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Numerical Methods Homework Help in MATLAB

Numerical Methods are a set of procedures or techniques used to provide solutions to problems facing continuous variables. Such problems arise in Businesses, Engineering, Social Sciences, Medicine, and Natural Science. The development in technology and the availability of powerful Digital Computers has resulted increased application of Mathematical Models in the Engineering and Science Disciplines. Sophisticated numerical analysis helps to solve these complex models. MATLAB, being both programming language and a statistical analysis tool, is one of the programs used for numerical analysis, it provides a host of mathematical techniques and a method for analysing numerical data.

The topic has proven troublesome for students of MATLAB for years, which has led to an increase in demand of Numerical Methods Assignment Help. At Ozpaperhelp.com, we provide this service to students across the globe, making it easier for them to score better in this subject without breaking a sweat. Taking help with numerical methods assignments from us also allows students to focus on other coursework projects that may demand equal attention.

USE OF MATLAB FOR NUMERICAL ANALYSIS

Numerical Analysis involves all the aspects of the solution of a problem right from its theoretical development and understanding of what numerical methods should be used to the practical implementation of the solution. Here are the scenarios in which the application of MATLAB is necessary:

· If you are facing a problem which isn’t possible to solve directly. You can replace the problem with a “nearby problem” to make it easier to solve. Examples include using interpolation to develop root-finding methods and integration methods.

· When there is a huge concern with error, its analytical form, and size. When estimating a problem, it is important to comprehend the form of the error present in the end of solution. Understanding the nature of error which enables the effective creation of extrapolation processes that enhances the behaviour of the numerical method used.

·To understand the consequences of using fixed precision numerical methods, it is particularly important in linear algebra because large problems can contain many round errors.

·To measure the efficacy of an algorithm. This would help you find out how one algorithm compares with another.

Statistical Techniques performed by our Experts of Numerical Methods using MATLAB

MATLAB comes with jack-packed functions for performing numerical analysis. Our Numerical Methods Homework Helpers discussed that it can be also used to implement the following statistical techniques:

· Ordinary Differential Equations: These are a set of differential equations whereby the solutions are functions of a single variable. Ordinary differential equations usually focus on the boundary value problems and initial value problems.

· Best Approximations: In best approximations, a function is estimated within a specific finite dimension of computable functions.

· Rate of Convergence: This is the total speed at which a convergence reaches its limit.

· Order of Accuracy: The order of accuracy is the rate at which the numerical solution of differential equations meets the exact solution.

· Smoothing: This is the process of measuring the expected performance of a given algorithm under minor perturbations of worst-case inputs.

·Collocation Method: This technique discretized continuous equations by requiring them to only hold at specific points.

· Interval Arithmetic: The interval arithmetic is used to display numbers using two floating-point numbers that have an unidentified number between them.

· Interval Propagation: This technique is carried out to contract interval domains without removing the values that are consistent with the constraints.

· Newton-Raphson Division: The Newton-Raphson division methods is used to determine the reciprocal of a given value and multiply that reciprocal with another value to determine the final quotient.

· Bareiss Algorithm: This method is used to ensure that every entry remains integer only if original matrix already has integer entries.

There are many more statistical techniques that can be performed using MATLAB that we have not mentioned here. Our numerical methods experts are well versed in all these techniques and would be happy to offer academic assistance to those who find trouble in understanding these techniques. Whether you are looking for numerical methods tutors to have certain concepts explained or an assignment helper to have your homework drafted professionally, we have the best team for the work.

You just need to reach out to use with your numerical methods problems and we will fix it for you.

Here are some examples of MATLAB Coding:-

Example of recursive code:

function y = ten_exp(n)
% This is a recursive program for computing y = 10^n.
% The program works only if n is a nonnegative integer.
% If n is negative, the algorithm won't stop. 

if n == 0
    y = 1

else
    n  %<< this line is not needed but for inspection
    y = 10 * ten_exp(n-1)

 

Recursivity to solve Factorials

function y = fact(n)

% We have the highest number
y = n 

% We go down to 0
if n == 0
    y = 1  
else
    % We multiply by all the integers before ours,
    % one at a time...
    y = y * fact(n-1)

end 

 

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