
Slope-Intercept Form
... Objective The student will be able to: 1) Write equations using slope-intercept form. 2) Identify slope and y-intercept from an equation. 3) Write equations in standard form. ...
... Objective The student will be able to: 1) Write equations using slope-intercept form. 2) Identify slope and y-intercept from an equation. 3) Write equations in standard form. ...
Name Date ______ Block ______ Unit 1 Quiz 3 Study Guide Solve
... the painter? Explain your answer using words, symbols, or both. ...
... the painter? Explain your answer using words, symbols, or both. ...
Document
... first common factor 0 = 4x2 + 120x – 800 0 = 4(x2 + 30x – 200) now use the “quadratic formula” to solve for the roots ...
... first common factor 0 = 4x2 + 120x – 800 0 = 4(x2 + 30x – 200) now use the “quadratic formula” to solve for the roots ...
Write or Identify a Linear Equation
... 2. The equation y = mx + b is called the slope-intercept form of a linear equation, where m is the slope of the line and b is the y-intercept. Therefore, the slope of the equation y = -5x + 4 is -5. 3. Plug the slope and point into the point-slope formula. y - y1 = m(x - x1) y - (-2) = 1/3(x - (-1)) ...
... 2. The equation y = mx + b is called the slope-intercept form of a linear equation, where m is the slope of the line and b is the y-intercept. Therefore, the slope of the equation y = -5x + 4 is -5. 3. Plug the slope and point into the point-slope formula. y - y1 = m(x - x1) y - (-2) = 1/3(x - (-1)) ...
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.