope form, and understand that slope is a ratio or a rate of change in a real-life application. AAT.WCE.3 Use interval notation to represent the solution sets of equations. AAT.WCE.4 Solve prob ...
... of two functions. AAT.WCE. 2 Calculate slope between two points, write the equation of a line using Point-Slope form, and understand that slope is a ratio or a rate of change in a real-life application. AAT.WCE.3 Use interval notation to represent the solution sets of equations. AAT.WCE.4 Solve prob ...
Friday, September 21: 3-1 Modeling and - annedavenport
... Note: The number of terms is simply the number of expressions being added and subtracted. Def: If two expressions are equal to each other, you can write this as an equation. For example, if x + 3 and 2x – 7 have the same value, then x + 3 = 2x – 7. Note: Equations always have an equals sign, but exp ...
... Note: The number of terms is simply the number of expressions being added and subtracted. Def: If two expressions are equal to each other, you can write this as an equation. For example, if x + 3 and 2x – 7 have the same value, then x + 3 = 2x – 7. Note: Equations always have an equals sign, but exp ...
Partial differential equation

In mathematics, a partial differential equation (PDE) is a differential equation that contains unknown multivariable functions and their partial derivatives. (A special case are ordinary differential equations (ODEs), which deal with functions of a single variable and their derivatives.) PDEs are used to formulate problems involving functions of several variables, and are either solved by hand, or used to create a relevant computer model.PDEs can be used to describe a wide variety of phenomena such as sound, heat, electrostatics, electrodynamics, fluid flow, elasticity, or quantum mechanics. These seemingly distinct physical phenomena can be formalised similarly in terms of PDEs. Just as ordinary differential equations often model one-dimensional dynamical systems, partial differential equations often model multidimensional systems. PDEs find their generalisation in stochastic partial differential equations.