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Introduction to Linear Programming with MATLAB
Introduction to Linear Programming with MATLAB
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€192.20
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A01=Bhagwat Ram
A01=Shashi Kant Mishra
advanced problem solving
Assignment Problem
Author_Bhagwat Ram
Author_Shashi Kant Mishra
Basic Feasible Solution
Category=KJT
Category=PBU
Command Window
computational mathematics
convex analysis
Convex Set
Current Basic Feasible Solution
Dual Linear Programming Problem
Dual Simplex Method
Elementary Row Operations
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Graphical Solution
Initial Basic Feasible Solution
Linear Programming Problem
mathematical optimization
MATLAB Function
MATLAB programming for optimization
matrix algebra techniques
Nonbasic Variables
operations research
Optimal Assignment
Optimal Basic Feasible Solution
Optimum Investment Amounts
Original Linear Programming Problem
Pivot Column
Pivot Row
Primal Linear Programming Problem
Row Reduction
Simplex Method
Symbolic Math Toolbox
Transportation Problem
Weak Duality Theorem
Product details
- ISBN 9781138092266
- Weight: 620g
- Dimensions: 156 x 234mm
- Publication Date: 23 Aug 2017
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Hardback
This book is based on the lecture notes of the author delivered to the students at the Institute of Science, Banaras Hindu University, India. It covers simplex, revised simplex, two-phase method, duality, dual simplex, complementary slackness, transportation and assignment problems with good number of examples, clear proofs, MATLAB codes and homework problems. The book will be useful for both students and practitioners.
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 to Linear Programming with MATLAB
€192.20
