Solving Single Variable Equations
... When you divide them you get: 1,-1, 2,-3, 3,-6 and 6 as the factors that you have to divide. Then you perform synthetic division and your solutions turn out to be (x-1) (x-2) (x-3). So x=1, x=2 and x=3 Plug it into your equation to see if they actually turn out to be zero. X^3-6x^2+11x-6=0 ...
... When you divide them you get: 1,-1, 2,-3, 3,-6 and 6 as the factors that you have to divide. Then you perform synthetic division and your solutions turn out to be (x-1) (x-2) (x-3). So x=1, x=2 and x=3 Plug it into your equation to see if they actually turn out to be zero. X^3-6x^2+11x-6=0 ...
Learning objectives
... find the reciprocal of a number solve more complex ratio and proportion problems such as sharing money in the ratio of people’s ages solve ratio and proportion problems using the unitary method round numbers to different degrees of accuracy, decimal places and significant figures recognise that recu ...
... find the reciprocal of a number solve more complex ratio and proportion problems such as sharing money in the ratio of people’s ages solve ratio and proportion problems using the unitary method round numbers to different degrees of accuracy, decimal places and significant figures recognise that recu ...
Solving Two-Step Equations
... Two-Step Equation: an equation that involves “undoing” two operations ...
... Two-Step Equation: an equation that involves “undoing” two operations ...
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.