Skip to main content

27 docs tagged with "mathematics"

View all tags

Basic Properties and Formulas

Core differentiation rules for sums, products, quotients, compositions, exponentials, logarithms, and inverse functions.

Calculus

A map from limits and derivatives through integration, gradients, optimization, automatic differentiation, and symbolic computation.

Calculus Basics

A map from limits and derivatives to integration, gradients, and optimization.

Common Limit Patterns

A compact reference for standard limits of powers, exponentials, logarithms, and polynomials at infinity.

Continuity

Pointwise and interval continuity, one-sided endpoint conditions, composition, and the intermediate value theorem.

Convex Optimization

A foundation map for convex sets, convex functions, duality, and optimization problems with global guarantees.

Derivative Definitions

The derivative as a limit, tangent slope, instantaneous rate of change, and motion-related quantity.

Derivatives

A map of derivatives from their limit definition to rules, critical points, and curve analysis.

Discrete Mathematics

A foundation map for logic, proof, counting, discrete structures, and probability in computer science.

Evaluating Limits

A decision-oriented guide to substitution, algebraic simplification, one-sided analysis, asymptotics, and L'Hôpital's rule.

Integral Definitions

The definite integral as accumulated signed area and the indefinite integral as a family of antiderivatives.

Integrals

A map of antiderivatives, definite integrals, the fundamental theorem, and standard integration techniques.

Integration by Parts

Worked techniques for integration by parts, trigonometric substitution, and partial-fraction decomposition.

Limit Definitions

Formal and intuitive definitions for finite limits, one-sided limits, limits at infinity, and infinite limits.

Limit Laws

Algebraic laws for combining existing finite limits, including the conditions required for quotients, powers, and roots.

Limits

Definitions, one-sided limits, continuity, limit laws, and practical evaluation techniques.

Linear Algebra

A foundation map for vectors, linear transformations, matrix factorization, and data-oriented applications.

Mathematics

Mathematical foundations for reasoning, modeling, computer science, and machine learning.

Numerical Analysis

A foundation map for approximation, error, stability, and reliable computation with finite precision.

Optimization

A bridge from calculus-based extrema to objective functions and machine-learning loss.