Slope estimate
Then read what a derivative measures.
Tools after ideas
Small tools that run in your browser. No accounts and no server math. Use them to test a number after you can explain the idea. Exact algebra now includes Gram Schmidt, LU factorization, and Jacobian matrices. Each tool page includes a short lesson, pitfalls, related reading, and a small FAQ. Educational estimates only.
Start here
Then read what a derivative measures.
Then read multivariable calculus.
Then read convergence tests.
Then read Jacobians or eigenvalues.
Useful next to Stokes theorem.
Then read Bayes theorem without the fog.
Limits, slopes, and accumulation. Pair each tool with the matching explainer so the output has a sentence attached. The epsilon delta finder is the companion to the limit explainer. Series approximations are the Taylor polynomial calculator.
Search for a numerical delta given f, a point, a proposed limit, and epsilon. See epsilon delta intuition.
Sample f(x) as x approaches a or infinity. See epsilon delta intuition.
Forward, backward, or central differences. See what a derivative measures and implicit differentiation.
Partials, steepest ascent, and the slope in a chosen direction. See multivariable and vector calculus.
Symbolic partial derivatives, the Jacobian determinant, and the value at a point. See Jacobian matrices.
Source, sink, and rotation of a vector field at a point, with a picture of the arrows. See Stokes theorem intuition.
Left, midpoint, or right rectangles. See calculus foundations.
Exact decomposition of a rational function, with division, factoring, and each algebra step. See calculus foundations.
Characteristic equation for a y'' + b y' + c y = 0, with exact steps and initial conditions. See differential equations.
Matrix and determinant for two or three functions of x, and a linear-independence reading. A zero at one point is not dependence. See differential equations.
Forward and inverse transforms of common terms, with the table rule and each shift written out. See differential equations.
Solve y' + P(x) y = Q(x), with μ(x), the integral, and an optional initial condition. A non-elementary integral is labelled as Runge-Kutta. See differential equations.
Roots and discriminant. Algebra that calculus still uses.
Linear maps in small dimension. Good companions for the linear algebra pillar. The 3 by 3 inverse page keeps exact fractions and writes every minor. The 3x3 eigenvalue calculator expands the characteristic polynomial and row reduces for a real eigenvector. The row reduction page writes each elimination step the same way. The Gram Schmidt calculator builds an orthogonal basis, and the LU decomposition calculator saves the multipliers from elimination.
Determinant, inverse, and products AB or BA. See Jacobian matrices.
Cofactor expansion, the adjugate, and an exact fraction inverse when it exists. See linear algebra.
Gaussian elimination with each step in exact fractions, and the solution of a linear system. See linear algebra.
Characteristic polynomial roots. See eigenvalues in plain language.
Characteristic polynomial, eigenvalues, and a real eigenvector, with steps. See eigenvalues in plain language.
Dot product, cross product, magnitude, and unit vectors. See Stokes theorem intuition.
Orthogonal vectors, unit vectors, and QR factors in exact fractions. See linear algebra.
L and U factors from elimination, with optional row exchanges and a solution of A x = b. See linear algebra.
Models you can type, not proofs. Update a belief with the Bayes theorem calculator, or read Bayes theorem without the fog first if the two directions of a conditional still feel the same.
Posterior P(H|E) from a prior, a likelihood, and a false positive rate, or from natural frequencies. See Bayes theorem without the fog.
n choose k and P(X equals k) for a binomial model.
Probability below a value, above a value, or between two values, from a mean and a standard deviation. Standard z scores and inverse percentiles too.
Permutations, combinations, and factorials with overflow warnings.
Finite arithmetic and geometric sums, and the Taylor polynomial that matches a function near a center. Infinite convergence needs a test, not a partial sum alone. See convergence tests for series.
Nth term and finite sum. Pair with sequences and series.
Degree-n polynomial with exact coefficients, a derivative table, and a Lagrange remainder bound. See sequences and series.
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