Some questions from a numerical analysis book

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Discussion Overview

The discussion revolves around numerical analysis, specifically focusing on root-finding algorithms and their relation to other numerical methods such as differentiation. Participants explore the definitions and applications of these algorithms, as well as their understanding of related concepts in mathematics and physics.

Discussion Character

  • Exploratory
  • Technical explanation
  • Conceptual clarification
  • Debate/contested

Main Points Raised

  • Some participants inquire whether all methods discussed in a numerical analysis book are categorized as root-finding algorithms.
  • One participant explains that a solution to a polynomial equation is termed a root, and numerical methods can be used to approximate these roots when exact expressions are unavailable.
  • Another participant asserts that a numerical algorithm solving the equation ##\mathbf{F}(\mathbf{x}) = 0## is indeed a root-finding algorithm.
  • There is a question raised about the purpose of numerical differentiation, with some participants suggesting it does not fall under root-finding.
  • A participant describes the content of a numerical analysis book, mentioning topics such as solving equations, numerical differentiation, and calculating integrals.
  • One participant reflects on the relationship between derivatives, differential equations, and natural phenomena, expressing uncertainty about their understanding of these concepts.
  • A later reply provides an example using Newton's second law to illustrate how derivatives appear in differential equations, while another participant clarifies that displacement, velocity, acceleration, and jerk are distinct quantities.

Areas of Agreement / Disagreement

Participants express differing views on whether all numerical methods discussed are root-finding algorithms, and there is no consensus on the relationship between numerical differentiation and root-finding. The discussion includes both agreement on certain definitions and ongoing questions about the concepts involved.

Contextual Notes

Some participants express uncertainty regarding basic mathematical concepts, which may affect their understanding of more advanced topics in numerical analysis. There are also unresolved questions about the definitions and applications of various numerical methods.

awholenumber
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Can't find what this is about ...
 
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rosekidcute said:
Are all these called root finding algorithms? All of it ?
This is a 300 page book. You will have to specify what you are talking about.
 
for example , for a polynomial ,

a solution of a polynomial equation is also called a root of the polynomial .

a value for the variable that makes the polynomial zero

if you can't find an exact expression, then you can use numerical methods to get approximations .

with numerical methods you can choose how close to zero you want, and it will give you a value that's at least that close

Are we trying to find the roots with all these types of numerical methods ? or is it called finding something else ?
 
Generally speaking, a numerical algorithm that allows you to solve a problem of the type ##\mathbf{F}(\mathbf{x}) = 0## is indeed called a root-finding algorithm.
 
So what are we trying to do when we use numerical differentiation ? I don't think its called root finding ? is it ?
 
rosekidcute said:
So what are we trying to do when we use numerical differentiation ? I don't think its called root finding ? is it ?
No, it is called numerical differentiation.
 
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OK , thanks
 
A book on Numerical Analysis typically discusses techniques for solving equations, finding derivatives numerically, and calculating integrals numerically. It might also discuss techniques for finding matrix inverses, finding eigenvalues and eigenvectors of matrices, and other topics.
 
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  • #10
Thanks
 
  • #11
Really, though, @rosiekidcute, if you're struggling with basic concepts like fractions, factoring, and trig (as in recent threads), it's not very likely that you will understand topics in numerical analysis or partial differential equation.
 
  • #12
I keep thinking of naturally occurring things whenever i think of derivatives , differential equations and partial differential equations .Like electricity , magnetic field .
I am always like if there is a derivative in a differential equation , how could have that happened ? what could have made it like that . Maybe i should stop thinking about it that way .Its just some rules , Maybe its my lack of experience .
 
  • #13
rosekidcute said:
I keep thinking of naturally occurring things whenever i think of derivatives , differential equations and partial differential equations .Like electricity , magnetic field .
I am always like if there is a derivative in a differential equation , how could have that happened ? what could have made it like that .
No need to invoke electricity or magnetism. Consider Newton's second law for an object with a fixed mass: F=ma. Force equals mass times acceleration.

That acceleration is a the first derivative of velocity. ##F=m \frac{dv}{dt}##.
That velocity is the first derivative of position. ##F = m \frac{d^2x}{dt^2}##.
If we are dealing with a mass on a spring, that force is also given by Hooke's Law: F = -kx.
So we have ##-kx = m \frac{d^2x}{dt^2}##

That's a differential equation. (A second order homogeneous linear differential equation. There is a straightforward crank-and-grind approach to solving those).
 
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  • #14
Thanks ,

function.png


Same things right ?
 
  • #15
rosekidcute said:
View attachment 205477

Same things right ?
No, these are different quantities: displacement, velocity, acceleration, and jerk.
 
  • #16
Right , sorry about that .
 

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