Yes, but the matrices get fairly complicated.
Example:
aW + bX + cY + dZ = e
fW + gX + hY + iZ = j
kW + lX + mY + nZ = o
pW + qX + rY + sZ = t
|a b c d| | W | | e |
|f g h j| | X | | j |
|k l m n| | Y | = | o |
|p q r s| | Z | | t |
Solving for W is not easy...
|e b c d|
|j g h j|
|o l m n|
|t q r s|
----------
|a b c d|
|f g h j|
|k l m n|
|p q r s|
No, but a variable can have more than one value in an inequality such as x > 10. In that inequality, x can be 11, 12, 13, 14, or anything else higher than 10.That is not to say, however, that the same variable can't be equal to two different expressions or formulas. The equations x=10 and x=y+5 are completely valid. In fact, those expressions imply that 10=y+5, or that y=5.
This is not always true. Other systems may be utilized more than this faster system for other reasons not listed here.
It means that the two variables are likely dependent. The higher the number of the positive correlation the stronger the connection.
independant-influences the other variable-x axis dependant-is influenced by the dependant variable-y axis example as johnny jumps from a higher distance, he falls faster. independant=distance from the ground dependant=the speed of the fall
Correlation determines relationship between two variables. For example changes in one variable influence another variable, we can say that there is a correlation between the two variables. For example, we can say that there exists a correlation between the number of hours spent on reading and preparation and the scores obtained in the examination. One can infer that higher the amount of time spent on preparation may result in better performance in examination leading to higher scores. Hence the above is a case of positive correlation. If an increase in independent variable leads to an increase in dependent variable, it is a case of positive correlation. On the other hand if an increase in independent variable leads to a reduction in dependent variable, it is a case of negative correlation. An example for negative correlation could be the relationship between the age advancement and resistance to diseases. As age advances, resistance to disease reduces.
The word linear means in a straight line. If the graph is a line, it is linear. Also, linear equations are of the first order; they contain a variable but not a square (or higher power) of a variable. If the equation contains x2 it is not linear.
It is an equation in which one of the terms is the instantaneous rate of change in one variable, with respect to another (ordinary differential equation). Higher order differential equations could contain rates of change in the rates of change (for example, acceleration is the rate of change in the rate of change of displacement with respect to time). There are also partial differential equations in which the rates of change are given in terms of two, or more, variables.
The relationship between the flow rate variable and the efficiency of the system is that a higher flow rate can lead to increased efficiency in some systems, as it allows for faster movement of materials or energy. However, in other systems, a higher flow rate may decrease efficiency due to factors like increased friction or turbulence. It is important to consider the specific characteristics of the system in question when analyzing this relationship.
COGS is a mixed bag of fixed and variable costs. Overall, however, it generally behaves like a variable cost; in general, the more units that are produced, the higher inventory production costs will be, and the higher inventory production costs are, the higher COGS will be.
A negative correlation
In algebra polynomials are the equations which can have any number of higher power. Quadratic equations are a type of Polynomials having 2 as the highest power.
Fees are higher in a Variable annuity than they are in say a fixed Index Annuity.
An equation for a parabola always has some type of irregular variable, usually a squared variable or higher.
The Texas Instument TI-84 model or higher
A local variable is a variable that can only be called on by the module. Where as a global variable can be called upon by any module. Only statements made inside the same module can call on a local variable.
The spring constant is a measure of how stiff or flexible a spring is. In mechanical systems, it determines how much force is needed to stretch or compress the spring. A higher spring constant means the spring is stiffer and requires more force to deform, while a lower spring constant means the spring is more flexible and requires less force. This variable is important in designing and analyzing mechanical systems, as it affects the overall behavior and performance of the system.
Avron Douglis has written: 'Ideas in mathematics' -- subject(s): Mathematics 'Dirichlet's problem for linear elliptic partial differential equations of second and higher order' -- subject(s): Differential equations, Linear, Differential equations, Partial, Dirichlet series, Linear Differential equations, Partial Differential equations