Application of Partial Derivatives with Two Variables
Maxima And Minima Values.
Maximum And Minimum Values.
Tangent and Normal.
Error And Approximation.
In mathematics, a partial derivative of a function of several variables is its derivative with respect to one of those variables, with the others held constant (as opposed to the total derivative, in which all variables are allowed to vary). Partial derivatives are used in vector calculus and differential geometry.
Homogeneous function is one with multiplicative scaling behaviour - if all its arguments are multiplied by a factor, then its value is multiplied by some power of this factor.
In mathematics, a partial derivative of a function of several variables is its derivative with respect to one of those variables, with the others held constant (as opposed to the total derivative, in which all variables are allowed to vary). Partial derivatives are used in vector calculus and differential geometry.
Homogeneous function is one with multiplicative scaling behaviour - if all its arguments are multiplied by a factor, then its value is multiplied by some power of this factor.
In this presentation we will learn Del operator, Gradient of scalar function , Directional Derivative, Divergence of vector function, Curl of a vector function and after that solved some example related to above.
Gradient in math
Directional derivative in math
Divergence in math
Curl in math
Gradient , Directional Derivative , Divergence , Curl in mathematics
Gradient , Directional Derivative , Divergence , Curl in math
Gradient , Directional Derivative , Divergence , Curl
Concepts of Fuzzy morphism from George Klir book Fuzzy Sets and Fuzzy Logic Theory and Application are presented here which incudes fuzzy homomorphism, strong homomorphism, Isomorphism, endomorphism, automorphism.
In this presentation we will learn Del operator, Gradient of scalar function , Directional Derivative, Divergence of vector function, Curl of a vector function and after that solved some example related to above.
Gradient in math
Directional derivative in math
Divergence in math
Curl in math
Gradient , Directional Derivative , Divergence , Curl in mathematics
Gradient , Directional Derivative , Divergence , Curl in math
Gradient , Directional Derivative , Divergence , Curl
Concepts of Fuzzy morphism from George Klir book Fuzzy Sets and Fuzzy Logic Theory and Application are presented here which incudes fuzzy homomorphism, strong homomorphism, Isomorphism, endomorphism, automorphism.
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It includes all the basics of calculus. It also includes all the formulas of derivatives and how to carry it out. It also includes function definition and different types of function along with relation.
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ANURAG TYAGI CLASSES (ATC) is an organisation destined to orient students into correct path to achieve
success in IIT-JEE, AIEEE, PMT, CBSE & ICSE board classes. The organisation is run by a competitive staff comprising of Ex-IITians. Our goal at ATC is to create an environment that inspires students to recognise and explore their own potentials and build up confidence in themselves.ATC was founded by Mr. ANURAG TYAGI on 19 march, 2001.
VISIT US @
www.anuragtyagiclasses.com
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Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
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In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
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2.
Let Z= f(x,y) the derivative of Z with respect
to x is, if it is, when x alone varies & y remains
constant is called partial derivative of Z w.r.t
x.
It is denoted by ¶Z/¶x or fᵪ
And fᵪ y.
for
3.
Some of the most important
applications of differential calculus
are optimization problems.
In these, we are required to find the optimal (best)
way of doing something.
These problems can be reduced to
finding the maximum or minimum values
of a function.
4.
A function f has an absolute maximum
(or global maximum) at c if f(c) ≥ f(x) for
all x in D, where D is the domain of f.
The number f(c) is called the maximum value
of f on D.
5.
Similarly, f has an absolute minimum at c
if f(c) ≤ f(x) for all x in D and the number f(c)
is called the minimum value of f on D.
The maximum and minimum values of f
are called the extreme values of f.
6.
If we consider only values of x near b—for
instance, if we restrict our attention to the
interval (a, c)—then f(b) is the largest of those
values of f(x).
It is called a local
maximum value of f.
7.
Likewise, f(c) is called a local minimum value
of f because f(c) ≤ f(x) for x near c—for
instance, in the interval (b, d).
The function f also has
a local minimum at e.
8.
In general, we have the following definition.
A function f has a local maximum (or relative
maximum) at c if f(c) ≥ f(x) when x is near c.
This means that f(c) ≥ f(x) for all x in some
open interval containing c.
Similarly, f has a local minimum at c if f(c) ≤ f(x)
when x is near c.
9.
Equation of the Tangent plane and Normal
line can be made with the help of partial
derivation.
Equation of Tangent Plane to any surface at P
is given by,
(X – x)¶f/¶x + (Y – y)¶f/¶y = 0
Equation of Normal Line is given by,
(X – x)/¶f/¶x = (Y – y)/¶f/¶y
10.
Extreme value is useful for
What is the shape of a can that minimizes manufacturing
costs?
2. What is the Maximum Area or Volume which can be
obtained for particular measurements of height, length and
width?
1.
Determination of Extreme Value
Consider the function u= f(x , y). Obtain the
first and second order derivatives such as p=
fᵪ q= fᵪr= fᵪᵪ fᵪᵪ fᵪᵪ
,
,
, s= , t= .
11.
a.
I.
II.
Take p=0 and q=0 and solve. Simultaneously
obtain the Stationary Points.
(xᵪ , yᵪ),(x₁ , y₁),…. Be simultaneously points.
Consider the stationary points (xᵪ , yᵪ) and
obtain the value of r, s, t.
If rt-s²>0 then the extreme value exists.
If r<0, then value is Maximum.
If r>0, then value is Minimum.
12. b.
c.
If rt-s²<0, then the extreme value does not
exist.
If rt-s²=0, we cannot state about extreme
value & further investigation is required.
Follow the Same procedure for the other
stationary point.
Saddle Point
If rt-s²=0, then the point (xᵪ , yᵪ) is called a
Saddle point.
13. Z = f(x , y) be a continuous function of x and y
where fᵪ fᵪ the errors occurring in the
& be
measurement of the value of x & y. Then the
corresponding error ¶Z occurs in the
estimation of the value of Z.
i.e. Z+¶Z = f(x+¶x , y+¶y)
Therefore, ¶Z = f(x+¶x , y+¶y) – f(x , y).
14.
Expanding by using Taylor’s Series and
neglecting the higher order terms of ¶x &
¶y, we get,
¶Z = ¶x.¶f/¶x + ¶y.¶f/¶y
¶x is known as Absolute Error in x.
¶x/x is known as Relative Error in x
¶x/x*100 is known as Percentage Error in x.
15. In measurement of radius of base and height
of a rigid circular cone are incorrect by -1%
and 2%. Calculate Error in the Volume.
Solution,
Let r be the radius and h be the height of the
circular cone and V be the volume of the
cone.
V = π/3*r^2*h
1.
16. Thus,
¶V = ¶r.¶V/¶r + ¶h.¶V/¶h
Now,
¶r/r*100 = -1
¶h/h*100 = 2
Again,
¶V = π/3(2rh)(r/100) + π/3(r*r)2h/100
=0
So,
The Error in the measurement in the Volume is
Zero.