locating a root
look for a sign change
a root is where f(x) = 0
improving the precision of a root (2 methods)
interval bisection: cutting the interval in half after every iteration (i.e if root is between 5 and 5.8, then test 5.4, then 5.2 then 5.3 or 5.1)
decimal search: systematically increasing no. sig figs (i.e if root between 1-2, then test 1.1, 1.2, 1.3 … then 1.31, 1.32, 1.33.
if it is asking for the root to 2dp, you need to calculate the interval to 3dp, to see if it rounds up
iterative formula
rearrange into iterative formula (and solve if u want)
how to draw cobweb/staircase diagram
sketch curve and line y = x
draw line vertically to curve, then horizonatally to y = x, then vertically to curve, then horizontally to y = x …
staircase diagram
Successive iterations get closer to the root,
approaching the root from the same direction. This
is graphically represented by a “staircase” diagram.
cobweb diagram
Successive iterations alternate between being
above and below the root. This is graphically represented
by a “cobweb” diagram.
central estimate/difference concept
estimating the gradient of a point by drawing a line parallelish to the tangent and finding its gradient
central difference formula
the difference between the function’s (y) values at points (x+h) and (x-h), divided by the distance (2h) between them:
foward/backward distance
going from point x to either (x + h) or (x - h) and dividing by h
finding area under a curve using rectangles
remember, add up y’s, then multiply by h (width of each rectangle)
trapezium rule
3 applications of numerical methods
gradient of d/t graph = speed
gradient of s/t graph = acceleration
area under s/t graph = distance travelled