GRE Mathematics Subject Test

Sources

Everything this course cites. Every source is on an official site: ets.org, nist.gov.

Getting Your GRE Subject Test ScoresETS · accessed 2026-11-09
GRE Information Bulletin 2026–27ETS · accessed 2026-11-09 · Policies in effect July 1, 2026 to June 30, 2027: three two-week Subject Test windows; no onscreen calculator for Subject Tests and no personal calculators unless approved as an accommodation; no break during a Subject Test.
GRE Subject Test Content and StructureETS · accessed 2026-11-09 · Mathematics Test: approximately 66 multiple-choice questions; 2 hours 50 minutes; no separately timed sections; about 50% calculus, 25% algebra, 25% additional topics; computer-delivered.
GRE Subject Tests (information for score users)ETS · accessed 2026-11-09 · 2026–27 test windows and score reporting dates; one total score on the 200–990 scale in 10-point increments; scores reportable for 5 years.
Practice Book for the GRE Subject Test in MathematicsETS · accessed 2026-11-09 · Free official full-length practice test, the test directions and notation conventions, and scoring information. Copyright ETS: linked and cited for facts only; nothing in this course is taken from it.
Prepare for a GRE Subject TestETS · accessed 2026-11-09
Register for the GRE: Test Dates and Registration (frequently asked questions)ETS · accessed 2026-11-09 · Subject Tests offered in testing windows in September, October and April; test centers worldwide and at home on select dates; retake once every 14 days.
Strategies and Tips for the GRE Subject TestsETS · accessed 2026-11-09 · Mark-and-review, no deduction for wrong answers, timing, note-taking materials, no breaks.
Taking a GRE Subject Test At HomeETS · accessed 2026-11-09
The GRE Mathematics Test (fact sheet with the content specifications)ETS · accessed 2026-11-09 · The official topic list for Calculus (50%), Algebra (25%) and Additional Topics (25%); the percentages are estimates that vary somewhat by edition. Copyright ETS: cited for facts only.
Understanding Your GRE Subject Test ScoresETS · accessed 2026-11-09 · The number correct is converted to an equated total scaled score.
Dictionary of Algorithms and Data Structures: adjacency matrixNIST · accessed 2026-11-09
Dictionary of Algorithms and Data Structures: big-O notationNIST · accessed 2026-11-09
Dictionary of Algorithms and Data Structures: binary searchNIST · accessed 2026-11-09
Dictionary of Algorithms and Data Structures: bipartite graphNIST · accessed 2026-11-09
Dictionary of Algorithms and Data Structures: complete graphNIST · accessed 2026-11-09
Dictionary of Algorithms and Data Structures: degreeNIST · accessed 2026-11-09
Dictionary of Algorithms and Data Structures: Euclid's algorithmNIST · accessed 2026-11-09
Dictionary of Algorithms and Data Structures: Euler cycleNIST · accessed 2026-11-09
Dictionary of Algorithms and Data Structures: Euler's formulaNIST · accessed 2026-11-09
Dictionary of Algorithms and Data Structures: graphNIST · accessed 2026-11-09
Dictionary of Algorithms and Data Structures: Hamiltonian cycleNIST · accessed 2026-11-09
Dictionary of Algorithms and Data Structures: planar graphNIST · accessed 2026-11-09
Dictionary of Algorithms and Data Structures: spanning treeNIST · accessed 2026-11-09
Dictionary of Algorithms and Data Structures: treeNIST · accessed 2026-11-09
NIST/SEMATECH e-Handbook of Statistical Methods, 1.3.5.1 Measures of LocationNIST · accessed 2026-11-09
NIST/SEMATECH e-Handbook of Statistical Methods, 1.3.5.6 Measures of ScaleNIST · accessed 2026-11-09
NIST/SEMATECH e-Handbook of Statistical Methods, 1.3.6 Probability DistributionsNIST · accessed 2026-11-09
NIST/SEMATECH e-Handbook of Statistical Methods, 1.3.6.6.1 Normal DistributionNIST · accessed 2026-11-09
NIST/SEMATECH e-Handbook of Statistical Methods, 1.3.6.6.18 Binomial DistributionNIST · accessed 2026-11-09
NIST/SEMATECH e-Handbook of Statistical Methods, 1.3.6.6.19 Poisson DistributionNIST · accessed 2026-11-09
NIST/SEMATECH e-Handbook of Statistical Methods, 1.3.6.6.2 Uniform DistributionNIST · accessed 2026-11-09
NIST/SEMATECH e-Handbook of Statistical Methods, 1.3.6.6.7 Exponential DistributionNIST · accessed 2026-11-09
NIST/SEMATECH e-Handbook of Statistical Methods, 7.1.4 What are confidence intervals?NIST · accessed 2026-11-09
DLMF §1.10 Functions of a Complex Variable (Taylor and Laurent series, zeros, residue theorem, maximum-modulus principle)NIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §1.11 Zeros of Polynomials (division algorithm, Descartes' rule of signs, quadratic and cubic equations, roots of unity)NIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §1.13 Differential Equations (existence of solutions, Wronskian, variation of parameters)NIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §1.2 Elementary Algebra (binomial theorem, finite series, partial fractions, means, matrices, eigenvalues, trace and determinant)NIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §1.3 Determinants, Linear Operators, and Spectral ExpansionsNIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §1.4 Calculus of One Variable (continuity, derivatives, mean value theorem, L'Hôpital's rule, integrals, fundamental theorem, Taylor's theorem)NIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §1.5 Calculus of Two or More Variables (partial derivatives, coordinate systems, extrema, Leibniz's rule, multiple integrals, Jacobians)NIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §1.6 Vectors and Vector-Valued Functions (dot and cross products, line and surface integrals, Green's, Stokes's and Gauss's theorems)NIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §1.7 Inequalities (Cauchy–Schwarz, Hölder, Minkowski, means, Jensen)NIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §1.9 Calculus of a Complex Variable (complex numbers, Cauchy–Riemann equations, Cauchy's theorem and integral formula, Liouville's theorem, power series, Weierstrass M-test, inversion of limits)NIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §25.6 Riemann Zeta Function: Integer ArgumentsNIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §26.13 Permutations: Cycle NotationNIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §26.3 Lattice Paths: Binomial CoefficientsNIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §26.5 Lattice Paths: Catalan NumbersNIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §26.8 Set Partitions: Stirling NumbersNIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §27.2 Functions of Number Theory (fundamental theorem of arithmetic, Euler's totient, divisor functions, Euler–Fermat theorem)NIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §27.3 Multiplicative PropertiesNIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §3.3 InterpolationNIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §3.5 Quadrature (trapezoidal and Simpson's rules)NIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §3.7 Ordinary Differential Equations (numerical methods)NIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §3.8 Nonlinear Equations (Newton's rule, bisection, secant method, fixed-point iteration)NIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §4.21 Trigonometric Identities (addition formulas, multiples of the argument, De Moivre's theorem)NIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §4.6 Power Series (logarithms, powers, binomial expansion)NIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §5.2 Gamma Function: Definitions (Euler's integral)NIST Digital Library of Mathematical Functions · accessed 2026-11-09
DLMF §5.4 Gamma Function: Special Values and ExtremaNIST Digital Library of Mathematical Functions · accessed 2026-11-09