Calculus
[[L’Hôpital’s Rule]]
-
Limits and Continuity: Understanding the behaviour of functions as they approach specific points or infinity; foundational for defining derivatives and integrals.
-
Derivatives and Differentiation: Measures the rate of change of a function; key for understanding motion, growth, and optimisation.
-
Chain Rule: A method for differentiating composite functions; crucial for handling complex expressions.
- Implicit Differentiation: Differentiating equations that define functions implicitly; useful for related rates and other applications.
-
Optimisation: Using derivatives to find maxima and minima of functions; applied in various fields to optimise performance and outcomes.
-
Integrals and Integration: Calculating areas under curves and accumulated quantities; essential for understanding total change.
- Fundamental Theorem of Calculus: Links differentiation and integration, showing they are inverse processes.
- Series and Sequences: Understanding sums of sequences and their convergence; important for approximations and various applications.
- Multivariable Calculus: Extending calculus to functions of several variables; critical for real-world applications involving multiple factors.
-
Partial Derivatives: Differentiating functions of several variables with respect to one variable at a time; foundational for multivariable analysis.
-
Vector Calculus: Deals with vector fields and operations on them; used in physics and engineering.
- Differential Equations: Equations involving derivatives; essential for modelling dynamic systems in science and engineering.