// The CalculusConcepts Blog

Ideas, Intuition &
Mathematical Insight

Deep dives across 8 calculus topics — from basics to multivariable. Free articles, visual proofs, and step-by-step guides.

Newton Leibniz d/dx dy/dx
f(x) = domain · range · graph
lim x→a f(x) = L
continuous on [a,b]
1. Substitute x→a 2. Factor / simplify 3. Cancel & evaluate → Result = L
0/0 → ? L'Hôpital → f'(x)/g'(x)
→ ∞
✗ Ignoring one-sided ✗ Skipping holes ✗ ∞ - ∞ = 0 (wrong!) ✓ Common mistakes
Power: nxⁿ⁻¹ Product: f'g+fg' Chain: g'(f)·f' derivative rules
d/dx[g(f(x))] = g'(f(x))·f'(x)
x²+y²=25 implicit diff. dy/dx = -x/y
f(x), f'(x), f''(x)
d/dx[sin]=cos, d/dx[cos]=-sin
velocity acceleration growth rate real applications →
max
Definite: ∫ₐᵇ f dx Indefinite: ∫f dx = F(x) + C
∫xⁿ = xⁿ⁺¹/(n+1)+C ∫eˣ = eˣ + C ∫sin = -cos + C ∫cos = sin + C
∫f(g(x))g'(x)dx let u = g(x) = ∫f(u) du
∫u dv = uv - ∫v du Choose u = LIATE Integration by Parts
∫₁^∞ 1/x² dx improper integrals
area
volume of solids arc length work (physics) → Applications
∂f/∂x hold y constant → partial derivative
∫∫ f(x,y) dA double integral
vector field
∇f gradient ∇·F divergence ∇×F curl
f(x) ≈ Σ fⁿ(a)/n! Taylor series
dy/dx = ky differential equations
optimization fluid dynamics signal processing Engineering →
marginal cost / revenue
gradient descent backpropagation loss function ∇ Calculus in ML
population growth GPS navigation weather forecasting medical imaging real-life examples
∫ f(x) dx = F(x) + C
lim f(x) as x→a = L
d/dx[g(f(x))] g'(f(x))·f'(x)
area = ∫ₐᵇ f(x)dx
d²/dx² [ f(x) ] = f''(x)
AP Calculus AB & BC Exam Topics · Tips · Format exam prep guide
Q: What is f'(x²)? A: 2x · f'(x²) Q: ∫eˣdx = ? A: eˣ + C
1. Read problem 2. Identify method 3. Apply formula 4. Check answer problem solving