Alright, future engineers! The **Intermediate Value Theorem (IVT)** says a continuous function `f` on `[a,b]` takes every value between `f(a)` & `f(b)`. Ex: If `f(0)=1, f(2)=5`, then some `x` in `[0,2]` has `f(x)=3`. Pro-Tip: Use it to prove a root *exists*! #Calculus#Theorem#STEM#StudyNotes
Alright, future engineers! **Optimization:** Using derivatives to find the max or min value of a function (e.g., max volume, min cost). Ex: Set `f'(x) = 0` to find critical points. Pro-Tip: Don't forget to check *endpoints* of your interval too, not just critical points! #Calculus#Optimization#STEM#StudyNotes
Alright, future engineers! A **Limit** describes the behavior a function approaches as its input gets closer & closer to a certain value. Ex: `lim (x->2) x^2 = 4`. Pro-Tip: Think of it as predicting where the function is *going*, not necessarily where it *is*. #Calculus#Limits#STEM#StudyNotes
Alright, future engineers! **Derivative:** The instantaneous rate of change of a function, or the slope of its tangent line. Ex: Power Rule: `d/dx (x^n) = nx^(n-1)` Pro-Tip: It tells you how fast is this changing *right now*? #Calculus#Derivatives#STEM#StudyNotes
Alright, future engineers! **Optimization** uses derivatives to find the max or min values of a function (e.g., max profit, min cost). Ex: Set `f'(x)=0` to find critical points. Pro-Tip: Always check endpoints and domain boundaries! #Calculus#Optimization#STEM#StudyNotes
Alright, future engineers! The **Chain Rule** differentiates a function inside another (a composite function). Ex: `d/dx f(g(x)) = f'(g(x)) * g'(x)` Pro-Tip: Differentiate the *outside*, then multiply by the derivative of the *inside*! Think 'onion layers.' #Calculus#Differentiation#STEM#StudyNotes
Alright, future engineers! **Concavity** describes how a curve bends – up (like a cup) or down (like a frown). Ex: `f''(x) > 0` for concave up. Pro-Tip: Inflection points occur where concavity changes, i.e., `f''(x)=0` or undefined! #Calculus#CurveSketching#STEM#StudyNotes