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