MARC Record from Harvard University

LEADER: 02087cam a2200313 a 4500
001 011815793-0
005 20090212095728.0
008 080117s2008 maua b 001 0 eng
010 $a 2008002537
020 $a9781568813219 (alk. paper)
020 $a156881321X (alk. paper)
035 0 $aocn191024120
040 $aDLC$cDLC$dYDXCP$dBTCTA$dBAKER$dC#P$dBWX$dDLC
050 00 $aQ183.9$b.F37 2008
082 00 $a502.85$222
100 1 $aFarin, Gerald E.
245 10 $aMathematical principles for scientific computing and visualization /$cGerald Farin, Dianne Hansford.
260 $aWellesley, Mass. :$bAK Peters,$cc2008.
300 $axiv, 280 p. :$bill. ;$c25 cm.
504 $aIncludes bibliographical references (p. 269-270) and index.
505 0 $aComputational basics -- Coordinate systems -- Background: numerical linear algebra -- Solving linear systems -- Eigen-problems -- Background: numerical calculus -- Data fitting -- Computing dynamic processes -- Finding roots -- Computing with multivariate functions -- Visualizing empirical data -- Facets -- Visualizing scalar values over 2D data -- Volume visualization -- Background: computer graphics.
520 1 $a"Many areas of scientific research, such as biology, geography, and psychology, involve gathering data and computing results. A number of software packages, such as Mathematica and Maple, have been developed to interpret and share those results with others in a meaningful way. However, without understanding the mathematics behind these programs, one might produce meaningless or erroneous results." "In this non-traditional introduction to the mathematics of scientific computation, the authors use many hands-on examples to provide the reader with the tools and insight necessary for the effective and intelligent use of such software packages."--Jacket.
650 0 $aScience$xData processing.
650 0 $aNumerical analysis$xData processing.
650 0 $aInformation visualization$xData processing.
650 0 $aComputer graphics.
700 1 $aHansford, Dianne.
988 $a20090127
906 $0DLC