FDLIB Software Library AThe software library Fdlib contains a suit of Fortran 77, MATLAB, and other com-puter programs (codes) that solve a broad range of problems in fluid dynamics and relateddisciplines by a variety of numerical methods.
Fdlib consists of the thirteen main directories (folders) listed in Table A.1. Eachmain directory contains a multitude of nested subdirectories (subfolders) that include mainprograms, assisting subroutines and functions, utility subroutines, and data files Linkedwith drivers, the utility subroutines become stand-alone modules; all drivers are provided.
A list of subdirectories and a brief statement of their contents are given in this appendix.Further information is available at the Fdlib Internet site:
http://dehesa.freeshell.org/FDLIB
Download
The source code of Fdlib consisting of computer programs and data files is available fromthe Fdlib Internet site. The directories have been archived using the tar Unix facility intoa compressed filed named FDLIB.tgz.
To unravel the directories on a Unix system, open a terminal and issue the command:tar xzf FDLIB.tgz. This will generate a directory (folder) called FDLIB that containsnested subdirectories (subfolders).
To unravel the directories on a Windows or other system, double-click on the archivedtar file and follow the on-screen instructions of the application invoked.
Installation and compilation
MATLAB programs are executed as interpreted scripts. The downloaded Fdlib packagedoes not contain Fortran 77 object files or executables. To compile and link Fortran
77 programs, follow the instructions of your compiler.
An application can be built using the makefile provided in each subdirectory. A makefileis a script interpreted by the make utility (application) that instructs the operating systemhow to compile a main program and associated functions of subroutines, and then link theobject files into an executable binary file (application) using a compiler. For example, to
854 Fluid Dynamics: Theory, Computation, and Numerical Simulation
Subject Directory
1 Numerical methods 01 num meth
2 Grids 02 grids
3 Hydrostatics 03 hydrostat
4 Various 04 various
5 Lubrication 05 lub
6 Stokes flow 06 stokes
7 Potential flow 07 ptf
8 Hydrodynamic stability 08 stab
9 Vortex motion 09 vortex
10 Boundary layers 10 bl
11 Finite difference methods 11 fdm
12 Boundary element methods 12 bem
13 Turbulence 13 turbo
Table A.1 Fdlib is arranged in thirteen main directories in a physical or computational scheme.
compile an application named sublime, navigate to the subdirectory (subfolder) where theapplication resides and issue the statement: make sublime.
To remove the object files, output files, and executable of a chosen application, navigateto the subdirectory where the application resides and issue the statement: make clean.
To compile the Fortran 77 programs using a Fortran 77 90 compiler, simply makeappropriate compiler call substitutions in the makefiles.
CFDLAB
A subset of Fdlib has been combined with the fabulous X11 graphics library vogle into anintegrated application named Cfdlab that visualizes the results of simulations and performsinteractive animation. The source code of Cfdlab can be downloaded from the Internetsite: http://dehesa.freeshell.org/CFDLAB.
BEMLIB
A subset of Fdlib containing boundary-element codes have been arranged into the libraryBemlib accompanying the book: Pozrikidis, C. (2002) A Practical Guide to Boundary-Element Methods with the Software Library BEMLIB, Chapman & Hall. The source code ofBemlibcan be downloaded from the Internet site: http://dehesa.freeshell.org/BEMLIB.
FDLIB directory contents
The public Fdlib directories are listed in the following tables along with a brief description.Further information and updates can be found at the Fdlib Internet site.
This directory contains a suite of general-purpose programs on general numerical meth-ods and differential equations that accompany the book: Pozrikidis, C. (2008) NumericalComputation in Science and Engineering, Second edition, Oxford University Press.
Subdirectory Topic
01 num comp General aspects of numerical computation
02 lin calc Linear algebra and linear calculus
03 lin eq Systems of linear algebraic equations
04 nl eq Nonlinear algebraic equations
05 eigen Eigenvalues and eigenvectors of matrices
06 interp diff Function interpolation and differentiation
This directory contains programs that perform grid generation, adaptive discretization,parametrization, representation, and meshing of planar lines, three-dimensional lines, andthree-dimensional surfaces.
Subdirectory Topic
grid 2d Discretization of a planar line into a
mesh of straight or circular elements
prd 2d Adaptive discretization of a closed line
prd 2d open Adaptive discretization of an open line
prd 2d pr Adaptive discretization of a periodic line
prd 2d pr hs Adaptive discretization of a periodic line
with mid-point symmetry
prd 2d qs Adaptive discretization of a closed line
with quarter symmetry
prd 3d Adaptive discretization of a closed
three-dimensional line
prd 3d pr Adaptive discretization of a periodic
three-dimensional line
856 Fluid Dynamics: Theory, Computation, and Numerical Simulation
prd ax Adaptive parametrization of a planar line
representing the trace of an axisymmetric
surface in an azimuthal plane
rec 2d Interpolation through a Cartesian grid
rec 2d strml Streamlines by interpolation on a Cartesian grid
sm 3d cl df Smoothing of a function on a closed surface
by surface diffusion
sm 3d cl tr Smoothing of a function on a closed surface
by Legendre spectrum truncation
trgl Triangulation of a closed surface
trgl flat Triangulation of a flat surface
03 hydrostat
This directory contains codes that generate interfacial shapes in hydrostatics.
Subdirectory Topic
drop 2d Shape of a two-dimensional pendant or sessile
drop on a horizontal plane
drop 2di Shape of a two-dimensional drop
on an inclined plane
drop ax Shape of an axisymmetric pendant
or sessile drop on a horizontal plane
flsphere Position of a sphere floating at an
interface with a curved meniscus
men 2d Shape of a two-dimensional meniscus
between two parallel plates
men 2d plate Shape of a two-dimensional meniscus
attached to an inclined plate
men 3d Shape of a three-dimensional meniscus
in the exterior of an ellipse
men 3d 2p Shape of a doubly periodic three-dimensional
meniscus attached to cylinder lattice
men ax Shape of an axisymmetric meniscus
inside a vertical circular tube
men axe Shape of an axisymmetric meniscus
in the exterior of a vertical cylinder
men cc Shape of a three-dimensional meniscus
in the exterior two vertical cylinders
Appendix A FDLIB software library 857
04 various
This directory contains miscellaneous codes that compute the structure and kinematics ofvarious flows.
Subdirectory Topic
chan 2d Steady flow in a channel
chan 2d 2l Steady two-layer flow in a channel
chan 2d imp Impulsive flow in a channel
chan 2d ml Multi-layer flow in a channel
chan 2d osc Oscillatory flow in a channel
chan 2d trans Transient flow in a channel
chan 2d wom Pulsating flow in a channel
chan brush Steady flow in a brush channel
chan pl Steady channel flow of a power-law fluid
film Film flow down an inclined plane
films Multi-film flow down an inclined plane
flow 1d Steady unidirectional flow in a tube
with arbitrary cross-section
flow 1d 1p Steady unidirectional flow over
a periodic array of cylinders
with arbitrary cross-section
flow 1d osc Oscillatory unidirectional flow in a
tube with arbitrary cross-section
path lines Computation of path lines
plate imp Flow due to the impulsive motion of a plate
plate osc Flow due to the oscillations of a plate
spf Similarity solutions for stagnation-point flow
strml Streamline patterns of a broad range
of flows offered in a menu
tube ann Steady annular flow
tube ann ml Steady multi-layer annular flow
tube ann sw Steady swirling annular flow
tube ann sw ml Steady multi-layer swirling annular flow
tube crc Steady flow through a circular tube
tube crc ml Steady multi-layer flow
through a circular tube
tube crc sec Steady flow through a circular tube
due to the translation of a sector
tube crc sw trans Transient swirling flow in a circular tube
tube crc trans Transient flow through a circular tube
tube crc wom Pulsating flow in a circular tube
tube ell Steady flow through a tube with
elliptical cross-section
tube rec Steady flow through a tube with
rectangular cross-section
tube trgl eql Steady flow through a tube with
triangular cross-section
858 Fluid Dynamics: Theory, Computation, and Numerical Simulation
05 lub
This directory contains codes that solve problems involving lubrication flow.
Subdirectory Topic
bear 2d Dynamic simulation of the motion of a
slider bearing pressing against a wall
chan 2l exp Dynamic simulation of the evolution
of two superposed viscous layers in a
horizontal or inclined channel computed
by an explicit finite-difference method
chan 2l imp Same as chan 2l exp, but with an
implicit finite-difference method
films Evolution of an arbitrary number of superposed
films on a horizontal or inclined wall
06 stokes
This directory contains codes that compute viscous flows at vanishing Reynolds numbers.
Subdirectory Topic
bump 3d Shear flow over a spherical bump on a plane wall
caps 2d Dynamic simulation of the motion of
a two-dimensional drop or elastic capsule
for a variety of flow configurations
caps 3d Dynamic simulation of the motion of a
three-dimensional elastic capsule
chan2l Dynamic simulation of two-layer flow in a channel
in the presence of an insoluble surfactant
drop 3d Dynamic simulation of the motion of a
three-dimensional drop with constant
or varying surface tension
drop 3dw Dynamic simulation of the deformation
of a three-dimensional drop adhering to
a plane wall
drop ax Dynamic simulation of the motion
of an axisymmetric liquid drop
em 2d Dynamic simulation of the motion of a
suspension of two-dimensional drops or
elastic capsules, for a variety of flow
configurations
flow 2d Two-dimensional flow in a domain with
arbitrary geometry
flow 3x Shear flow over an axisymmetric cavity,
orifice, or protrusion, computed by a
boundary-element method
Appendix A FDLIB software library 859
prtcl 2d Flow past a fixed bed of two-dimensional
particles with arbitrary shapes
for a variety of flow configurations
computed by a boundary-element method
prtcl 3d Flow past or due to the motion of
a three-dimensional particle
for a variety of configurations
computed by a boundary-element method
prtcl 3d mob Same as prtcl 3d but for the mobility problem
where the force and torque on the particle
are specified and the particle velocity
and angular velocity are computed in the solution
prtcl 3d mob dlr se Same as prtcl 3d mob using the double-layer
representation and a spectral-element method
prtcl ax Flow past or due to the motion of
a collection of axisymmetric particles
computed by a boundary-element method
prtcl sw Swirling flow produced by the rotation
of an axisymmetric particle computed
by a boundary-element method
rbc 2d Dynamic simulation of the deformation
of a two-dimensional red blood cell
sgf 2d Green’s functions of two-dimensional flow
sgf 3d Green’s functions of three-dimensional flow
sgf ax Green’s functions of axisymmetric flow
susp 3d Dynamic simulation of the motion
of a suspension of three-dimensional
rigid particles with arbitrary shapes,
for a variety of flow configurations,
computed by a boundary-element method
two spheres Motion of two intercepting spheres in
simple shear flow
07 ptf
This directory contains codes that solve problems involving potential flow.
Subdirectory Topic
airf 2d Airfoil shapes
airf 2d cdp Flow past an airfoil computed by the
constant-dipole-panel method
airf 2d csdp Flow past an airfoil computed by the
constant-source-dipole-panel method
airf 2d lvp Flow past an airfoil computed by the
linear-vortex-panel method
body 2d Flow past or due to the motion of
a two-dimensional body computed
860 Fluid Dynamics: Theory, Computation, and Numerical Simulation
by a boundary element method
body ax Flow past or due to the motion of
an axisymmetric body computed
by a boundary element method
cvt 2d Flow in a rectangular cavity computed
by a finite difference method
flow 2d Two-dimensional flow in an arbitrary domain
computed by a boundary element method
lgf 2d Green and Neumann functions of Laplace’s
equation in two dimensions
lgf 3d Green and Neumann functions of Laplace’s
equation in three dimensions
lgf ax Green and Neumann functions of Laplace’s
equation in axisymmetric domains
tank 2d Dynamic simulation of liquid sloshing
in a rectangular tank computed by a
boundary-element method
08 stab
This directory contains codes that perform stability analysis of miscellaneous flows.
Subdirectory Topic
ann2l Capillary instability of two annular layers
placed between two concentric cylinders
in the presence of an insoluble surfactant
ann2l0 Same as ann 2l for Stokes flow
ann2lel Same as ann 2l for an elastic interface
ann2lel0 Same as ann 2l0 for an elastic interface
ann2lvs0 Same as ann 2l0 for a viscous interface
chan2l0 Instability of two-layer flow in a channel
under conditions of Stokes flow
chan2l0 s Instability of two-layer flow in a channel
in the presence of an insoluble surfactant
under conditions of Stokes flow
coat0 s Instability of a liquid film resting on a plane
wall in the presence of an insoluble surfactant
under conditions of Stokes flow
film0 Instability of a liquid film down an inclined
plane for Stokes flow
film0 s Instability of a liquid film down an inclined
plane in the presence of an insoluble surfactant
for Stokes flow
if0 Instability of a horizontal interface between
two semi-infinite fluids for Stokes flow
ifsf0 s Instability of a horizontal interface between
two semi-infinite fluids for Stokes flow
Appendix A FDLIB software library 861
in simple shear flow in the presence
of surfactants
kirch stab Instability of Kirchhoff’s elliptical vortex
layer0 Instability of a horizontal liquid layer
resting on a horizontal wall under
a semi-infinite fluid for Stokes flow
layer0sf s Instability of a sheared liquid layer coated
on a horizontal plane in the presence of
an insoluble surfactant for Stokes flow
orr Instability of a viscous shear flow
with arbitrary velocity profile
prony Prony fitting of a times series
with a sum of complex exponentials
rayleigh Instability of an inviscid shear flow
with arbitrary velocity profile
thread0 Instability of an infinite viscous thread
suspended in an ambient viscous fluid
for Stokes flow
thread1 Instability of an inviscid thread
suspended in an inert ambient fluid
vl Instability of a vortex layer
vs Instability of a vortex sheet
09 vortex
This directory contains codes that compute vortex motion.
Subdirectory Topic
lv lia Dynamic simulation of the motion of a
three-dimensional line vortex computed
by the local-induction approximation (LIA)
lvr Velocity induced by line vortex rings
lvrm Dynamic simulation of the motion of a
collection of coaxial line vortex rings
pv Velocity induced by a point vortex
pvm Dynamic simulation of the motion
of a collection of point vortices
pvm pr Dynamic simulation of the motion of a
periodic collection of point vortices
pvpoly Polygonal arrangements of point vortices
ring Self-induced velocity of a vortex ring
with core of finite size
vl 2d Dynamic simulation of the evolution of
compound periodic vortex layers
vp 2d Dynamic simulation of the evolution of a
collection of two-dimensional vortex patches
vp ax Dynamic simulation of the evolution of a
862 Fluid Dynamics: Theory, Computation, and Numerical Simulation
collection of axisymmetric vortex rings and
vortex patches
10 bl
This directory contains codes that solve boundary-layer flow.
Subdirectory Topic
blasius Computation of the Blasius boundary layer
falskan Computation of the Falkner-Skan boundary layer
kp cc Boundary layer around a circular cylinder
computed by the Karman-Pohlhausen method
pohl pol Profiles of the Pohlhausen polynomials
11 fdm
This directory contains codes that solve problems using finite-difference methods.
Subdirectory Topic
channel Unidirectional flow in a channel
cvt pm Transient flow in a rectangular cavity
computed by a projection method
cvt stag Steady Stokes flow in a rectangular
cavity computed on a staggered grid
cvt sv Steady flow in a rectangular cavity computed
by the stream function/vorticity formulation
12 bem
This directory contains codes that produce solutions to Laplace’s equation by boundary-element methods.
Subdirectory Topic
ldr 3d Solution of Laplace’s equation with Dirichlet
boundary conditions in the interior or exterior
of a three-dimensional region computed using
the boundary-integral formulation
ldr 3d 2p Solution of Laplace’s equation with Dirichlet
boundary conditions in a semi-infinite
region bounded by a doubly-periodic surface
computed using the double-layer formulation
ldr 3d ext Solution of Laplace’s equation with Dirichlet
boundary conditions in the exterior of a
three-dimensional region computed using
the double-layer formulation
Appendix A FDLIB software library 863
ldr 3d ext se Same as ldr 3d ext but with a spectral-element method
ldr 3d int Solution of Laplace’s equation with Dirichlet
boundary conditions in the interior of a
three-dimensional region computed using
the double-layer formulation
ldr 3d int se Same as ldr 3d int but with a spectral-element method
lnm 3d Solution of Laplace’s equation with Neumann
boundary conditions in the interior or
exterior of a three-dimensional region
computed using the boundary-integral formulation
13 turbo
This directory contains data and codes pertinent to turbulent flow.
Subdirectory Topic
stats Statistical analysis of a turbulent flow time series
References BFurther discussion of fluid mechanics, applied mathematics, numerical methods, and scien-tific computing can be found in the highly recommended texts listed in this appendix.
Introductory classical mechanics
Marion, J. B.(1970) Classical Dynamics of Particles and Systems, Harcourt Brace.
Introductory fluid dynamics
Bird, R. B., Stewart, W. E. & Lightfoot, E. N. (2006) Transport Phenomena, Second Edition,Wiley.
Papanastasiou, T. C., Georgiou, G. & Alexandrou, A. N. (1999) Viscous Fluid Flow, CRCPress.
Morrison, F. A. (2001) Understanding Rheology, Oxford University Press.
Advanced fluid dynamics
Batchelor, G. K. (1967) An Introduction to Fluid Dynamics, Cambridge University Press.
Brodkey, R. S. (2004) The Phenomena of Fluid Motions, Dover.
Pozrikidis, C. (2011) Introduction to Theoretical and Computational Fluid Dynamics, Sec-ond Edition, Oxford University Press.
Warsi, Z. U. A. (2005) Fluid Dynamics; Theoretical and Computational Approaches, ThirdEdition, CRC Press.
White, F.M.(2005) Viscous Fluid Flow, Third Edition, McGraw-Hill.
Computational fluid dynamics
Ferziger, J. H. & Peric,M. (1996) Computational Methods for Fluid Dynamics, Springer-Verlag.
Hirsch, C. (2007) Numerical Computation of Internal and External Flows, Second Edition,Butterworth–Heinemann.
As a programming language, MATLAB is roughly equivalent, in some ways superiorand in some ways inferior to traditional upper-level languages, such as Fortran 77, C,or C++. As a computing environment, MATLAB is able to run indefinitely in its ownworkspace. Thus, a session defined by all initialized variables, graphics and other objects,such as figures, can be saved and reinstated at a later time. In this sense, MATLAB is anoperating system running inside the operating system that empowers the host computer.Symbolic algebraic manipulation is available through an add-on library (toolbox) that usesa kernel borrowed from the mathematical software engine Maple.
An attractive feature of MATLAB is the availability of a broad range of utility com-mands, intrinsic functions, and computational toolboxes, especially graphics functions. Asimplifying feature of MATLAB is that the type and size of vectors and matrices used inthe calculations are assigned automatically and can be changed in the course of a session,thereby circumventing the need for variable declaration and explicit memory allocation anddeallocation.
C.1 Launching MATLAB
To launch MATLAB in a Windows operating system, double-click on the MATLAB icon.This action runs a starter program, currently a disk operating system (DOS) batch script,that launches the main MATLAB executable. Alternatively, MATLAB can be started froma DOS command line by a procedure similar to that discussed next for Unix.
To launch MATLAB in a Unix operating system, run the Unix script matlab installedby MATLAB by issuing the command:
where >> represents the Unix shell prompt. Assuming that the script is in the path ofexecutables, the MATLAB executable will be launched in a graphical user interface (GUI)or command line mode. To suppress the memory demanding GUI, issue the command:
>> matlab -nodesktop
or the command:
>> matlab -nojvm
where nojvm negates the java virtual machine (jvm). Starting MATLAB by issuing thecommand:
>> matlab -nodesktop -nosplash
suppresses both the GUI and the splash screen at startup. In Unix, MATLAB can belaunched with a number of options. To obtain a list, request help by issuing the command:
>> matlab -help
in the MATLAB environment.
MATLAB employs a number of shared libraries, parameters, and environmental vari-ables. To obtain a complete list, issue the command:
>> matlab -n
A variety of MATLAB tutorials are available in the Internet.
C.2 MATLAB programming
Only elementary computer programming skills are needed to read and write MATLAB code.The code is written in one file or a collection of files, called the source or program files,using a standard file editor, such as the notepad or the vi editor.
The source code includes the main program, sometimes also called a script, and thenecessary user-defined functions. The names of these files must be suffixed by a dot followedby the m letter (.m). Code execution begins by typing the name of the file containing themain program in the MATLAB environment without the .m suffix. Alternatively, the codecan be typed in the MATLAB environment one line at a time, followed by the Return
keystroke.
MATLAB is an interpreted language, which means that the instructions are translatedinto machine language and executed in real time, one at a time. In contrast, a source codewritten in Fortran 77, C, C++, or any other comparable language must first be compiledto generate object files. The object files are then linked together with the necessary systemand user-defined libraries to produce an executable binary file.
Appendix C.2 MATLAB programming 867
Grammar and syntax
Following is a list of general rules regarding on MATLAB grammar and syntax. Whenconfronted with a warning or error after issuing a command or during execution, this listshould serve as a first check point:
• MATLAB variables are (lower and upper) case-sensitive:
The variable echidna is different from the variable echiDna. Similarly, the MAT-
LAB command return is not equivalent to the erroneous command Return. The latterwill not be recognized by the MATLAB interpreter.
• MATLAB variables must start with a letter:
A variable name is described by a string of up to thirty-one characters, includingletters, digits, and the underscore. Punctuation marks are not allowed.
• MATLAB string variables are enclosed by a single quote:
For example, we may define the string variable:
artist_001 = 'Celine_Dion'
• Beginning and end of a command line:
A MATLAB command may begin at any position in a line and may continue practicallyindefinitely in the same line.
• Line continuation:
To continue a command to the next line, put three consecutive dots at the end of theline. Text after three dots in the current line is ignored.
• Multiple commands in a line:
Two or more commands can be placed in the same line, provided they are separatedby a semicolon (;).
• Display:
When a command is executed directly or by running a MATLAB code, MATLAB dis-plays the numerical value assignment or the result of a calculation. To suppress theoutput, put a semicolon (;) at the end of the command.
• White space:
More than one empty spaces between words are ignored. However, numbers cannotbe broken up into sections separated by blank spaces.
• Range of indices:
The indices of vectors and arrays must be positive and nonzero. For example, thevector entry v(-3) is not acceptable. This annoying restriction can be circumvented inclever ways by redefining, reflecting, or shifting the indices.
868 Fluid Dynamics: Theory, Computation, and Numerical Simulation
• Comments:
A line beginning with the % character, or the tail-end of a line after the % character,is a comment to be ignored by the MATLAB interpreter.
• Mathematical symbols and special characters:
Mathematical symbols and special characters used in interactive MATLAB dialog andprogramming are listed in Table C.2.1.
• Logical control flow commands:
Basic logical control flow commands are listed in Table C.2.2.
• Input/output commands:
Basic input/output (I/O) commands, functions, and formatting statements are listedin Tables C.2.3–C.2.5. Once the output format is set, it remains in effect until changed.
Do not write MATLAB-specific code
It is a good practice to write MATLAB code in a form that can be translated readily toany other upper-level computer language, such as Fortran 77, C, or C++, by avoidingprocedures that are available only in MATLAB. Computational scientists often write codein one of the aforementioned languages and a companion code in MATLAB for the purposeof debugging and to ensure platform independence.
Precision
MATLAB stores all numbers in the long format of the floating point representation. Thismeans that real numbers have a finite precision of roughly sixteen significant digits anda range of definition varying in absolute value approximately between 10−308 and 10+308.Numbers that are smaller than 10−308 or higher than 10+308 in absolute value cannot beaccommodated. All computations are done in double precision. However, this should not beconfused with the ability to view and print numbers with a specified number of significantfigures.
C.3 MATLAB commands
Once invoked, MATLAB responds interactively to various commands, statements, and dec-larations issued by the user in the MATLAB environment. These directives are issued bytyping the corresponding name, single-line syntax, or multi-line construct, and then pressingthe Enter key.
General utility and interactive-input MATLAB commands are listed in Table C.3.1.Issuing the command demos initiates various demonstrations and illustrative examples. Asession can be saved using the save command and reinstated at a later time.
Appendix C.3 MATLAB commands 869
+ plus sign- minus sign* number or matrix multiplication sign.* array multiplication sign^ number or matrix power sign.^ array power signkron Kronecker tensor product\ backslash or left division sign/ slash or right division sign./ array division sign: colon() parentheses[] brackets. decimal point sign.. parent directory... line continuation, comma; semicolon, use to suppress the screen display% indicates that the rest of the line is a comment! exclamation point′ matrix transpose′′ quote.′ nonconjugated transpose= set equal to (replace left by right)== equal∼= not equal< less than<= less than or equal to> greater than>= greater than or equal to& logical and| logical or∼ Logical notxor Logical exclusive or
i, j imaginary unitpi number π = 3.14159265358 . . .
Table C.2.1 MATLAB operators, symbols, special characters, and constants.
870 Fluid Dynamics: Theory, Computation, and Numerical Simulation
break terminate the executionelse Use with the if statementelseif Use with the if statementend terminate a for loop, a while loop, or an if blockerror display a message and abortfor loop over commands a specific number of timesif conditionally execute commandspause wait for user’s responsereturn return to the MATLAB environment,
invoking program or functionwhile Repeat statements an indefinite number of times
until a specified condition is met
Table C.2.2 Logical control flow MATLAB commands and construct components.
disp display numerical values or textUse as: disp disp() disp(‘text’)
fclose close a filefopen open a filefread read binary data from a filefwrite write binary data to a filefgetl read a line from a file, discard the newline characterfgets read a line from a file, keep the newline characterfprintf write formatted data to a file using C language conventionsfscanf read formatted data from a filefeof test for end-of-file (EOF)ferror inquire the I/O error status of a filefrewind rewind a filefseek set file position indicatorftell get file position indicatorsprintf write formatted data to stringsscanf read formatted string from filecsvread read from a file values separated by commascsvwrite write into file values separated by commasuigetfile retrieve the name of a file to open through dialog boxuiputfile retrieve the name of a file to write through dialog box
Table C.2.3 Input/output (I/O) MATLAB commands using for opening, closing, and manipu-lating files.
input prompt for user inputkeyboard invoke keyboard as though it were a script filemenu generate menu of choices for user input
Table C.2.4 Interactive MATLAB input commands.
Appendix C.3 MATLAB commands 871
format short fixed point with 4 decimal places (default)format long fixed point with 14 decimal placesformat short e scientific notation with 4 decimal placesformat long e scientific notation with 15 decimal placesformat hex hexadecimal formatformat + +, -, and space are printed for positive,
negative, and zero elementsformat compact suppress extra line feedsformat loose reinstate extra line feeds
Table C.2.5 Matlab Formatting MATLAB commands.
clear Clear variables and functions from memorydemo Run demosexit Terminate a MATLAB sessionhelp Online documentationload Retrieve variables from a specified directorysave Save workspace variables to a specified directorysaveas Save figure or model using a specified formatsize Reveal the size of matrixwho List current variablesquit Terminate a MATLAB session
Table C.3.1 General utility MATLAB commands.
To obtain a full explanation of a MATLAB command, statement, or function, use theMATLAB help facility, which is the counterpart of the Unix manual man facility. For ex-ample, issuing the command help break in the MATLAB environment prompts the followingdescription:
BREAK Terminate execution of WHILE or FOR loop.
BREAK terminates the execution of FOR and WHILE loops.
In nested loops, BREAK exits from the innermost loop only.
BREAK is not defined outside of a FOR or WHILE loop.
Use RETURN in this context instead.
See also FOR, WHILE, RETURN, CONTINUE.
The command clear is especially important, as it resets all variables to the uninitializedstate, and thereby prevents the use of improper values defined or generated in a previoussession or calculation. A detailed explanation of this command can be obtained by typing:help clear.
872 Fluid Dynamics: Theory, Computation, and Numerical Simulation
C.4 MATLAB examples
In the following examples, the interactive usage of MATLAB is demonstrated in simple ses-sions. A line that begins with two “greater than” signs (>>) denotes the MATLAB commandline where we enter a definition or issue a statement. Unless stated otherwise, a line thatdoes not begin with >> is MATLAB output.
• Numerical value assignment and addition:
>> a=1
a =
1
>> b=2
b =
2
>> c=a+b
c =
3
• Numerical value assignment and subtraction:
>> clear
>> a=1; b=-3; c=a-b
c =
4
• Number multiplication:
>> clear
>> a=2.0; b=-3.5; c=a*b;
>> c
c =
-7
Typing the variable c displays its current value, in this case −7.
• Vector definition:
>> clear
>> v = [2 1]
v =
2 1
>> v(1)
ans =
2
>> v' % transpose
ans =
2
1
Appendix C.4 MATLAB examples 873
Typing v(1) displays the first component of the vector v as an answer. The comment“transpose” is ignored since it is preceded by the comment delimiter “%.” The answer ansis, in fact, a variable initialized and evaluated by MATLAB.
• Vector addition:
>> v = [1 2]; u = [-1, -2]; u+v
ans =
0 0
• Matrix definition, addition, and multiplication:
>> a = [1 2; 3 4]
a =
1 2
3 4
>> b = [ [1 2]' [2 4]' ]
b =
1 2
2 4
>> a+b
ans =
2 4
5 8
>> c=a*b
c =
5 10
11 22
• Multiply a complex matrix by a complex vector:
>> a = [1+2i 2+3i; -1-i 1+i]
a =
1.0000 + 2.0000i 2.0000 + 3.0000i
-1.0000 - 1.0000i 1.0000 + 1.0000i
>> v = [1+i 1-i]
v =
1.0000 + 1.0000i 1.0000 - 1.0000i
>> c=a*v'
c =
2.0000 + 6.0000i
-2.0000 + 2.0000i
By taking the transpose, indicated by a prime, the row vector, v, becomes a column vectorthat is conformable with the square matrix, a.
874 Fluid Dynamics: Theory, Computation, and Numerical Simulation
• For loop:
>> for j=-1:0
j
end
j =
-1
j =
0
In this example, the first three lines are entered by the user.
• If statement:
>> j=0;
>> i=1;
>> if i==j+1, disp 'case 1', end
case 1
• For loop:
>> n=3;
>> for i=n:-1:2
disp 'i='; disp(i), end
i=
3
i=
2
The loop is executed backward, starting at n, with step of −1.
• If loop:
>> i=1; j=2;
>> if i==j+1; disp 'case 1'
elseif i==j; disp ’case2'
else; disp 'case3'
end
case3
In this example, all lines, save the last line, are entered by the user.
Appendix C.4 MATLAB examples 875
• While loop:
>> i=0;
>> while i<2, i=i+1; disp(i), end
1
2
The four statements in the while loop could have been typed in separate lines; that is, thecommas could have been replaced by the Enter keystroke.
C.5 MATLAB functions
MATLAB encapsulates an extensive library of internal functions for numerical computationand data visualization. General and specialized mathematical functions are listed in TableC.5.1. The MATLAB help facility provides detailed information on the proper functionusage, arguments, and parameters.
If the proper syntax or applicability of a function is unclear, it is best to code the nu-merical method in a user-defined function working from first principles. It is both rewardingand instructive to create a personal library of user-defined functions based on control-flowcommands.
Numerical methods
MATLAB includes a comprehensive library of numerical methods whose functions performnumerical linear algebra, solve algebraic equations, perform minimization, carry out functionintegration, solve differential equations, and execute a variety of other tasks. Special-purposelibraries of interest to a particular discipline are accommodated in toolboxes. SelectedMATLAB numerical methods functions are listed in Table C.5.2.
The following MATLAB session illustrates the solution of a linear system, A · x = b,where A is a matrix and b is a conformable vector,
>> A=[1 1; 3 2];
>> b(1)=0; b(2)=1;
>> x=b/A'
x =
1.0000 -1.0000
Note that the transpose of the matrix A is used in the third line.
C.6 User-defined functions
In MATLAB, a user-defined function is written in a file whose name defines the callingname of the function. The file name must be suffixed with the MATLAB identifier (.m).Thus, a function named woodchuck must reside in a file named woodchuck.m, whose generalstructure is:
876 Fluid Dynamics: Theory, Computation, and Numerical Simulation
Table C.5.1 Common and specialized MATLAB mathematical functions (Continuing.)
Appendix C.6 User-defined functions 877
Function Purpose
sech hyperbolic secantsign signum functionsin sinesinh hyperbolic sinesqrt square roottan tangenttanh hyperbolic tangent
Specialized
bessel Bessel functionsbesseli modified Bessel functions of the first kindbesselj Bessel functions of the first kindbesselk modified Bessel functions of the second kindbessely Bessel functions of the second kindbeta Beta functionbetainc incomplete beta functionbetaln logarithm of the beta functionellipj Jacobi elliptic functionsellipke complete elliptic integralerf error functionerfc complementary error functionerfinv inverse error functionexpint exponential integralgamma Gamma functiongammainc incomplete gamma functiongammaln logarithm of gamma functionlegendre associated Legendre functionslog2 dissect floating point numberspow2 scale floating point numbers
Initialization
eye identity matrixones matrix of onesrand uniformly distributed random numbers and arraysrandn normally distributed random numbers and arrayszeros matrix of zeros
Table C.5.1 (Continued) Common and specialized MATLAB mathematical functions.
878 Fluid Dynamics: Theory, Computation, and Numerical Simulation
Function Purpose
cat concatenate arrayscond condition number of a matrixdet matrix determinanteig matrix eigenvalues and eigenvectorsinv matrix inverselu LU decomposition of a matrixode23 solution of ordinary differential equations
by the second/third-order Runge-Kutta methodode45 solution of ordinary differential equations
by the fourth/fifth-order Runge-Kutta-Fehlberg methodqr QR decomposition of a matrixpoly characteristic polynomial of a matrixquad function integration by Simpson’s ruleroot polynomial root findersvd singular-value decompositiontrapz function integration by the trapezoidal rule
x = A\b solves a linear system, A · x = b,where A is an N ×N matrix andb, x are N -dimensional column vectors;also solves an overdetermined system of equations
x = b/A solves a linear system, x ·A = b,where A is an N ×N matrix andb, x are N -dimensional row vectors;also solves an overdetermined system of equations
x = b/A' solves a linear system, A · x = b,where A is an N ×N matrix, andb, x are N -dimensional row vectors;also solves an overdetermined system of equations
fsolve solves a system of nonlinear equationsfminunc performs unconstrained minimizationfmincon performs constrained minimization
Table C.5.2 An partial list of numerical-methods functions encapsulated in MATLAB.
Appendix C.6 User-defined functions 879
function [output1, output2, ...] = groundhog(input1, input2,...)
......
return
The three dots indicate additional input and output variables separated by commas; the sixdots indicate additional lines of code. The output list,
output1, output2, ...
consists of numbers, vectors, matrices, and string variables evaluated by the function byperforming operations involving the input string
input, input2, ...
A variable may appear both in the input and output list.
To execute this function in the MATLAB environment or invoke the function from aprogram file, we issue the command:
After the function has been successfully executed, evaluate1 takes the value of output1,evaluate2 takes the value of output2, and the rest of the output variables take corre-sponding values. If an output field is not evaluated in the function, MATLAB will issue awarning.
If a function evaluates only one number, vector, matrix, character string, entity, orobject, the function statement and corresponding function declaration can be simplified to:
function evaluate = souvlaki(input1, input2, ...)
.....
return
An example of a simple function residing in a file named bajanakis.m is:
function bname = bajanakis(iselect)
if(iselect==1)
bname = 'sehoon';
elseif(iselect==2)
bname = 'phaethon';
else
bname = 'hercules';
end
return
The default name returned by bajanakis is hercules.
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C.7 MATLAB graphics
A powerful feature of MATLAB is the ability to generate professional quality graphics,including animation. Graphics are displayed in dedicated windows that appear in responseto graphics commands launching internal programs. Graphics functions are listed in TableC.7.1 under several categories. The MATLAB help facility provides a detailed description ofthe various graphics function and their arguments and parameters.
Some helpful tips are listed below:
• To generate a new graphics window, use the command: figure
• To generate a graphics file, use the export or save option under the file pull-downmenu.
• To manipulate axis properties, use the function axis with appropriate arguments.
• To superimpose graphs, use the command: hold.
• To close a graphics window, use the command: close.
• Newer versions of MATLAB offer an increasing number of options.
In the remainder of this section, we present several graphics sessions followed by thegraphics output.
• Graph of the function: f(x) = sin3(πx)
>> x=-1.0:0.01:1.0; % define an array of abscissae
>> y = sin(pi*x).^3; % note the array power operator .^ (table C.3.1)
>> plot(x,y,'k')
>> set(gca,'fontsize',15)
>> xlabel('x','fontsize',15)
>> ylabel('y','fontsize',15)
−1 −0.5 0 0.5 1−1
−0.8
−0.6
−0.4
−0.2
0
0.2
0.4
0.6
0.8
1
x
y
Appendix C.7 MATLAB graphics 881
Two-dimensional graphs
bar bar graphcomet animated comet plotcompass compass ploterrorbar error bar plotfplot plot a functionfill draw filled two-dimensional polygonshist histogram plotloglog log-log scale plotplot linear plotpolar polar coordinate plotsemilogx semi-log scale plot, x-axis logarithmicsemilogy semi-log scale plot, y-axis logarithmicstairs stair-step plotstem stem plot for discrete sequence data
Graph annotation and operations
grid grid linesgtext mouse placement of textlegend add legend to plottext text annotationtitle graph titlexlabel x-axis labelylabel y-axis labelzoom zoom in and out of a two-dimensional plot
Line and fill commands
fill3 draw filled three-dimensional polygonsplot3 plot lines and points
Table C.7.1 Elementary and specialized MATLAB graphics functions and procedures (Continu-ing.)
882 Fluid Dynamics: Theory, Computation, and Numerical Simulation
contourc contour plot computation (used by contour)image display imageimagesc scale data and display as imagepcolor pseudocolor (checkerboard) plotquiver quiver plotslice volumetric slice plot
Surface and mesh plots
mesh three-dimensional mesh surfacemeshc combination mesh/contour plotmeshgrid generate x and y arraysmeshz three-dimensional mesh with zero planeslice volumetric visualization plotsurf three-dimensional shaded surfacesurfc combined surf/contour plotsurfl shaded surface with lightingtrimesh triangular mess plottrisurf triangular surface plotwaterfall waterfall plot
Three-dimensional objects
cylinder generate a cylindersphere generate a sphere
Graph appearance
axis axis scaling and appearancecaxis pseudocolor axis scalingcolormap color lookup tablehidden mesh hidden line removalshading color shadingview graph viewpoint specificationviewmtx view transformation matrices
Graph annotation
grid grid lineslegend add legend to plot
Table C.7.1 Elementary and specialized MATLAB graphics functions and procedures (Continu-ing.)
Appendix C.7 MATLAB graphics 883
text text annotationtitle graph titlexlabel x-axis labelylabel y-axis labelzlabel z-axis label for three-dimensional plots
Graphics control
capture screen capture of current figure in Unixclf clear current figureclose abandon figurefigure create a figure in a new graphics windowgcf get handle to current figuregraymon set default figure properties for grayscale monitorsnewplot determine correct axes and figure for new graphrefresh redraw current figure windowwhitebg toggle figure background color
Axis control
axes create axes at arbitrary positionaxis control axis scaling and appearancecaxis control pseudo-color axis scalingcla clear current axesgca get handle to current axeshold hold current graphishold true if hold is onsubplot Create axes in tiled positions
Graphics objects
figure create a figure windowimage create an imageline generate a linepatch generate a surface patchsurface generate a surfacetext create textuicontrol create user interface controluimenu create user interface menu
Table C.7.1 Elementary and specialized MATLAB graphics functions and procedures (Continu-ing.)
884 Fluid Dynamics: Theory, Computation, and Numerical Simulation
Graphics operations
delete delete objectdrawnow flush pending graphics eventsfindobj find object with specified propertiesgco get handle of current objectget get object propertiesreset reset object propertiesrotate rotate an objectset set object properties
Hard copy and storage
orient set paper orientationprint print graph or save graph to fileprintopt configure local printer defaults
Movies and animation
getframe get movie framemovie play recorded movie framesmoviein initialize movie frame memory
Miscellaneous
ginput graphical input from mouseishold return hold staterbbox rubber-band box for region selectionwaitforbuttonpress wait for key/button press over figure
Color controls
caxis pseudocolor axis scalingcolormap color lookup tableshading color shading mode
Table C.7.1 Elementary and specialized MATLAB graphics functions and procedures (Continu-ing.)
Appendix C.7 MATLAB graphics 885
Color maps
bone grayscale with a tinge of blue color mapcontrast contrast enhancing grayscale color mapcool shades of cyan and magenta color mapcopper linear copper-tone color mapflag alternating RGB and black color mapgray linear grayscale color maphsv hue-saturation-value color maphot black-red-yellow-white color mapjet variation of HSV color map (no wrap)pink pastel shades of pink color mapprism prism-color color mapwhite all white monochrome color map
Color map functions
brighten brighten or darken color mapcolorbar display color map as color scalehsv2rgb hue-saturation-value to RGB equivalentrgb2hsv RGB to hue-saturation-value conversionrgbplot plot color mapspinmap spin color map
Script tetrakai (not listed in the text) generates a periodic, space-filling lattice of Kelvin’stetrakaidecahedron (14-faced polyhedron) encountered in liquid and metallic foam.
−2−1
01
2−1
0
1−1.5
−1
−0.5
0
0.5
1
1.5
y
x
z
888 Fluid Dynamics: Theory, Computation, and Numerical Simulation
annular, 461axisymmetric, 18, 103circular Couette, 517extensional, 215fully developed, 420gravity-driven, 366in a cavity, 547in a corner, 663in a narrow channel, 591in a wavy channel, 597in channels and tubes, 469induced by vorticity, 783axisymmetric, 784
irrotational, 132isentropic, 372laminar, 415linear, 38lubrication, 592multi-layer, 428oscillatoryin a channel, 501in a tube, 514
over a hump, 390
potential, 134pressure-driven, 366pulsatingin a channel, 506in a tube, 514
rate, 96mass, 105
separation, 672, 677shear-driven, 366steady, 17swirling, 18through an enlargement, 371transient Couette in a channel, 491transient in a channel, 491transient in a tube, 509transient pressure-driven in a channel,
sourceabove a wall, 166, 171dipole, 160, 161, 169outside a cylinder, 167outside a sphere, 171three-dimensional, 168two-dimensional, 158
vortex, 172, 755array, 761between two walls, 765dipole, 178in a rectangular box, 767in a semi-infinite strip, 766inside or outside a circular cylinder,761
near a boundary, 759near a corner, 767near a plane wall, 759self-induced velocity, 758
Poiseuilleflow, 449plane, 422
law, 450Poisson
equation, 470, 769for the pressure, 560nonlinear, 352
integral formula, 459polar angle, 13polar coordinates, 72, 222, 382
