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  2. Multiplication table - Wikipedia

    en.wikipedia.org/wiki/Multiplication_table

    Multiplication table. In mathematics, a multiplication table (sometimes, less formally, a times table) is a mathematical table used to define a multiplication operation for an algebraic system. The decimal multiplication table was traditionally taught as an essential part of elementary arithmetic around the world, as it lays the foundation for ...

  3. Fourth grade - Wikipedia

    en.wikipedia.org/wiki/Fourth_grade

    In India, where children enter Class 4 at the ages 9 to 10 it is called Lower Primary, it is known as the fourth grade. 5-7 standard categories as Upper Primary (UP). Lower Primary gives the basic education necessary for a kid and when they get to the UP section, advanced knowledge will be provided via lessons or modules. [citation needed]

  4. Educational stage - Wikipedia

    en.wikipedia.org/wiki/Educational_stage

    Dismantling the age-old 10+2 concept, the policy pitches for a "5+3+3+4" design corresponding to the age groups 3–8 years (foundational stage), 8–11 (preparatory), 11–14 (middle), and 14–18 (secondary). This brings early childhood education (also known as pre-school education for children of ages 3 to 5) under the umbrella of formal ...

  5. Multiplication algorithm - Wikipedia

    en.wikipedia.org/wiki/Multiplication_algorithm

    A multiplication algorithm is an algorithm (or method) to multiply two numbers. Depending on the size of the numbers, different algorithms are more efficient than others. Numerous algorithms are known and there has been much research into the topic. The oldest and simplest method, known since antiquity as long multiplication or grade-school ...

  6. Multiplication - Wikipedia

    en.wikipedia.org/wiki/Multiplication

    Animation for the multiplication 2 × 3 = 6 4 × 5 = 20. The large rectangle is made up of 20 squares, each 1 unit by 1 unit. The large rectangle is made up of 20 squares, each 1 unit by 1 unit. Area of a cloth 4.5m × 2.5m = 11.25m 2 ; 4 ⁠ 1 / 2 ⁠ × 2 ⁠ 1 / 2 ⁠ = 11 ⁠ 1 / 4

  7. Runge–Kutta methods - Wikipedia

    en.wikipedia.org/wiki/Runge–Kutta_methods

    In numerical analysis, the Runge–Kutta methods (English: / ˈrʊŋəˈkʊtɑː / ⓘ 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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