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Numerical methods for ordinary differential equations are methods used to find numerical approximations to the solutions of ordinary differential equations (ODEs). Their use is also known as "numerical integration", although this term can also refer to the computation of integrals. Many differential equations cannot be solved exactly.
The syllabus generally follows the NCERT syllabus for classes 11 and 12. For 2024 exam, it will follow the rationalized syllabus of 2023-24. Syllabus for IAT [ 9 ]
Direct calculation shows that this is a solution of the differential equation at every point, including = and =. Uniqueness fails for these solutions on the interval c 1 ≤ x ≤ c 2 {\displaystyle c_{1}\leq x\leq c_{2}} , and the solutions are singular, in the sense that the second derivative fails to exist, at x = c 1 {\displaystyle x=c_{1 ...
The exact solution of the differential equation is () =, so () =. Although the approximation of the Euler method was not very precise in this specific case, particularly due to a large value step size h {\displaystyle h} , its behaviour is qualitatively correct as the figure shows.
Class of differential equation which may be solved exactly [2] Binomial differential equation (′) = (,) Class of differential equation which may sometimes be solved exactly [3] Briot-Bouquet Equation: 1 ′ = (,)
In mathematics, a differential equation is an equation that relates one or more unknown functions and their derivatives. [1] In applications, the functions generally represent physical quantities, the derivatives represent their rates of change, and the differential equation defines a relationship between the two.
Most elementary and special functions that are encountered in physics and applied mathematics are solutions of linear differential equations (see Holonomic function). When physical phenomena are modeled with non-linear equations, they are generally approximated by linear differential equations for an easier solution.
Name Dim Equation Applications Landau–Lifshitz model: 1+n = + Magnetic field in solids Lin–Tsien equation: 1+2 + = Liouville equation: any + = Liouville–Bratu–Gelfand equation