000			05310cam a22006258i 4500
001			9781003105213
003			FlBoTFG
005			20220711212451.0
006			m d u
007			cr |||||||||||
008			200903s2021 flu ob 001 0 eng
040			_aOCoLC-P _beng _erda _cOCoLC-P
020			_a9781003105213 _q(ebook)
020			_a1003105211
020			_z9780367613280 _q(hardback)
020			_a9781000339956 _q(ePub ebook)
020			_a1000339955
020			_a1000339912
020			_a9781000339932 _q(Mobipocket ebook)
020			_a1000339939
020			_a9781000339918 _q(electronic bk.)
020			_z9780367613303
024	7		_a10.1201/9781003105213 _2doi
035			_a(OCoLC)1198086243 _z(OCoLC)1202882020 _z(OCoLC)1223090667 _z(OCoLC)1229163315 _z(OCoLC)1230511866
035			_a(OCoLC-P)1198086243
050	0	0	_aT57.8
072		7	_aMAT _x003000 _2bisacsh
072		7	_aTEC _x029000 _2bisacsh
072		7	_aBUS _x049000 _2bisacsh
072		7	_aTBC _2bicssc
082	0	0	_a519.7/6 _223
100	1		_aShah, Nita H., _eauthor. _913090
245	1	0	_aNon-linear programming : _ba basic introduction / _cNita H. Shah and Poonam Prakash Mishra.
250			_aFirst edition.
264		1	_aBoca Raton, FL : _bCRC Press, an imprint of Taylor & Francis Group, LLC, _c2021.
300			_a1 online resource (xi, 69 pages)
336			_atext _btxt _2rdacontent
337			_acomputer _bn _2rdamedia
338			_aonline resource _bnc _2rdacarrier
490	1		_aMathematical Engineering, Manufacturing, and Management Sciences Ser.
520			_a"This book is for beginners who are struggling to understand and optimize non-linear problems. The content will help readers gain an understanding and learn how to formulate real-world problems and will also give insight to many researchers for their future prospects. It proposes a mind map for conceptual understanding and includes sufficient solved examples for reader comprehension. The theory is explained in a lucid way. The variety of examples are framed to raise the thinking level of the reader and the formulation of real-world problems are included in the last chapter along with applications. The book is self-explanatory, well synchronized and written for undergraduate, post graduate and research scholars"-- _cProvided by publisher.
505	0		_aCover -- Half Title -- Series Information -- Title Page -- Copyright Page -- Table of contents -- Preface -- Acknowledgement -- Author/Editor Biographies -- 1 One-Dimensional Optimization Problem -- 1.1 Introduction -- 1.2 Analytical Approach -- 1.3 Search Techniques -- 1.3.1 Unrestricted Search Technique -- 1.3.2 Exhaustive Search Technique -- 1.3.3 Dichotomous Search Technique -- 1.3.4 Fibonacci Search Method -- 1.3.5 Golden Section Search Method -- 1.3.6 Interpolation Method (Without Using Derivative) -- 1.3.6.1 Quadratic Interpolation -- 1.3.6.2 Cubic Interpolation
505	8		_a1.4 Gradient-Based Approach -- 1.4.1 Newton Method -- 1.4.2 Secant Method -- Try Yourself -- 2 Unconstrained Multivariable Optimization -- 2.1 Introduction -- 2.2 Direct Search Methods -- 2.2.1 Random Search Method -- 2.2.2 Grid Search Method -- 2.2.3 Univariate Search Method -- 2.2.4 Pattern Search Algorithm -- 2.2.4.1 Hooke-Jeeves Method -- 2.2.4.2 Powell's Method -- 2.2.5 Simplex Algorithm -- 2.3 Gradient-Based Methods -- 2.3.1 Using Hessian Matrix -- 2.3.2 Steepest Descent Method -- 2.3.3 Newton's Method -- 2.3.4 Quasi Method -- Try Yourself -- 3 Constrained Multivariable Optimization
505	8		_a3.1 Introduction -- 3.2 Conventional Methods for Constrained Multivariate Optimization -- 3.2.1 Problems with Equality Constraints -- 3.2.1.1 Direct Substitution Method -- 3.2.1.2 Lagrange Multipliers Method -- 3.2.2 Problems with Inequality Constraints -- 3.2.2.1 Kuhn-Tucker Necessary Conditions -- 3.2.2.2 Kuhn-Tucker Sufficient Conditions -- 3.3 Stochastic Search Techniques -- 3.3.1 Genetic Algorithm -- 3.3.1.1 Crossover -- 3.3.2 Particle Swarm Optimization -- 3.3.3 Hill Climbing Algorithm -- 3.3.4 Simulated Annealing -- 3.3.5 Ant Colony Optimization Algorithm -- 3.3.6 Tabu Search Algorithm
505	8		_aTry Yourself -- 4 Applications of Non-Linear Programming -- 4.1 Basics of Formulation -- 4.2 Examples of NLP Formulation -- Example 1: Profit Maximization -- Production Problem -- Example 2: Cost Minimization -- Optimum Designing Problem -- Example 3: Cost Minimization -- Electrical Engineering -- Example 4: Design of a Small Heat Exchanger Network -- Chemical Engineering -- Example 5: Real-Time Optimization of a Distillation Column -- Petroleum Engineering -- 4.3 Solving NLP through MATLAB Inbuilt Functions -- 4.4 Choice of Method -- Try Yourself -- Bibliography -- Index
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aNonlinear programming. _93338
650		7	_aMATHEMATICS / Applied _2bisacsh _96859
650		7	_aTECHNOLOGY / Operations Research _2bisacsh _910871
650		7	_aBUSINESS & ECONOMICS / Operations Research _2bisacsh _916801
700	1		_aMishra, Poonam Prakash, _eauthor. _916802
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003105213
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
942			_cEBK
999			_c71344 _d71344