Optimization Problems in Calculus: 4 Solved Examples
Solve calculus optimization problems in 6 steps. Worked examples: the largest fenced area, the open box, the cheapest can and the closest point on a curve.
Solve calculus optimization problems in 6 steps. Worked examples: the largest fenced area, the open box, the cheapest can and the closest point on a curve.
Solve related rates problems in 6 steps. Worked classics: the sliding ladder, the expanding balloon, the draining cone and the moving shadow.
The Mean Value Theorem guarantees a point where the instantaneous rate equals the average rate. Hypotheses, Rolle’s theorem, and how to find c step by step.
Linear approximation uses the tangent line L(x) = f(a) + f'(a)(x − a) to estimate values like √4.1 and sin 0.1. Includes error, differentials and examples.
Newton’s method finds roots with xₙ₊₁ = xₙ − f(xₙ)/f'(xₙ). Step-by-step iterations for x³ − 2x − 5, approximating √2, and when the method fails.
Find the tangent line to y = f(x) at x = a in three steps: point, slope f'(a), point-slope form. Includes normal lines and 4 worked examples.
An inflection point is where concavity changes. Find candidates with f”(x) = 0 or undefined, then confirm a sign change. Worked examples and pitfalls.
Find critical points by solving f'(x) = 0 or where f’ is undefined, then classify them with the first or second derivative test. Worked examples inside.
The Fundamental Theorem of Calculus links derivatives and integrals. Both parts explained with intuition, formulas and worked examples.
How to find dy/dx when y isn’t isolated. A 4-step implicit differentiation method with circle, x³+y³=6xy and trig examples, plus tangent lines.