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Description 0
This series is completely for beginners if you don’t know the basics its completely fine then also you can easy learn from this series and understand the complex concept of maths 1 in a easy way
Branches Covered ( Comps , Mechanical , Civil , EXTC , Electrical , Electronics , IT )
Handmade Notes : Notes are Brilliant , Easy Language , East to understand ( Student Feedback )
Exam ke Pehle Notes ek baar Dekhlo revision aise hi hojata haiNo items in this section -
Numerical solutions 2
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Taylor’s Series 09 minLecture2.1
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Maclaurin Series 09 minLecture2.2
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Fourier Series 8
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Introduction to Fourier series 23 minLecture3.1
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Fourier Series solved example 31 minLecture3.2
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Even and Odd theory concept in Fourier Series 13 minLecture3.3
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Even Solved Example 24 minLecture3.4
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Odd solved Example 13 minLecture3.5
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Half range cosine and sine Theory Concept 03 minLecture3.6
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Half range cosine solved example 17 minLecture3.7
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Half range sine Solved example 12 minLecture3.8
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Partial Differentiation 9
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Introduction of Partial Differentiation 10 minLecture4.1
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Example of Function of Function 12 minLecture4.2
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Variable Treated As Constant 10 minLecture4.3
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Composite Function 12 minLecture4.4
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Composite Function ExampleLecture4.5
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Implicit Function 07 minLecture4.6
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Homogeneous Function (Eulers Theorem) 16 minLecture4.7
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Reducible To Homogeneous Function (Euler’s Modified Theorem) 16 minLecture4.8
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Maxima and Minima 16 minLecture4.9
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Matrices 4
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Basics of Matrix 10 minLecture5.1
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Rank of Matrix by Normal Form 13 minLecture5.2
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PAQ 14 minLecture5.3
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Linear Dependence and Independence 13 minLecture5.4
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Linear Algebra / Matrices 7
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Introduction to Matrices 07 minLecture6.1
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Eigen value and Eigen vector in Matrices 17 minLecture6.2
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Eigen value and Eigen vectors for Types of Matrices 06 minLecture6.3
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Cayley Hamilton Theorem Full Basics 09 minLecture6.4
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Cayley Hamilton Theorem with Example Part 2 05 minLecture6.5
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Cayley Hamilton Theorem with Example Part 3 04 minLecture6.6
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Orthogonal Matrix with Solved Example 09 minLecture6.7
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Notes 2
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Fourier Series NotesLecture7.1
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Matrices NotesLecture7.2
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