Roots of Equations
Mathematical Approximation
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.
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.