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About this Course
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Engineering Mathematics - III [Module 1] :- LINEAR ALGEBRA / MATRICES
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- Introduction to Matrices
- Eigen value and Eigen vector in Matrices
- Eigen value and Eigen vectors for Types of Matrices
- Cayley Hamilton Theorem with Example Part 1
- Cayley Hamilton Theorem with Example Part 2
- Cayley Hamilton Theorem with Example Part 3
- Monic and Minimal Polynomial of a Matrix
- Algebraic multiplicity And Geometric multiplicity
- Functions of a Square Matrix in Matrices
- Reduction of Quadratic form to Canonical form
- Orthogonal Matrix with Solved Example
- Matrices Notes
- Matrices Practice Problem and Solution Key
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Engineering Mathematics - III [Module 2] :- LINEAR PROGRAMMING PROBLEM LPP
- Basics of simplex method in LPP
- Standard form of LPP Simplex Method
- Types of Solutions in Simplex Method in LPP
- How to Solve LPP using Simplex method
- LPP Using Big M method ( Penalty Method )
- Duality of LPP ( Primal and Dual )
- Relationship between Primal and Dual
- Dual Simplex Method in LPP
- Linear Programming Problems Notes
- Linear Programming Practice Problem and Solution K
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Engineering Mathematics - III [Module 3] :- Non Linear Programming Problems
- 1. Nonlinear Programming Problems with no constraint
- 2. Nonlinear Programming Problems with one equality constraint
- 3-Nonlinear Programming Problems with more than one equality constraint
- 4-Example of Nonlinear Programming Problems with more than one equality constraint
- 5-Nonlinear Programming Problems using Kuhn-Tucker conditions
- 6- General nonlinear Programming Problems using Kuhn-Tucker conditions
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Engineering Mathematics - III [Module 4] :- Fourier Series
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Engineering Mathematics - III [Module 5] :- Statistical Techniques
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Engineering Mathematics - III [Module 6] :- Probability
- Introduction to Probability Distribution
- Discrete Random Variable in Probability Distribution
- Distribution function of Discrete Random Variable
- Continuous Random Variable in Probability Distribution
- Continuous Distribution Function in Probability Distribution
- Expectation in Probability Distribution
- Mean and Variance Part 1 in Probability Distribution
- Mean and Variance Part 2 in Probability Distribution
- Moments and Moments Generating Function Part #1 in Probability Distribution
- Moments and Moments Generating Function Part #2 in Probability Distribution
- Probability Notes
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Engineering Mathematics - III [Module 7] :- Modular Arithmetics
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Discrete Structures & Graph Theory [Module 1] :- Logic
- Laws Of Logic
- Logical Equivalence
- Statement forms Tautology Contradiction and Contingency | Part 1 |
- Statement forms Tautology Contradiction and Contingency | Part 2 |
- Mathematical Induction | Part 01 |
- Mathematical Induction | Part 02 |
- Mathematical Induction | Part 03 |
- Logical Statements and Symbolization
- CNF and DNF
- Converse, Inverse & Contrapositive
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Discrete Structures & Graph Theory [Module 2] :- Relations & Functions
- Set Theory | Part 1 |
- Set Theory | Part 2 |
- Set Theory | Part 3 |
- Set Theory | Part 4 |
- Set theory | Part 5 |
- Inclusion-Exclusion Principle
- Warshall Algorithm
- Warshall’s Algorithm – Numerical #2
- Warshall’s Algorithm – Numerical #1
- Bijective Function & Numerical
- Functions – Numerical #1
- Equivalence Relation #1
- Generating Functions – Numerical #1
- Exponential Generating Function – Numerical
- Functions (f o g o h , g o h o f) – Numerical
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Discrete Structures & Graph Theory [Module 3] :- Posets & Lattice
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Discrete Structures & Graph Theory [Module 4] :- Counting
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Discrete Structures & Graph Theory [Module 5] :-Algebraic Structures
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Discrete Structures & Graph Theory [Module 6] :- Graph Theory
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Discrete Structures & Graph Theory [Notes] :-
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Discrete Structures and Graph Theory [Viva Question]:-
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Discrete Structures & Graph Theory [ IMPs ] :-
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Computer Organization and Architecture [Module 1]:- Computer Fundamentals
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Computer Organization and Architecture [Module 2]:- ALU Operations
- Booth’s Algorithm with Solved Example Part #1
- Booth’s Algorithm with Solved Example Part #2
- Booth’s Algorithm with Solved Example Part #3
- Restoring Division Part #1
- Restoring Division Part #2
- Non Restoring Division Part #1
- Non Restoring Division Part #2
- Binary Numeric Data Representation
- Floating Point Number Representation in IEEE 754
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Computer Organization and Architecture [Module 3]:- Processor Organization and Architecture
- 8086 Addressing Modes
- Hardwired Control Unit
- Microprogrammed Control Unit
- Hardwired CU vs Micro-programmed CU
- Pipelining Hazards
- RISC Microprocessor
- CISC Microprocessor
- Instruction Cycles and Interrupt Mechanism
- Half and Full Adder
- Multiplexer and demultiplexer
- S-R Flip Flop
- J-k Flip Flop
- D Flip Flop & T Flip Flop
- Addressing Modes – Part 01
- Addressing Modes – Part 02
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Computer Organization and Architecture [Module 4]:- Memory Organization
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Computer Organization and Architecture [Module 5]:- I / O Organization
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Computer Organization and Architecture [Module 6]:- Parallel Processing
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Computer Organization and Architecture [Notes]:-
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AOA [Module 1] :- Introduction
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AOA [Module 2] :- Divide and Conquer Approach
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AOA [Module 3] :- Greedy Method Approach
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AOA [Module 4] :- Dynamic Programming Approach
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AOA [Module 5] :- Backtracking and Branch and bound
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AOA [Module 6] :- String Matching Algorithms
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AOA:- Importance with Solution
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AOA:- Viva
Basics of simplex method in LPP
Basics of simplex method in LPP
Simplex method is an approach to solving linear programming models by hand using slack variables, tableaus, and pivot variables as a means to finding the optimal solution of an optimization problem. Simplex tableau is used to perform row operations on the linear programming model as well as for checking optimality.
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