Dr Shashi Kant Mishra is a Professor of Mathematics at the Institute of Science at Banaras Hindu Univeristy. His areas of research are generalized convexity, vector optimization, nonsmooth optimization and variational Inequalities.

• Introduction. Introduction. Vector Spaces and Matrices. Vector. Matrix. Linear Equations. Matrix Inversion. Eigen values and Eigen vectors. Exercises. MATLAB. Introduction. Basic feature. Basic Operations in MATLAB. Selection Statements and Loop Statements. User Defined Function. MATLAB Functions Defined in This Book. Exercises. Introduction to Linear Programming. Introduction. Simple Examples of Linear programs. Convex Sets. Graphical Solution of Linear Programming problem. Exercises. Contents. The Simplex Method. Standard Form of Linear Programming Problem. Basic Solutions. Properties of Basic Solutions. Simplex Algorithm. Two Phase Simplex Method. Exercises. The Revised Simplex Method. Introduction. Matrix Form of the Revised Simplex Method. The Revised Simplex Algorithm. Exercise. Duality. Dual Linear Programs. Properties of Dual Problems. The Dual Simplex Method. Exercises. The Transportation Problem. Introduction. Balanced Transportation Problem. North West Corner Method. Least Cost Method. Vogel's Approximation Method. Optimal Solution from BFS. Exercises. The Assignment Problem. Introduction. Hungarian Method. Exercises. Answer Keys. Bibliography. Index

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Dr Shashi Kant Mishra is a Professor of Mathematics at the Institute of Science at Banaras Hindu Univeristy. His areas of research are generalized convexity, vector optimization, nonsmooth optimization and variational Inequalities.

• Introduction. Introduction. Vector Spaces and Matrices. Vector. Matrix. Linear Equations. Matrix Inversion. Eigen values and Eigen vectors. Exercises. MATLAB. Introduction. Basic feature. Basic Operations in MATLAB. Selection Statements and Loop Statements. User Defined Function. MATLAB Functions Defined in This Book. Exercises. Introduction to Linear Programming. Introduction. Simple Examples of Linear programs. Convex Sets. Graphical Solution of Linear Programming problem. Exercises. Contents. The Simplex Method. Standard Form of Linear Programming Problem. Basic Solutions. Properties of Basic Solutions. Simplex Algorithm. Two Phase Simplex Method. Exercises. The Revised Simplex Method. Introduction. Matrix Form of the Revised Simplex Method. The Revised Simplex Algorithm. Exercise. Duality. Dual Linear Programs. Properties of Dual Problems. The Dual Simplex Method. Exercises. The Transportation Problem. Introduction. Balanced Transportation Problem. North West Corner Method. Least Cost Method. Vogel's Approximation Method. Optimal Solution from BFS. Exercises. The Assignment Problem. Introduction. Hungarian Method. Exercises. Answer Keys. Bibliography. Index

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Dr Shashi Kant Mishra is a Professor of Mathematics at the Institute of Science at Banaras Hindu Univeristy. His areas of research are generalized convexity, vector optimization, nonsmooth optimization and variational Inequalities.

• Introduction. Introduction. Vector Spaces and Matrices. Vector. Matrix. Linear Equations. Matrix Inversion. Eigen values and Eigen vectors. Exercises. MATLAB. Introduction. Basic feature. Basic Operations in MATLAB. Selection Statements and Loop Statements. User Defined Function. MATLAB Functions Defined in This Book. Exercises. Introduction to Linear Programming. Introduction. Simple Examples of Linear programs. Convex Sets. Graphical Solution of Linear Programming problem. Exercises. Contents. The Simplex Method. Standard Form of Linear Programming Problem. Basic Solutions. Properties of Basic Solutions. Simplex Algorithm. Two Phase Simplex Method. Exercises. The Revised Simplex Method. Introduction. Matrix Form of the Revised Simplex Method. The Revised Simplex Algorithm. Exercise. Duality. Dual Linear Programs. Properties of Dual Problems. The Dual Simplex Method. Exercises. The Transportation Problem. Introduction. Balanced Transportation Problem. North West Corner Method. Least Cost Method. Vogel's Approximation Method. Optimal Solution from BFS. Exercises. The Assignment Problem. Introduction. Hungarian Method. Exercises. Answer Keys. Bibliography. Index

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