000 05001cam a22003738i 4500
999 _c48184
_d48184
001 19877924
003 CITU
005 20230323144015.0
008 170810s2017 flu b 001 0 eng
010 _a 2017011400
020 _a9781498762113 (hardback : alk. paper)
020 _a9781138746084 (paperback)
020 _z9781315119519 (ebook)
040 _aDLC
_beng
_erda
_cDLC
_dDLC
041 _aeng.
042 _apcc
050 0 0 _aTP155.7
_b.K344 2018
082 0 0 _a660/.28
_223
100 1 _aKaisare, Niket S.,
_eauthor.
245 1 0 _aComputational techniques for process simulation and analysis using MATLAB® /
_cNiket S. Kaisare.
264 1 _aBoca Raton :
_bTaylor & Francis, CRC Press,
_c[2018]
264 4 _cc2018
300 _axxiii, 537 pages ;
_c26 cm
336 _atext
_btxt
_2rdacontent
337 _aunmediated
_bn
_2rdamedia
338 _avolume
_bnc
_2rdacarrier
504 _aIncludes bibliographical references and index.
505 _aCHAPTER 1 INTRODUCTION1.1. A GENERAL MODEL1.2. STRUCTURE OF A MATLAB CODE1.3. APPROXIMATIONS AND ERRORS IN NUMERICAL METHODS1.4. ERROR ANALYSIS1.5. PROCESS EXAMPLES: A PRELUDECHAPTER 2 LINEAR ALGEBRA2.1. INTRODUCTION2.2. VECTOR SPACES2.3. SINGULAR VALUE DECOMPOSITION2.4. EIGENVALUES AND EIGENVECTORS2.5. EPILOGUE2.6. EXERCISESCHAPTER 3 ORDINARY DIFFERENTIAL EQUATIONS: EXPLICIT METHODS3.1. GENERAL SETUP3.2. SECOND ORDER METHODS - A JOURNEY THROUGH THE WOODS3.3. HIGHER-ORDER RUNGE-KUTTA METHODS3.4. MATLAB ODE45 SOLVER: OPTIONS AND PARAMETERIZATION3.5. CASE STUDIES AND EXAMPLES3.6. EPILOGUE3.7. EXERCISESCHAPTER 4 PARTIAL DIFFERENTIAL EQUATIONS IN TIME4.1. GENERAL SETUP4.2. A BRIEF OVERVIEW OF NUMERICAL METHODS4.3. HYPERBOLIC PDE: CONVECTIVE SYSTEMS4.4. PARABOLIC PDE: DIFFUSIVE SYSTEMS4.5. CASE STUDIES AND EXAMPLES4.6. EPILOGUE4.7. EXERCISESCHAPTER 5 SECTION WRAP-UP: SIMULATION AND ANALYSIS5.1. BINARY DISTILLATION COLUMN: STAGED ODE MODEL5.2. STABILITY ANALYSIS FOR LINEAR SYSTEMS5.3. COMBINED PARABOLIC PDE WITH ODE-IVP: POLYMER CURING5.4. TIME VARYING INLET CONDITIONS AND PROCESS DISTURBANCES5.5. SIMULATING SYSTEM WITH BOUNDARY CONSTRAINTS5.6. WRAP-UP5.7. EXERCISESCHAPTER 6 NONLINEAR ALGEBRAIC EQUATIONS6.1. GENERAL SETUP6.2. EQUATIONS IN SINGLE VARIABLE6.3. NEWTON-RAPHSON: EXTENSIONS AND MULTI-VARIATE6.4. MATLAB SOLVERS6.5. CASE STUDIES AND EXAMPLES6.6. EPILOGUE6.7. EXERCISES CHAPTER 7 SPECIAL METHODS FOR LINEAR AND NONLINEAR EQUATIONS7.1. GENERAL SETUP7.2. TRI-DIAGONAL AND BANDED SYSTEMS7.3. ITERATIVE METHODS7.4. NONLINEAR BANDED SYSTEMS7.5. EXAMPLES7.6. EPILOGUE7.7. EXERCISESCHAPTER 8 IMPLICIT METHODS: DIFFERENTIAL AND DIFFERENTIAL ALGEBRAIC SYSTEMS8.1. GENERAL SETUP8.2. MULTI-STEP METHODS FOR DIFFERENTIAL EQUATIONS8.3. IMPLICIT SOLUTIONS FOR DIFFERENTIAL EQUATIONS8.4. DIFFERENTIAL ALGEBRAIC EQUATIONS (DAES)8.5. CASE STUDIES AND EXAMPLES8.6. EPILOGUE8.7. EXERCISESCHAPTER 9 SECTION WRAP-UP: NONLINEAR ANALYSIS9.1. NONLINEAR ANALYSIS OF CHEMOSTAT: "TRANSCRITICAL" BIFURCATION9.2. NON-ISOTHERMAL CSTR: "TURNING-POINT" BIFURCATION9.3. LIMIT CYCLE OSCILLATIONS9.4. SIMULATION OF METHANOL SYNTHESIS IN TUBULAR REACTOR9.5. TRAJECTORY OF A CRICKET BALL9.6. EXERCISESCHAPTER 10 REGRESSION AND PARAMETER ESTIMATION10.1. GENERAL SETUP10.2. LINEAR LEAST-SQUARES REGRESSION10.3. REGRESSION IN MULTIPLE VARIABLES10.4. NONLINEAR ESTIMATION10.5. CASE STUDIES AND EXAMPLES10.6. EPILOGUE10.7. EXERCISES
520 _aSummary: MATLAB® has become one of the prominent languages used in research and industry and often described as "the language of technical computing". The focus of this book will be to highlight the use of MATLAB® in technical computing; or more specifically, in solving problems in Process Simulations. This book aims to bring a practical approach to expounding theories: both numerical aspects of stability and convergence, as well as linear and nonlinear analysis of systems. The book is divided into three parts which are laid out with a "Process Analysis" viewpoint. First part covers system dynamics followed by solution of linear and nonlinear equations, including Differential Algebraic Equations (DAE) while the last part covers function approximation and optimization. Intended to be an advanced level textbook for numerical methods, simulation and analysis of process systems and computational programming lab, it covers following key points ? Comprehensive coverage of numerical analyses based on MATLAB for chemical process examples. ? Includes analysis of transient behavior of chemical processes. ? Discusses coding hygiene, process animation and GUI exclusively. ? Treatment of process dynamics, linear stability, nonlinear analysis and function approximation through contemporary examples. ? Focus on simulation using MATLAB to solve ODEs and PDEs that are frequently encountered in process systems.
630 0 0 _aMATLAB.
650 0 _aChemical processes
_xMathematical models.
650 0 _aChemical processes
_xComputer simulation.
942 _2ddc
_cBK