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  2. Pre-algebra - Wikipedia

    en.wikipedia.org/wiki/Pre-algebra

    Pre-algebra is a common name for a course taught in middle school mathematics in the United States, usually taught in the 6th, 7th, 8th, or 9th grade. [1] The main objective of it is to prepare students for the study of algebra. Usually, Algebra I is taught in the 8th or 9th grade. [2]

  3. Precalculus - Wikipedia

    en.wikipedia.org/wiki/Precalculus

    Precalculus prepares students for calculus somewhat differently from the way that pre-algebra prepares students for algebra. While pre-algebra often has extensive coverage of basic algebraic concepts, precalculus courses might see only small amounts of calculus concepts, if at all, and often involves covering algebraic topics that might not have been given attention in earlier algebra courses.

  4. Pre-math skills - Wikipedia

    en.wikipedia.org/wiki/Pre-math_skills

    Pre-math skills (referred to in British English as pre-maths skills) are math skills learned by preschoolers and kindergarten students, including learning to count numbers (usually from 1 to 10 but occasionally including 0), learning the proper sequencing of numbers, learning to determine which shapes are bigger or smaller, and learning to count objects on a screen or book.

  5. AP Precalculus - Wikipedia

    en.wikipedia.org/wiki/AP_Precalculus

    4.4 Parametrically Defined Circles and Lines 2 4.5 Implicitly Defined Functions 2 4.6 Conic Sections 3 4.7 Parametrization of Implicitly Defined Functions 2 4.8 Vectors 3 4.9 Vector-Valued Functions 1 4.10 Matrices 2 4.11 The Inverse and Determinant of a Matrix 2 4.12 Linear Transformations and Matrices 1 4.13 Matrices as Functions 3 4.14

  6. Outline of algebra - Wikipedia

    en.wikipedia.org/wiki/Outline_of_algebra

    Algebra is one of the main branches of mathematics, covering the study of structure, relation and quantity. Algebra studies the effects of adding and multiplying numbers , variables , and polynomials , along with their factorization and determining their roots .

  7. Runge–Kutta methods - Wikipedia

    en.wikipedia.org/wiki/Runge–Kutta_methods

    In numerical analysis, the Runge–Kutta methods (English: / ˈ r ʊ ŋ ə ˈ k ʊ t ɑː / ⓘ RUUNG-ə-KUUT-tah [1]) are a family of implicit and explicit iterative methods, which include the Euler method, used in temporal discretization for the approximate solutions of simultaneous nonlinear equations. [2]

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