Applied Mathematics
Applied mathematics guides covering single and multivariable calculus, ordinary and partial differential equations, linear algebra, probability theory, statistical methods, and mathematical modeling.
Articles in this section
Calculus Basics Guide: Limits, Derivatives, and Integrals
Learn calculus fundamentals — limits, derivatives, integrals, the Fundamental Theorem, and real-world applications …
Multivariable Calculus: Functions of Several Variables
Explore multivariable calculus — partial derivatives, multiple integrals, vector fields, gradient, divergence, curl, and …
Ordinary Differential Equations: Concepts and Solution Methods
Master ordinary differential equations — first-order ODEs, linear systems, numerical methods, and applications in …
Partial Differential Equations: Heat, Wave, and Laplace Equations
Explore partial differential equations — classification, solution methods for heat, wave, and Laplace equations, …
Applied Linear Algebra: Vectors, Matrices, and Transformations
Study applied linear algebra — vector spaces, matrix operations, eigenvalues, linear transformations, and computational …
Probability Theory Guide: Foundations of Randomness
Understand probability theory — sample spaces, random variables, distributions, expectation, variance, limit theorems, …
Statistics Guide: Data Analysis and Inference Methods
Learn statistics — descriptive statistics, sampling distributions, hypothesis testing, confidence intervals, regression …
Numerical Analysis: Algorithms for Approximate Solutions
Explore numerical analysis — root finding, interpolation, numerical integration, solving linear systems, and …
Mathematical Modeling: Building Predictive Frameworks
Explore mathematical modeling — model formulation, parameter estimation, validation, simulation, and applications in …
Optimization Theory: Finding Optimal Solutions
Study optimization theory — unconstrained optimization, constrained optimization, convexity, gradient methods, linear …
Fourier Analysis: Decomposing Signals into Frequencies
Explore Fourier analysis — Fourier series, Fourier transforms, convolution, spectral analysis, and applications in …
Vector Calculus: Fields, Flux, and Circulation
Study vector calculus — gradient, divergence, curl, line and surface integrals, Green's theorem, Stokes' theorem, and …
Linear Programming: Optimizing with Linear Constraints
Learn linear programming — simplex method, duality theory, sensitivity analysis, integer programming, and real-world …
Differential Equations in Modeling: Real-World Dynamics
Explore differential equations modeling — population dynamics, chemical kinetics, mechanical vibrations, circuit …
Computational Mathematics: Algorithms for Scientific Computing
Explore computational mathematics — algorithm design, complexity analysis, numerical linear algebra, Monte Carlo …
Game Theory Guide: Strategic Decision Making
Learn game theory — Nash equilibrium, zero-sum games, prisoner's dilemma, evolutionary game theory, and applications in …
Information Theory: Entropy, Compression, and Communication
Explore information theory — entropy, mutual information, channel capacity, source coding, error-correcting codes, and …
Data Science Mathematics: Foundations for Analytics
Explore data science mathematics — linear algebra, calculus, probability, optimization, dimensionality reduction, and …