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008 210927b ||||| |||| 00| 0 eng d
020 _a9788120346789
082 _a621.381952
_bDEB
100 _aDeb, Kalyanmoy
_93794
245 _aOptimization for engineering design: algorithms and examples
250 _a2nd
260 _bPHI Learning Pvt. Ltd.
_aNew Delhi
_c2018
300 _axviii, 421 p.
365 _aINR
_b450.00
504 _aPreface Preface to the First Edition • Introduction • Single-variable Optimization Algorithms • Multivariable Optimization Algorithms • Constrained Optimization Algorithms • Specialized Algorithms • Nontraditional Optimization Algorithms Appendix: Linear Programming Algorithms Index
520 _aDescription: This well-received book, now in its second edition, continues to provide a number of optimization algorithms which are commonly used in computer-aided engineering design. The book begins with simple single-variable optimization techniques, and then goes on to give unconstrained and constrained optimization techniques in a step-by-step format so that they can be coded in any user-specific computer language. In addition to classical optimization methods, the book also discusses Genetic Algorithms and Simulated Annealing, which are widely used in engineering design problems because of their ability to find global optimum solutions. The second edition adds several new topics of optimization such as design and manufacturing, data fitting and regression, inverse problems, scheduling and routing, data mining, intelligent system design, Lagrangian duality theory, and quadratic programming and its extension to sequential quadratic programming. It also extensively revises the linear programming algorithms section in the Appendix. This edition also includes more number of exercise problems. The book is suitable for senior undergraduate/postgraduate students of mechanical, production and chemical engineering. Students in other branches of engineering offering optimization courses as well as designers and decision-makers will also find the book useful. This book is recommended in NIT Agartala, Tripura, Assam Engineering College, Assam, IIT Guwuhati, Asssam and NIT Silchar, Assam. Key Features • Algorithms are presented in a step-by-step format to facilitate coding in a computer language. • Sample computer programs in FORTRAN are appended for better comprehension. • Worked-out examples are illustrated for easy understanding. • The same example problems are solved with most algorithms for a comparative evaluation of the algorithms.
650 _aMathematical optimization
_9647
650 _aEngineering--Mathematical models
_93795
650 _aEngineering design
_93796
650 _aEngineering design--Mathematical models
_93797
942 _2ddc
_cBK