To find inflection points
1. Find the second derivative
2. Set the second derivative equal to zero
3. Solve for x
Optional
4. Plug in and solve for f(x)
Back
Indefinite Integral
Front
Back
Washer Volume along y axis
Front
Same as along the x axis simply replace x with y (replace every single x with a y)
1. Visualize the problem; name the variables
2. Write down the objective function - the one to be optimized - as a function of two variables
3. Write down a Constraint Equation relating the variables
4. Use the constraint to rewrite the objective function in terms of one variable (Isolate one of the variables and then plug in for that variable)
5. Analyze the new function of one variable to find its optimal point(s) and the optimal value
Back
Riemann Sum
Front
Back
Intermediate Value Theorem
Front
Back
F(x): Concavity
Front
If f`` is positive, then f` is increasing, and the concavity of f(x) is upwards
If f`` is negative, then f` is decreasing, and the concavity of f(x) is downwards
Back
Differentiation: Quotient Rule
Front
Back
Fundamental Theorem of Calculus
Front
Back
Integration: Natural Logarithm
Front
(squiggly line antiderivative)d/du = ln|u| + C
Back
Differentiation: Chain Rule
Front
Back
MVT for Integrals
Front
Back
dy/dx
Front
Back
Definite Integral
Front
Back
Volumes of Solids of Revolution
Front
Rotating the the region between two curves about a line, then finding the volume created
Back
Absolute Max./Min.
Front
Only occur at critical points or end points of a continuous function (guaranteed by the EVT)
Back
Washer Volume along x axis
Front
Back
Related Rates
Front
Suppose two variables, each a function of "time", are related by an equation.
1. Differentiate both sides of the equation
2. Use data given for variables and on of the rates to solve for the other rate
Back
Cylindrical Shell Volume
Front
h = R-r
Back
Differentiation: Power Rule
Front
Back
Second Fundamental Theorem of Calculus
Front
Back
Integration: Exponential Function
Front
Back
Numerical Differentiation
Front
Used to estimate the derivative
(F(x+h)-f(x))/h
Back
Mean Value Theorem
Front
Back
F(x): Increasing or Decreasing
Front
If f`is positive, then f(x) is increasing
If f` is negative, then f(x) is decreasing
Back
Area Between Curves
Front
Back
Integration: Power Rule
Front
Back
Differentiation: Inverse Functions
Front
Back
Finding Average Velocity
Front
Back
Differentiation: Trig Functions
Front
Back
Extreme Value Theorem
Front
There must be a max and min if the function is continuous on [a,b]