Comparison of Numerical and Analytic Solutions: Consider the initial-value problem y′ =y−2, y(0)=1 (a) Find the approximate solutions at x = 0.1, 0.2, and 0.3 using the Euler method with step size h = 0.1. (b) Find the approximations at the same points x as in part (a) using the step size h = 0.05; you will have to compute twice as many steps to reach each point x. (c) Find the analytic solution of the initial value problem. Compute the errors be- tween the analytic solution and each of the approximations in parts (a) and (b). What can you say about the behavior of the errors?
Optimization
Optimization comes from the same root as "optimal". "Optimal" means the highest. When you do the optimization process, that is when you are "making it best" to maximize everything and to achieve optimal results, a set of parameters is the base for the selection of the best element for a given system.
Integration
Integration means to sum the things. In mathematics, it is the branch of Calculus which is used to find the area under the curve. The operation subtraction is the inverse of addition, division is the inverse of multiplication. In the same way, integration and differentiation are inverse operators. Differential equations give a relation between a function and its derivative.
Application of Integration
In mathematics, the process of integration is used to compute complex area related problems. With the application of integration, solving area related problems, whether they are a curve, or a curve between lines, can be done easily.
Volume
In mathematics, we describe the term volume as a quantity that can express the total space that an object occupies at any point in time. Usually, volumes can only be calculated for 3-dimensional objects. By 3-dimensional or 3D objects, we mean objects that have length, breadth, and height (or depth).
Area
Area refers to the amount of space a figure encloses and the number of square units that cover a shape. It is two-dimensional and is measured in square units.
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Comparison of Numerical and Analytic Solutions: Consider the initial-value problem y′ =y−2, y(0)=1
(a) Find the approximate solutions at x = 0.1, 0.2, and 0.3 using the Euler method with step size h = 0.1.
(b) Find the approximations at the same points x as in part (a) using the step size h = 0.05; you will have to compute twice as many steps to reach each point x.
(c) Find the analytic solution of the initial value problem. Compute the errors be- tween the analytic solution and each of the approximations in parts (a) and (b). What can you say about the behavior of the errors?
(a) Consider the differential equation
According to Euler Method, the approximate solution at the step "n+1" is calculated as
Here . We have to find the approximate solutions at using the step size .
Thus the approximate solution at is .
Next,
Thus the approximate solution at is .
Next,
Thus the approximate solution at is .
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