000 02308nam a22003258i 4500
001 CR9781108672887
003 UkCbUP
005 20200124160345.0
006 m|||||o||d||||||||
007 cr||||||||||||
008 171121s2018||||enk o ||1 0|eng|d
020 _a9781108672887 (ebook)
020 _z9781108470407 (hardback)
040 _aUkCbUP
_beng
_erda
_cUkCbUP
050 0 0 _aTP155.2.M34
_bC55 2018
082 0 0 _a660/.2800151
_223
100 1 _aChidambaram, M.,
_eauthor.
245 1 0 _aMathematical modeling and simulation in chemical engineering /
_cM. Chidambaram.
264 1 _aCambridge :
_bCambridge University Press,
_c2018.
300 _a1 online resource (xviii, 246 pages) :
_bdigital, PDF file(s).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
500 _aTitle from publisher's bibliographic system (viewed on 26 Oct 2018).
520 _aWritten in a clear, logical and concise manner, this comprehensive resource provides discussion on essential mathematical tools, required for upgraded system performance. Understanding of basic principles and governing laws is essential to reduce complexity of the system, and this guide offers detailed discussion on analytical and numerical techniques to solve mathematical model equations. Important concepts including nonlinear algebraic equations, initial value ordinary differential equations (ODEs) and boundary value ODEs are discussed in detail. The concepts of optimization methods and sensitivity analysis, which are important from subject point of view, are explained with suitable examples. Numerous problems and MATLABĀ®/Scilab exercises are interspersed throughout the text. Several case studies involving full details of simulation are offered for better understanding. The accompanying website will host additional MATLABĀ®/Scilab problems, model question papers, simulation exercises, tutorials and projects. This book will be useful for students of chemical engineering, mechanical engineering, instrumentation engineering and mathematics.
650 0 _aChemical processes
_xMathematical models.
650 0 _aChemical engineering
_xMathematics.
776 0 8 _iPrint version:
_z9781108470407
856 4 0 _uhttps://doi.org/10.1017/9781108672887
999 _c523899
_d523897