Roots of Equations

Introduction
The purpose of calculating the roots of an equation to determine the values of x for which holds:
f(x) =0
The determination of the roots of an equation is one of the oldest problem and there have been many efforts in this regard. His importance is that if we can determine the roots of an equation. we can also determine the maximum and minimum, own values of a counterfoils, solve system of liner and differential equations.

Some methods used to obtain roots of an equation are:

Bracketing Methods
These techniques are called Bracketing methods because two initial guesses for the root are required.As the name implies , these guesses must bracket or be on either side of the root. The particular methods described herein employ different strategies to systematically reduce the width of the bracket and, hence , home in on correct answer.

-Graphical Method
-The Bisection Method

Open Methods
The open methods described are based on formulas that require only a single starting value of x or two starting values that do not necessarily bracket the root. As such, they sometimes diverge or move away from the root.

-Newton Raphson Method
-The Secant Method





Mathematical Approximation


Significant Figures
When uising a number in a calculation ther must be assurance that can be used with confidence.The Concept of Significant figures has two important implications in the study of numerical methods.

  • The Numerical Methods obtain approximate results. Therefore criterion should be developed to specify how accurate are the results obtained.
  • Although some numbers represent specific number can be expressed exactly.

The significant figures of a number are those that can be used with confidence. They correspond to the numbers of certain digits plus one estimated digit.

Example

pi= 3,14159265358979......

Because the computer retains only a finite numbers of signicant figures, such number can ever be represent exactly. The omission of the remaining figures is called round-off error.

Accuracy and Precision ( Watch Video)

The error in calculations and measures can be characterized with regard to their accuracy and precision. Accuracy refers to how closely a computed or measured value agrees with the tre value. Precision refers to how closely individual computed or measured values agree with each other.

Inaccuracy is defined as systematic deviation from the truth. The Imprecision refers to the dispersion.

Error Definitions and The Taylor Series ( Document ) ( Excel )


Numerical Methods

Numerical Methods are techniques by which mathematical problems can be formulated in such a way tha can be solved using arithmetic.The numerical analysis to devise methods to " aproximate" efficiently solutions to problems espressed mathematically. The Main objective of numerical analysis is to find solutions " approximate" to complex problems using only the simplest operations.


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Mathematicals Model
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Roots of Equations

MATHEMATICALS MODELS


In the first place we can define a Mathematical Model as a formulation or equation that expresses the main features of a Physical system or a Process in Mathematical terms.

Mathematical models are used particularly in natural sciences and engineering disciplines ( Physics, Biology, Meteorology, and Electrical Engineering) but also in social sciences ( Economics, Sociology and Political Science), physicists, engineers, computer scientists,and economists use mathematicals models mos extensively.

Mathematical models can take many forms,including but not limited dynamical systems, statistical models, differential equations, or game - theoretical models. These and other types of models can overlap with a given model involving a variety of abstract structures.

In General the model can be represented with the next functional relationship :
dependent variable = f (independent variable, parameters, forcing functions)
The dependent Variable is a feature that usually represent the behaviour or system's state, the Independents variables are dimensions as the time and space through which is determinate the system's behaviour. The Parameters are reflective of properties or system's composition. Finally the forcing functions are external influences acting upon the system.
we can obtain analytical or numerical solutions of a problem.The Firsts usally are accurate and the latter are aproximate.