Dr Prashant Patil
Dr Prashant Patil
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Max Min of 𝒙^𝟑+𝟑𝒙𝒚^𝟐−𝟏𝟓𝒙^𝟐−𝟏𝟓𝒚^𝟐+𝟕𝟐𝒙 || Partial Differentiation || 18mat21 || Dr Prashant Patil
In this video, the critical points or stationary points are calculated using necessary conditions and maximum and minimum points are also found.
#DrPrashantPatil#PartialDifferentiation#22MAT11#18MAT11#Lecture42
For more videos and playlist of Engineering Mathematics go through the playlists
1)18MAT41- Complex Analysis, Probability and Statistical Methods:
1) Conformal Transformations[18MAT41-Module 02]
czcams.com/play/PL1g2IG9eNHztfVyDfC_qYBldBbW6pLuvI.html
2) Complex Integration[18MAT41-Module 02]
czcams.com/play/PL1g2IG9eNHztjcUm7OvXC7JF615VP37rX.html
3) Probability Distributions[18MAT41-Module 03]
czcams.com/play/PL1g2IG9eNHztiKVyLOT59ikagyneujbUA.html
4) Joint Probability Distribution and Sampling [18MAT41-Module 05]
czcams.com/play/PL1g2IG9eNHzu8a9wzp3PtJNJ8X_Q9fqU6.html
2) 18MAT31- TRANSFORM CALCULUS, FOURIER SERIES AND NUMERICAL TECHNIQUES:
1) Laplace Transforms [18MAT31-Module 01]:
czcams.com/play/PL1g2IG9eNHzsFyqJxBws2aZaJLB8hya8O.html
2) Inverse Laplace Transform [18MAT31-Module 01]:
czcams.com/play/PL1g2IG9eNHzv0m4Z3NGPX2I8hNFANcv_p.html
3) Fourier Series | 18mat31 | Module 02 | Dr Prashant Patil
czcams.com/play/PL1g2IG9eNHzuVzlVnbb_EsCc5t3pOg5Gv.html
3) Fourier Transforms | 18mat31 | Module 03 | Dr Prashant Patil
czcams.com/play/PL1g2IG9eNHzsLt3xCgokFOk44SG9laz6J.html
4) Numerical Methods for ODE | 18mat31 | Module 04 & 05 | Dr Prashant Patil
czcams.com/play/PL1g2IG9eNHzvHY-tA51PlwFsP1s5Qwr3E.html
5) Calculus of Variations | 18mat31 | Module 05 | Dr Prashant Patil
czcams.com/play/PL1g2IG9eNHzs_1mpsKQ1NMiFBQhF5XqtT.html
2)18MAT21- Advanced Calculus and Numerical Techniques:
1) Vector Calculus [18MAT21-Module 01]:
czcams.com/play/PL1g2IG9eNHzsJ2wXNQ976nIUbr2f_3xb2.html
2) Ordinary Differential Equation of Higher order[18MAT21-Module 02]:
czcams.com/play/PL1g2IG9eNHzutcFjyVlDQb9fGdUTYsU-d.html
3) Partial Differential Equations [18MAT21-Module 03]:
czcams.com/play/PL1g2IG9eNHzu1Bobeh2ydpJERhlsJg84z.html
4) Infinite Series [18MAT21-Module 04]:
czcams.com/play/PL1g2IG9eNHztQXrB5uGwwqPJaTOOiuh2E.html
4)18MATDIP41- Additional Mathematics II:
1) Probability[18MATDIP41-Module05]
czcams.com/play/PL1g2IG9eNHztgrose3lcbZCMMjoC_mVk2.html
zhlédnutí: 14 064

Video

Max & Min of 𝒇(𝒙,𝒚)=𝒙^𝟑−𝟑𝒙^𝟐+𝒚^𝟐 || Partial Differentiation || 18mat21 || Dr Prashant Patil7:02Max & Min of 𝒇(𝒙,𝒚)=𝒙^𝟑−𝟑𝒙^𝟐+𝒚^𝟐 || Partial Differentiation || 18mat21 || Dr Prashant Patil
Max & Min of 𝒇(𝒙,𝒚)=𝒙^𝟑−𝟑𝒙^𝟐+𝒚^𝟐 || Partial Differentiation || 18mat21 || Dr Prashant Patil
zhlédnutí 559Před rokem
In this video, how to find the critical points also the maximum and minimum of 𝒇(𝒙,𝒚)=𝒙^𝟑−𝟑𝒙^𝟐 𝒚^𝟐 is evaluated step by step in detail. #DrPrashantPatil#PartialDifferentiation#22MAT11#18MAT11#Lecture41 For more videos and playlist of Engineering Mathematics go through the playlists 1)18MAT41- Complex Analysis, Probability and Statistical Methods: 1) Conformal Transformations[18MAT41-Module 02] ...
Introduction of Max Min of functions of two variables Partial Differentiation || Dr Prashant Patil12:19Introduction of Max Min of functions of two variables Partial Differentiation || Dr Prashant Patil
Introduction of Max Min of functions of two variables Partial Differentiation || Dr Prashant Patil
zhlédnutí 477Před rokem
This video, the introduction to finding the maximum and minimum of functions of two variables with necessary and sufficient conditions are disussed. #DrPrashantPatil#PartialDifferentiation#22MAT11#18MAT11#Lecture For more videos and playlist of Engineering Mathematics go through the playlists 1)18MAT41- Complex Analysis, Probability and Statistical Methods: 1) Conformal Transformations[18MAT41-...
How to find Jacobians of 3 variables | Partial Differentiation || 18mat21 || Dr Prashant Patil5:43How to find Jacobians of 3 variables | Partial Differentiation || 18mat21 || Dr Prashant Patil
How to find Jacobians of 3 variables | Partial Differentiation || 18mat21 || Dr Prashant Patil
zhlédnutí 622Před rokem
In this video, Jacobian of 3 variables is evaluated for the example 𝒖=𝒙^𝟐 𝒚^𝟐 𝒛^𝟐;𝒗=𝒙𝒚 𝒚𝒛 𝒛𝒙;𝒛=𝒙 𝒚 𝒛 and is showen as 𝑱=(𝝏(𝒖,𝒗,𝒘))/(𝝏(𝒙,𝒚,𝒛))=𝟎 #DrPrashantPatil#PartialDifferentiation#22MAT11#18MAT11#Lecture39 For more videos and playlists of Engineering Mathematics go through the playlists 1)18MAT41- Complex Analysis, Probability and Statistical Methods: 1) Conformal Transformations[18MAT41-Mo...
Jacobian || Important Problem || Partial Differentiation || 22MAT11|| 18mat21 || Dr Prashant Patil7:22Jacobian || Important Problem || Partial Differentiation || 22MAT11|| 18mat21 || Dr Prashant Patil
Jacobian || Important Problem || Partial Differentiation || 22MAT11|| 18mat21 || Dr Prashant Patil
zhlédnutí 2,2KPřed rokem
In this video, an important example of Jacobian is evaluated if 𝒙 𝒚 𝒛=𝒖; 𝒚 𝒛=𝒖𝒗; 𝒛=𝒖𝒗𝒘 and it is shown that 𝑱=(𝝏(𝒙,𝒚,𝒛))/(𝝏(𝒖,𝒗,𝒘))=𝒖^𝟐 𝒗 #DrPrashantPatil#PartialDifferentiation#22MAT11#18MAT11#Lecture38 For more videos and playlist of Engineering Mathematics go through the playlists 1)18MAT41- Complex Analysis, Probability and Statistical Methods: 1) Conformal Transformations[18MAT41-Module 02...
Best example | Jacobians || Curvilinear Coordinate systems|| Partial Derivatives | Dr Prashant Patil8:51Best example | Jacobians || Curvilinear Coordinate systems|| Partial Derivatives | Dr Prashant Patil
Best example | Jacobians || Curvilinear Coordinate systems|| Partial Derivatives | Dr Prashant Patil
zhlédnutí 875Před rokem
In this video, the Jacobians of curvilinear coordinate systems are evaluated in detail as 𝒙=𝒓𝒔𝒊𝒏𝜽𝒄𝒐𝒔∅; 𝒚=𝒓𝒔𝒊𝒏𝜽𝒔𝒊𝒏∅; 𝒛=𝒓𝒄𝒐𝒔𝜽 in terms of 𝑱=(𝝏(𝒙,𝒚,𝒛))/(𝝏(𝒓,𝜽,∅))=𝒓^𝟐 𝒔𝒊𝒏𝜽 #DrPrashantPatil#PartialDifferentiation#22MAT11#18MAT11#Lecture37 For more videos and playlist of Engineering Mathematics go through the playlists 1)18MAT41- Complex Analysis, Probability and Statistical Methods: 1) Conformal Tr...
Jacobians of 𝒙+𝒚+𝒛=𝒖; 𝒚+𝒛= 𝒗; 𝒛=𝒖𝒗𝒘 || Partial Differentiation || 22mat21 || Dr Prashant Patil7:03Jacobians of 𝒙+𝒚+𝒛=𝒖; 𝒚+𝒛= 𝒗; 𝒛=𝒖𝒗𝒘 || Partial Differentiation || 22mat21 || Dr Prashant Patil
Jacobians of 𝒙+𝒚+𝒛=𝒖; 𝒚+𝒛= 𝒗; 𝒛=𝒖𝒗𝒘 || Partial Differentiation || 22mat21 || Dr Prashant Patil
zhlédnutí 9KPřed rokem
In this video, Jacobian 𝑱=(𝝏(𝒙,𝒚,𝒛))/(𝝏(𝒖,𝒗,𝒘)) is evaluated if 𝒙 𝒚 𝒛=𝒖;𝒚 𝒛= 𝒗;𝒛=𝒖𝒗𝒘 is given. #DrPrashantPatil#PartialDifferentiation#22MAT11#18MAT11#Lecture36 For more videos and playlist of Engineering Mathematics go through the playlists 1)18MAT41- Complex Analysis, Probability and Statistical Methods: 1) Conformal Transformations[18MAT41-Module 02] czcams.com/play/PL1g2IG9eNHztfVyDfC_qYBld...
Jacobians || 𝒖=𝒚𝒛/𝒙; 𝒗=𝒙𝒛/𝒚; 𝒘=𝒙𝒚/𝒛 || Partial Differentiation || 18mat21 || Dr Prashant Patil8:47Jacobians || 𝒖=𝒚𝒛/𝒙; 𝒗=𝒙𝒛/𝒚; 𝒘=𝒙𝒚/𝒛 || Partial Differentiation || 18mat21 || Dr Prashant Patil
Jacobians || 𝒖=𝒚𝒛/𝒙; 𝒗=𝒙𝒛/𝒚; 𝒘=𝒙𝒚/𝒛 || Partial Differentiation || 18mat21 || Dr Prashant Patil
zhlédnutí 12KPřed rokem
In this video, 𝒖=𝒚𝒛/𝒙; 𝒗=𝒙𝒛/𝒚; 𝒘=𝒙𝒚/𝒛 its jacobians is evaluated. #DrPrashantPatil#PartialDifferentiation#22MAT11#18MAT11#Lecture35 For more videos and playlist of Engineering Mathematics go through the playlists 1)18MAT41- Complex Analysis, Probability and Statistical Methods: 1) Conformal Transformations[18MAT41-Module 02] czcams.com/play/PL1g2IG9eNHztfVyDfC_qYBldBbW6pLuvI.html 2) Complex Int...
Jacobians || 𝒖=𝒙+𝟑𝒚^𝟐−𝒛^𝟑; 𝒗=𝟒𝒙^𝟐 𝒚𝒛; 𝒘=𝟐𝒛^𝟐−𝒙𝒚 || Partial Differentiation || Dr Prashant Patil8:29Jacobians || 𝒖=𝒙+𝟑𝒚^𝟐−𝒛^𝟑; 𝒗=𝟒𝒙^𝟐 𝒚𝒛; 𝒘=𝟐𝒛^𝟐−𝒙𝒚 || Partial Differentiation || Dr Prashant Patil
Jacobians || 𝒖=𝒙+𝟑𝒚^𝟐−𝒛^𝟑; 𝒗=𝟒𝒙^𝟐 𝒚𝒛; 𝒘=𝟐𝒛^𝟐−𝒙𝒚 || Partial Differentiation || Dr Prashant Patil
zhlédnutí 6KPřed rokem
In this video, Jacobians of 𝑱=(𝝏(𝒖,𝒗,𝒘))/(𝝏(𝒙,𝒚,𝒛)) if 𝒖=𝒙 𝟑𝒚^𝟐−𝒛^𝟑; 𝒗=𝟒𝒙^𝟐 𝒚𝒛; 𝒘=𝟐𝒛^𝟐−𝒙𝒚 is evaluated in detailed steps. #DrPrashantPatil#PartialDifferentiation#22MAT11#18MAT11#Lecture34 For more videos and playlist of Engineering Mathematics go through the playlists 1)18MAT41- Complex Analysis, Probability and Statistical Methods: 1) Conformal Transformations[18MAT41-Module 02] czcams.com/pla...
Definition of Jacobians || Partial Differentiation || 22MAT11|| 18mat21 || Dr Prashant Patil7:59Definition of Jacobians || Partial Differentiation || 22MAT11|| 18mat21 || Dr Prashant Patil
Definition of Jacobians || Partial Differentiation || 22MAT11|| 18mat21 || Dr Prashant Patil
zhlédnutí 359Před rokem
In this video, Jacobians is defined for two and three variables with a different set of variables. #DrPrashantPatil#PartialDifferentiation#22MAT11#18MAT11#Lecture33 For more videos and playlist of Engineering Mathematics go through the playlists 1)18MAT41- Complex Analysis, Probability and Statistical Methods: 1) Conformal Transformations[18MAT41-Module 02] czcams.com/play/PL1g2IG9eNHztfVyDfC_q...
Important example || Partial Differentiation || composite functions || 18mat21 || Dr Prashant Patil8:24Important example || Partial Differentiation || composite functions || 18mat21 || Dr Prashant Patil
Important example || Partial Differentiation || composite functions || 18mat21 || Dr Prashant Patil
zhlédnutí 4KPřed rokem
In this video, 𝒖=𝒇(𝟐𝒙−𝟑𝒚 , 𝟑𝒚−𝟒𝒛,𝟒𝒛−𝟐𝒙) is composite functions and its partial derivatives are evaluated using chain rule. #DrPrashantPatil#PartialDifferentiation#22MAT11#18MAT11#Lecture32 For more videos and playlist of Engineering Mathematics go through the playlists 1)18MAT41- Complex Analysis, Probability and Statistical Methods: 1) Conformal Transformations[18MAT41-Module 02] czcams.com/pl...
Partial Differentiation of Composite Function || 𝒇(𝒙−𝒚 , 𝒚/𝒛) || 18mat21 || Dr Prashant Patil7:42Partial Differentiation of Composite Function || 𝒇(𝒙−𝒚 , 𝒚/𝒛) || 18mat21 || Dr Prashant Patil
Partial Differentiation of Composite Function || 𝒇(𝒙−𝒚 , 𝒚/𝒛) || 18mat21 || Dr Prashant Patil
zhlédnutí 236Před rokem
In this video, using the chain rule partial differentiation of 𝒖=𝒇(𝒙−𝒚 , 𝒚/𝒛) is explained in detail. #DrPrashantPatil#PartialDifferentiation#22MAT11#18MAT11#Lecture31 For more videos and playlist of Engineering Mathematics go through the playlists 1)18MAT41- Complex Analysis, Probability and Statistical Methods: 1) Conformal Transformations[18MAT41-Module 02] czcams.com/play/PL1g2IG9eNHztfVyDf...
Chain Rule | 𝒇(𝒙/𝒚 , 𝒚/𝒛,𝒛/𝒙 ) | Composite Function | Partial Differentiation | Dr Prashant Patil9:43Chain Rule | 𝒇(𝒙/𝒚 , 𝒚/𝒛,𝒛/𝒙 ) | Composite Function | Partial Differentiation | Dr Prashant Patil
Chain Rule | 𝒇(𝒙/𝒚 , 𝒚/𝒛,𝒛/𝒙 ) | Composite Function | Partial Differentiation | Dr Prashant Patil
zhlédnutí 2KPřed rokem
In this video, the chain rule is used to find the partial derivatives of a composite function 𝒇(𝒙/𝒚, 𝒚/𝒛, 𝒛/𝒙 ) are obtained. #DrPrashantPatil#PartialDifferentiation#22MAT11#18MAT11#Lecture30 For more videos and playlist of Engineering Mathematics go through the playlists 1)18MAT41- Complex Analysis, Probability and Statistical Methods: 1) Conformal Transformations[18MAT41-Module 02] czcams.com...
Partial Differentiation || 𝒇(𝒙⁄𝒛, 𝒚⁄𝒛) || Chain Rule || Composite Function || Dr Prashant Patil8:55Partial Differentiation || 𝒇(𝒙⁄𝒛, 𝒚⁄𝒛) || Chain Rule || Composite Function || Dr Prashant Patil
Partial Differentiation || 𝒇(𝒙⁄𝒛, 𝒚⁄𝒛) || Chain Rule || Composite Function || Dr Prashant Patil
zhlédnutí 217Před rokem
In this video, Partial derivatives of composite function 𝒖=𝒇(𝒙⁄𝒛, 𝒚⁄𝒛) are evaluated using chain rule in detailed steps. #DrPrashantPatil#PartialDifferentiation#22MAT11#18MAT11#Lecture28 For more videos and playlist of Engineering Mathematics go through the playlists 1)18MAT41- Complex Analysis, Probability and Statistical Methods: 1) Conformal Transformations[18MAT41-Module 02] czcams.com/play...
Chain rule || 𝒇(𝒙−𝒚, 𝒚−𝒛, 𝒛−𝒙) || Partial Differentiation || 22MAT11 || 18mat21 || Dr Prashant Patil7:50Chain rule || 𝒇(𝒙−𝒚, 𝒚−𝒛, 𝒛−𝒙) || Partial Differentiation || 22MAT11 || 18mat21 || Dr Prashant Patil
Chain rule || 𝒇(𝒙−𝒚, 𝒚−𝒛, 𝒛−𝒙) || Partial Differentiation || 22MAT11 || 18mat21 || Dr Prashant Patil
zhlédnutí 453Před rokem
In this video, partial derivatives of a composite function 𝒖=𝒇(𝒙−𝒚, 𝒚−𝒛, 𝒛−𝒙) are evaluated using the chain rule. #DrPrashantPatil#PartialDifferentiation#22MAT11#18MAT11#Lecture27 For more videos and playlist of Engineering Mathematics go through the playlists 1)18MAT41- Complex Analysis, Probability and Statistical Methods: 1) Conformal Transformations[18MAT41-Module 02] czcams.com/play/PL1g2I...
Chain Rule of Composite Functions || Partial Differentiation || 18mat21 || Dr Prashant Patil10:14Chain Rule of Composite Functions || Partial Differentiation || 18mat21 || Dr Prashant Patil
Chain Rule of Composite Functions || Partial Differentiation || 18mat21 || Dr Prashant Patil
zhlédnutí 489Před rokem
Chain Rule of Composite Functions || Partial Differentiation || 18mat21 || Dr Prashant Patil
Composite Function | 𝒇((𝒚−𝒙)/𝒙𝒚, (𝒛−𝒙)/𝒙𝒛) | Chain Rule |Partial Differentiation | Dr Prashant Patil9:34Composite Function | 𝒇((𝒚−𝒙)/𝒙𝒚, (𝒛−𝒙)/𝒙𝒛) | Chain Rule |Partial Differentiation | Dr Prashant Patil
Composite Function | 𝒇((𝒚−𝒙)/𝒙𝒚, (𝒛−𝒙)/𝒙𝒛) | Chain Rule |Partial Differentiation | Dr Prashant Patil
zhlédnutí 1,2KPřed rokem
Composite Function | 𝒇((𝒚−𝒙)/𝒙𝒚, (𝒛−𝒙)/𝒙𝒛) | Chain Rule |Partial Differentiation | Dr Prashant Patil
Total Derivative || 𝒖=𝒙^𝟐+𝒚^𝟐+𝒛^𝟐 || Partial Differentiation || 18mat21 || Dr Prashant Patil7:01Total Derivative || 𝒖=𝒙^𝟐+𝒚^𝟐+𝒛^𝟐 || Partial Differentiation || 18mat21 || Dr Prashant Patil
Total Derivative || 𝒖=𝒙^𝟐+𝒚^𝟐+𝒛^𝟐 || Partial Differentiation || 18mat21 || Dr Prashant Patil
zhlédnutí 2,9KPřed rokem
Total Derivative || 𝒖=𝒙^𝟐 𝒚^𝟐 𝒛^𝟐 || Partial Differentiation || 18mat21 || Dr Prashant Patil
Total Derivative |𝒕𝒂𝒏^(−𝟏) (𝒚⁄𝒙) & 𝒙=𝒆^𝒕−𝒆^(−𝒕); 𝒚=𝒆^𝒕+𝒆^(−𝒕)| Partial Differentiation | Dr Prashant9:10Total Derivative |𝒕𝒂𝒏^(−𝟏) (𝒚⁄𝒙) & 𝒙=𝒆^𝒕−𝒆^(−𝒕); 𝒚=𝒆^𝒕+𝒆^(−𝒕)| Partial Differentiation | Dr Prashant
Total Derivative |𝒕𝒂𝒏^(−𝟏) (𝒚⁄𝒙) & 𝒙=𝒆^𝒕−𝒆^(−𝒕); 𝒚=𝒆^𝒕+𝒆^(−𝒕)| Partial Differentiation | Dr Prashant
zhlédnutí 8KPřed rokem
Total Derivative |𝒕𝒂𝒏^(−𝟏) (𝒚⁄𝒙) & 𝒙=𝒆^𝒕−𝒆^(−𝒕); 𝒚=𝒆^𝒕 𝒆^(−𝒕)| Partial Differentiation | Dr Prashant
Total Derivative || 𝒛=𝒙𝒚^𝟐+𝒙^𝟐 𝒚;𝒙=𝒂𝒕^𝟐;𝒚=𝟐𝒂𝒕 |Partial Differentiation| 18mat21 || Dr Prashant Patil8:15Total Derivative || 𝒛=𝒙𝒚^𝟐+𝒙^𝟐 𝒚;𝒙=𝒂𝒕^𝟐;𝒚=𝟐𝒂𝒕 |Partial Differentiation| 18mat21 || Dr Prashant Patil
Total Derivative || 𝒛=𝒙𝒚^𝟐+𝒙^𝟐 𝒚;𝒙=𝒂𝒕^𝟐;𝒚=𝟐𝒂𝒕 |Partial Differentiation| 18mat21 || Dr Prashant Patil
zhlédnutí 3,9KPřed rokem
Total Derivative || 𝒛=𝒙𝒚^𝟐 𝒙^𝟐 𝒚;𝒙=𝒂𝒕^𝟐;𝒚=𝟐𝒂𝒕 |Partial Differentiation| 18mat21 || Dr Prashant Patil
How to find total derivative |𝒖=𝑺𝒊𝒏(𝒚/𝒙) 𝒙=𝒆^𝒕 𝒚=𝒕^𝟐 || Partial Differentiation|| Dr Prashant Patil5:56How to find total derivative |𝒖=𝑺𝒊𝒏(𝒚/𝒙) 𝒙=𝒆^𝒕 𝒚=𝒕^𝟐 || Partial Differentiation|| Dr Prashant Patil
How to find total derivative |𝒖=𝑺𝒊𝒏(𝒚/𝒙) 𝒙=𝒆^𝒕 𝒚=𝒕^𝟐 || Partial Differentiation|| Dr Prashant Patil
zhlédnutí 4,6KPřed rokem
How to find total derivative |𝒖=𝑺𝒊𝒏(𝒚/𝒙) 𝒙=𝒆^𝒕 𝒚=𝒕^𝟐 || Partial Differentiation|| Dr Prashant Patil
Total Derivative using Partial Differentiation || 22mat11 || 18mat21 || Dr Prashant Patil5:43Total Derivative using Partial Differentiation || 22mat11 || 18mat21 || Dr Prashant Patil
Total Derivative using Partial Differentiation || 22mat11 || 18mat21 || Dr Prashant Patil
zhlédnutí 203Před rokem
Total Derivative using Partial Differentiation || 22mat11 || 18mat21 || Dr Prashant Patil
Total Differential using Partial Differentiation || 22mat11 || 18mat21 || Dr Prashant Patil7:06Total Differential using Partial Differentiation || 22mat11 || 18mat21 || Dr Prashant Patil
Total Differential using Partial Differentiation || 22mat11 || 18mat21 || Dr Prashant Patil
zhlédnutí 221Před rokem
Total Differential using Partial Differentiation || 22mat11 || 18mat21 || Dr Prashant Patil
Partial Differentiation || 𝒕𝒂𝒏^(−𝟏) (𝒚⁄𝒙) || 22mat11 || 18mat21 || Dr Prashant Patil9:31Partial Differentiation || 𝒕𝒂𝒏^(−𝟏) (𝒚⁄𝒙) || 22mat11 || 18mat21 || Dr Prashant Patil
Partial Differentiation || 𝒕𝒂𝒏^(−𝟏) (𝒚⁄𝒙) || 22mat11 || 18mat21 || Dr Prashant Patil
zhlédnutí 3KPřed rokem
Partial Differentiation || 𝒕𝒂𝒏^(−𝟏) (𝒚⁄𝒙) || 22mat11 || 18mat21 || Dr Prashant Patil
Partial Differentiation || 𝒇(𝒙+𝒄𝒕)+𝒈(𝒙−𝒄𝒕) || 22mat11 || 18mat21 || Dr Prashant Patil7:48Partial Differentiation || 𝒇(𝒙+𝒄𝒕)+𝒈(𝒙−𝒄𝒕) || 22mat11 || 18mat21 || Dr Prashant Patil
Partial Differentiation || 𝒇(𝒙+𝒄𝒕)+𝒈(𝒙−𝒄𝒕) || 22mat11 || 18mat21 || Dr Prashant Patil
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Partial Differentiation || 𝒆^(𝒂𝒙+𝒃𝒚) 𝒇(𝒂𝒙−𝒃𝒚) || 22mat11 || 18mat21 || Dr Prashant Patil8:05Partial Differentiation || 𝒆^(𝒂𝒙+𝒃𝒚) 𝒇(𝒂𝒙−𝒃𝒚) || 22mat11 || 18mat21 || Dr Prashant Patil
Partial Differentiation || 𝒆^(𝒂𝒙+𝒃𝒚) 𝒇(𝒂𝒙−𝒃𝒚) || 22mat11 || 18mat21 || Dr Prashant Patil
zhlédnutí 11KPřed rokem
Partial Differentiation || 𝒆^(𝒂𝒙 𝒃𝒚) 𝒇(𝒂𝒙−𝒃𝒚) || 22mat11 || 18mat21 || Dr Prashant Patil
Partial Differentiation || 𝒍𝒐𝒈(𝒙^𝟑+𝒚^𝟑+𝒛^𝟑−𝟑𝒙𝒚𝒛) || VTU maths || Dr Prashant Patil10:17Partial Differentiation || 𝒍𝒐𝒈(𝒙^𝟑+𝒚^𝟑+𝒛^𝟑−𝟑𝒙𝒚𝒛) || VTU maths || Dr Prashant Patil
Partial Differentiation || 𝒍𝒐𝒈(𝒙^𝟑+𝒚^𝟑+𝒛^𝟑−𝟑𝒙𝒚𝒛) || VTU maths || Dr Prashant Patil
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Partial Differentiation || 𝒍𝒐𝒈(𝒙^𝟑 𝒚^𝟑 𝒛^𝟑−𝟑𝒙𝒚𝒛) || VTU maths || Dr Prashant Patil
Partial Differentiation || Best example || VTU maths || Dr Prashant Patil7:48Partial Differentiation || Best example || VTU maths || Dr Prashant Patil
Partial Differentiation || Best example || VTU maths || Dr Prashant Patil
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Partial Differentiation || Best example || VTU maths || Dr Prashant Patil
Partial Differentiation || 𝑺𝒊𝒏^(−𝟏) [(𝒙^𝟐+𝒚^𝟐)/(𝒙+𝒚)] || vtu maths || Dr Prashant Patil6:55Partial Differentiation || 𝑺𝒊𝒏^(−𝟏) [(𝒙^𝟐+𝒚^𝟐)/(𝒙+𝒚)] || vtu maths || Dr Prashant Patil
Partial Differentiation || 𝑺𝒊𝒏^(−𝟏) [(𝒙^𝟐+𝒚^𝟐)/(𝒙+𝒚)] || vtu maths || Dr Prashant Patil
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Partial Differentiation || 𝑺𝒊𝒏^(−𝟏) [(𝒙^𝟐 𝒚^𝟐)/(𝒙 𝒚)] || vtu maths || Dr Prashant Patil
Partial Differentiation || 𝒖=𝒕𝒂𝒏^(−𝟏) [(𝒙^𝟑+𝒚^𝟑)/(𝒙−𝒚)] || vtu maths || Dr Prashant Patil7:58Partial Differentiation || 𝒖=𝒕𝒂𝒏^(−𝟏) [(𝒙^𝟑+𝒚^𝟑)/(𝒙−𝒚)] || vtu maths || Dr Prashant Patil
Partial Differentiation || 𝒖=𝒕𝒂𝒏^(−𝟏) [(𝒙^𝟑+𝒚^𝟑)/(𝒙−𝒚)] || vtu maths || Dr Prashant Patil
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Partial Differentiation || 𝒖=𝒕𝒂𝒏^(−𝟏) [(𝒙^𝟑 𝒚^𝟑)/(𝒙−𝒚)] || vtu maths || Dr Prashant Patil

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