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AN INTERACTIVE MATRIX INTERPRETIVE SYSTEMFOR THE IBM 360/67
Robert Douglas Little
United StatesNaval Postgraduate School
THESISAN INTERACTIVE MATRIX INTERPRETIVE SYSTEM
FOR THE IBM 360/67
by
Robert Douglas Little
June 1970
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An Interactive Matrix Interpretive SystemFor the IBM 360/67
by
Robert Douglas ^LittleLieutenant, United States Navy
B.S., United States Naval Academy, 19 63
Submitted in partial fulfillment of therequirements for the degree of
MASTER OF SCIENCE IN MECHANICAL ENGINEERING
from the
NAVAL POSTGRADUATE SCHOOLJune 1970
L7/2-
LIBRARYNAVAL POSTGRADUATE SCHOOL
MONTEREY, CALIF. 93940ABSTRACT
The Matrix Interpretive System devised by Wilson and
modified by Cantin has been transformed into an interactive
program operable under a time sharing system. Several new
commands have been added to extend the usefulness of the code
and give it the capability to offline read, write and punch
data, to plot graphs and contour maps and to integrate simple
polynomial expressions.
TABLE OF CONTENTS
I. INTRODUCTION 7
A. GENERAL DESCRIPTION 7
B. HISTORICAL BACKGROUND 8
C. OBJECTIVES 8
II. GENERAL PROGRAM FEATURES 9
A. MAIN PROGRAM AND SERVICE SUBROUTINES 9
1. Main Program 9
2. Main Working Subroutine 9
3. Listing of a Matrix 11
4. Printing of Error Messages 11
5. Locating a Matrix 11
6. Calculating Eigenvalues and Eigenvectors - 11
7. Formation of Matrix N 11
B. OPERATION SUBROUTINES 14
1. Inverting a Symmetric Matrix 14
2. Adding, Removing and Storing a Submatrix — 14
3. Formation of an N by 2 Matrix 14
4. Printing of Graphs 14
5. Determining the Coefficients of a BicubicPolynomial 15
6. Printing Contour Maps 15
7. Formation of a 2 by 2 Stiffness Matrix 16
8. Numerical Integration 17
9. Numerical Integration of a Set ofDifferential Equations 18
III. OPERATIONS 20
IV. LIMITATIONS 38
A. SIZE AND NUMBER OF MATRICES 38
3
B. MATRIX NAMES 38
C. PLOT . 38
D. INTEGRATION 39
E. POLYNOMIAL FIT AND CONTOUR MAP 39
V. HOW TO CALL THE MATRIX INTERPRETJVE SYSTEM 40
A. TIME SHARING 40
B. BATCH PROCESSING 40
VI. SAMPLE PROBLEMS 42
A. EIGEN VALUE — ' 42
B. CONTOUR MAP — 45
C. GRAPH 51
VII. IMPROVEMENTS - ' 57
APPENDIX A COMPUTER PROGRAM 58
LIST OF REFERENCES 95
INITIAL DISTRIBUTION LIST 96
ACKNOWLEDGEMENTS
The author wishes to express his gratitude to Professor
E. L. Wilson of the University of California, the originator
of the program. He is also grateful to Professor Gilles
Cantin of the Naval Postgraduate School, his advisor, for
his constructive supervision and encouragement throughout
this work.
The Naval Postgraduate School Computer Center provided
facilities and technical advice for this work.
I. INTRODUCTION
A. GENERAL DESCRIPTION
Many engineering problems in such fields as steady-state
temperature distribution [Ref. 1] , stress in elastic structures
[Ref. 2], and fluid flows [Ref. 3] can be formulated as problems
of numerical linear algebra. Until the advent of modern
digital computers, all but the simplest of these problems had
to be reserved to specialists for solutions. Even problems of
moderate size required a considerable computational effort.
The computer changed all of this. All of the simple matrix
operations like multiplication, transposition, solution of eigen
systems can be coded to solve individual problems. The computer
program described in this report integrates a number of stand-
ard subprograms of linear algebra [Refs. 4,5,6,7] into a
problem oriented computer language. This program, heretofore
called: Matrix Interpretive System was coded in FORTRAN IV.
The resulting matrix operations sub-language has a syntax and
rules of its own as well as a certain number of diagnostic
messages that can be automatically returned to the user of the
language. The basic specification for the design of the
language structure was that it had to be simple enough to be
used by persons unfamiliar with computer programming. As
written, the language could be used to solve stacks of problems
sequentially; if an error is found in one of the problems a
message is printed and a solution for the next problem is
attempted. To be effective in a conversational mode at a
remote station, the program had to be heavily modified so as
to leave effective control of the flow of operations to the
user. This version of the code is called: Interactive Matrix
Interpretive System.
The Interactive Matrix Interpetive System is a general
program written in FORTRAN IV [Ref . 8] , it is a problem oriented
sub-language. The entire program is coded in double precision
arithmetic. The only subroutines which are used but are not
contained in the program are a square root and a natural log
subroutine. The program uses 160,000 bytes of core storage.
B. HISTORICAL BACKGROUND
The original program was developed by Professor E. L. Wilson
of the University of California in April 1963 for an IBM 7094.
It was later adapted by Professor G. Cantin of the Naval
Postgraduate School for a CDC 1604 in February 1966 and for
the IBM 360/67 in August 1968.
C. OBJECTIVES
The objectives of the author's work have been to:
1. transform the program into an interactive system
operable under time sharing from a remote typewriter station;
2. add operations to extend the capabilities of the
program;
3. create a "USER'S MANUAL" to facilitate the use of
the program.
II. GENERAL PROGRAM OPERATION
The Interactive Matrix Interpretive System will be referred
to as IMIS in this and following sections of this report. IMIS
is written in FORTRAN IV language for the IBM 360/67 time
sharing system available at the Naval Postgraduate School
(CP/CMS) . A different version called DSMIS is used for batch
processing. All operations are performed in double precision
arithmetic. Matrices are stored internally in a single
dimensional array, A, that is 10,000 double words in size.
Matrix names are stored in an array called NAME. Arrays, NROW
and NCOL, are used to store the number of rows and columns of
each matrix.
The following is a brief description of the function and
operation of most of the subroutines of IMIS. Some of the
subroutines are straightforward and will not be discussed. A
flow diagram of the program is presented in Figure 1.
A. MAIN PROGRAM AND SERVICE SUBROUTINES
1. Main Program
The Main program is used only to initialize internal
variables and to call the main service subroutine, SMIS1.
2. Main Working Subroutine (SMIS1)
SMIS1 is the general working subroutine* Some of the
operations such as duplication of a matrix and envelope of
a matrix are carried out in SMIS1. The other operations are
carried out in subroutines which are called from SMIS1. Most
of the error messages are called from SMIS1.
MAIN PROGRAM
ITGRAL
APRINT
FORMK *
PLOT *
SYMINV
MULT *
TRANS
INVERT
RESPON *
DELETE <-
SMIS 1
CONTUR
*| POLFIT
0©
* EIG
JACVAT
ILOAD
STOSM
ERRER H
B ) (C STJ
MFIND
IFigure 1. Functional Flow Diagram
10
3. Listing of a Matrix (MLIST)
MLIST stores each matrix by name, number of rows and
columns and starting position in the array, A. It checks the
name of a new matrix to be stored against the names of pre-
viously stored matrices to see if the name has been used before.
If there is another matrix with the same name, the previously
stored matrix will be deleted before the new matrix is stored.
4
.
Printing of Error Messages (ERRER)
When an error is made in an operational command, ERRER
is called. It prints out an error message, deletes the current
operational command and returns control to the typewriter.
5. Locating a Matrix (MFIND)
Locates the matrix or matrices to be used in an
operation. It finds the number of rows and columns of a matrix
and the starting position in the array A.
6 » Calculating Eigenvalues and Eigenvectors (JACVAT)
Determines all of the eigenvalues and eigenvectors of
a matrix. It uses the threshold cyclic Jacobi rotation method
[Ref. 4].
7. Formation of Matrix N (P)
The bicubic polynomial,
r3+C X 3Y 2+C X 3Y +C X 3+C
2 3 4 5P=C X 3Y 3+C X 3Y 2+C X 3Y +C X 3+C X 2Y 3+C X 2Y 2+C X 2Y +C X 2+
C XY 3+C XY 2+C XY+C X+C Y 3+C Y 2+C Y+C9 10 11 12 13 14 15 16
is used in the polynomial fit operation. This polynomial
can be written as
11
p = < F± > { C }
i=l ,2,. ..,16
where <F.> = <
X
3Y3
# X3Y2
/ X3Y / X
3/ X
2Y 3
,X2Y2,X
2Y ,X
2,
XY 3 ,XY 2 ,XY,X,Y 3 ,Y 2 ,Y,1 >
and {Ci > = <
C
l7 C 2 / . . . /C16>T
. In the POLFIT operation, values
of P at all of the sixteen nodal points of the grid shown in
Figure 2 must be used to solve for all of the unknown co-
efficients of the polynomial using the following matrix
equation:
{P± } = [N] {C
i >
i—
1
r 2 ,
,
. . , 16
where
[N]
<F<D>i
<F< 2)>
1
< F (16)>1
Subroutine P forms matrix N for use in the POLFIT operation.
The bicubic polynomial, P, will be referred to as CUPOL in the
following sections.
12
0.3 1,3 2,3 3,3
©•a 1,3 2,2 2,3
0,1 1,1 2,1 3,1
0,0 1,0 2,0 .
y x
Figure 2. Grid For Subroutine P
13
B. OPERATION SUBROUTINES
1
.
Inverting a Symmetric Matrix (SYMINV)
SYMINV inverts a symmetric matrix, A, by Gauss
elimination [Ref . 4] . If the matrix is not symmetric, it takes
the average of the two numbers, A (i , j ) , A( j , i) , and replaces
both by the average value and prints a warning that the matrix
was not symmetric.
2
.
Adding, Removing and Storing a Submatrix (STOSM)
STOSM is called to do three operations.
a) Store a submatrix at an indicated position in a
matrix when called by the command, STOSM.
b) The command, RMVSM, calls STOSM to remove a sub-
matrix from the original matrix.
c) ADDSM calls STOSM to add a submatrix to a matrix
at an indicated position.
3. Function Generation (FUNGN)
This subroutine takes a function described by a set
of points (X^,Y.) , not necessarily equally spaced, andi=l , 2 , . . . ,n
calculates, by straight line interpolation, ordinates at equally
spaced values of X.
4. Printing of Graphs (PLOT)
PLOT prints a 10 inch by 10 inch graph of 1 to 4
curves. It automatically scales the graph to the maximum and
minimum values of X and Y. The axes are plotted as
a) X X
b) Y Y
14
with the characters, X and Y, appearing at every inch on their
respective axes. When all of the points are plotted on one side
of either axis, an offset axis replaces the real axis and is
indicated by
a) A A offset X axis
b) B B offset Y axis
The origin of the axes and the X and Y scale factors are cal-
culated and printed below the graph.
5
.
Determining the Coefficients of a Bicubic Polynomial(POLFIT)'
The 16 unknown coefficients of a bicubic polynomial
surface can be determined in terms of 16 known values of the
polynomial at 16 known values of the independent variables.
POLFIT solves the matrix equation,
[N] {C} = [P]
for the matrix of unknown coefficients, C, where matrix N is
formed by the subroutine P. Matrix P is a matrix of the values
of CUPOL at each nodal point and is the input to POLFIT.
6. Printing Contour Maps (CONTUR)
CONTUR prints a contour map of CUPOL. There are 21
possible contour lines which are represented by the alphabetic
letters, A through J, 0, Q through Z. The input is either the
coefficients of CUPOL with the upper and lower limits of X and
Y or the values of the function at the grid points used for
POLFIT. In the latter case, POLFIT is called and the coeffi-
cients of CUPOL are calculated.
15
CUPOL is then scanned over the ranges of X and Y to
determine the maximum and minimum Z ordinate. The range of Z
is divided into 42 equal parts represented by alphabetic
characters and blanks assigned to alternating contour values.
CUPOL is then evaluated at each point on a line, the correct
character inserted and the line printed.
7. Formation of a 2 by 2 Stiffness Matrix (FORMK)
FORMK forms the stiffness matrix [Ref. 9],
[K] =
kll
k 12
k21
k22
for a simply supported beam having length, L, Young's Modulus,
E, moment of inertia, I, shear modulus, G, and effective shear
area, A.
The stiffness coefficients are:
11
12
2EI
[ 1+2$J
K
2EI / 1^3L 1 1+3
= k
22
21
where
$ =6EI
L2AG
16
The matrix equation,
M-
M<
= [K]
relates end moments, M, , M~ # to their corresponding rotations,
V as shown in Figure 3
.
Figure 3. Simple Beam
8 . Numerical Integration (ITGRAL)
The subroutine, ITGRAL, is capable of performing
numerical integration of one and two dimensional functions
described by discrete sets of points, either by Simpson's rule,
or, if the function to be integrated is known, by Gaussian quad-
rature .
17
9 . Numerical Integration of a Set of DifferentialEquations (RESPON )
In the study of vibrations of systems with many
degrees of freedom, the following system of ordinary differential
equations governs the problem:
[M] {X} + [C] (X) + [K] (X> = {p} (1)
where
[M] is the mass matrix,
[C] is the damping matrix
and
[K] is the stiffness matrix.
In general, if
{X} = [V] {x}(2)
where matrix [V] is the matrix of undamped mode shapes and {x}
is the vector of the time dependent amplitude function for each
mode, we get after substitution of (2) into (1)
:
[M] [V] {x} + [C] [V] {x} + [K] [V] {x} = {P} (3)
After premultiplication by [V] T and the use of the orthogonality
properties of normal modes:
[V] T [M] [V] = [-m^]
[V]T [K] [V] = [-W| = [-a,2m<J
[V] T [C] [V] = [-c^] = [-2Aa)m>J < a >
(a)'Such an orthogonality condition imposes somerestrictions on the form of the damping matrix [C]
.
18
where
x.Ci
21X1-^ o)j_
and using the notation
[V]T {P} = {p}
we get
[^m^] {x} + [--2Au)nwJ {x} + [^w 2nuj {x} = {p} (4)
or
{x} + [-2X0)^] (x) + [~-w 2^] {x} = {p*} (5)
where p* = p./m.
.
l i i
This last set of equations is completely decoupled
and can easily be numerically integrated. The subroutine
RESPON performs this task.
19
III. OPERATIONAL COMMANDS
The following is a list of the operations that IMIS con-
tains. The operations must conform to the standard format
shown in Figure 4. OPERATION stands for any of the symbolic
command names mentioned below. A, B, C and D are matrices used
as arguments of the operation. Nl, N2 , N3 and N4 are four
integer arguments that must always be right justified. SI and
S2 are two floating point arguments . The arguments can be
input or output values and are not all necessary for each
command
.
There are two versions of the matrix interpretive system
in use at the Naval Postgraduate School. One is for time
sharing and one for batch processing. The commands denoted by
a "*" can only be used in conjunction with the time sharing
option. The READ, WRITE and PUNCH commands make use of
sequential input/output files which are available with the
FORTRAN IV language [Ref . 8] .
^
b)
The READ command uses the file FT04F001. This file is
used to load matrices into IMIS from punched cards and is read
into the computer prior to executing IMIS. Any data stored in
the file is automatically erased when new data is read into the
file.
File FT0 8F001 is used to store any output which the user
wants to print offline. This file is not automatically erased
(k)A certain knowledge of the CP/CMS time sharing systemis needed when using a remote terminal of the computer. It ispresumed that the reader is already familiar with this system[Refo 10].
20
•p
6uo
H
Cfd
P
•Hp4
21
when new data is read into the file. New data is appended to
the data that is already stored in the file. Therefore, the
file must be erased before executing IMIS. To erase the file,
the command,
ERASEbFILEbFT0 8F001
is used. After exiting from IMIS, the command,
OFFLINEbPRINTCCbFILEbFT08F001
will cause the file to be printed on the offline printer.
The command, PUNCH, uses file FT07F001 to store data to
be punched onto cards. This file appends new data at the end
of old data so the file must be erased before using IMIS. The
command,
ERASEbFILEbFT07F001
erases the file. To offline punch the data stored in the file,
the command
,
OFFLINEbPUNCHbFILEbFT07F001
is issued after exiting from IMIS. Examples of the use of
these files are given in the sample problems. The operational
commands are
:
START This command causes the elimination of
all matrices which are in core storage
and must be the first command used in
the solution of a problem. If an error
is found during execution of a command,
an error message is printed on the
22
typewriter, the current command
eliminated and control returned to the
typewriter. If an error is found
during the execution of a problem with
DSMIS, the current problem is auto-
matically deleted and the remaining
cards scanned until a new START or
STOP command is found.
LOAD Matrix Load:
A = Name of matrix to be loaded.
Nl = Number of rows of matrix A.
N2 = Number of columns of matrix A.
N3 = Format control indicator for the
data.
The elements of the matrix are
typed or punched on cards row-wise
after the LOAD command according
to one of the options determined
by the value of N3:
a. if N3= 1 or blank, the format is
(12F6.0). A maximum of twelve
numbers per line, using as many
lines as required to write the
entire matrix must be used. If
the decimal point is omitted, it is
assumed to be at the extreme right
of the field.
23
REMARK
STOP
ZERO
b. if N3= 2, (6F12.0), 6 numbers per
line in fields of 12 columns.
c. if N3= 3, (4F18.0), 4 numbers per
line in fields of 24 columns.
d. if N3= 4, (3F24.0), 3 numbers per
line in fields of 24 columns.
Matrix Print:
A = Name of matrix to be printed.
Nl= Number of lines, which follow the
PRINT command, to be printed as a
label for the matrix. Column 13
of the command card is used for
carriage control in DSMIS only.
A one in column 13 will cause the
matrix to be printed on a separate
output page.
This operation causes the number of
lines designated by Nl, which follow
the operation, to be printed as
remarks
.
This operation ends a run of problems
and is the last command to be issued
in a stack of problems. It can be
used only once per run.
Formation of a Null Matrix:
A = Name of null matrix.
24
ADD
SUB
MULT
TRANS
INVERT
SYMINV
STOSM
Nl= Number of rows of matrix A.
N2= Number of columns of matrix A.
Matrix Addition - [A] + [B] = [A]
Matrix A is replaced by the sum of
matrices A and B.
Matrix Subtraction - [A] - [B] = [A]
Matrix A is replaced matrix A minus
matrix B.
Matrix Multiplication - [A] • [B] = [C]
The product of matrix A times matrix
B is generated and defined by matrix C.
rn
Matrix Transpose - [B] = [A]
The transpose of matrix A is generated
and defined by matrix B.
Matrix Inversion - [A] = [A]
Matrix A is replaced by the inverse
of itself.
Symmetric Matrix Inversion - [A] = [A]
Symmetric matrix A is replaced by the
inverse of itself.
Store Submatrix in a Matrix:
A = Name of large matrix.
B = Name of submatrix to be stored.
Nl= Row number in large matrix of
first element of submatrix.
N2= Column number in large matrix of
first element of submatrix.
-1
25
STODG
SCALE
ADDSM
RMVSM
Elements of A are replaced by
elements of B in designated area.
Store Row Matrix on Diagonal of Matrix:
A = Name of square matrix.
B = Name of row matrix to be stored on
diagonal of matrix A.
Diagonal elements of A are replaced by
elements of B.
Scalar Multiplication - [A] = SI* [A]
Add Submatrix to a Large Matrix:
A = Name of large matrix.
B = Name of submatrix to be added
into large matrix.
Nl= Row number in large matrix of
first element of submatrix.
N2= Column number in large matrix of
first element of submatrix.
Extracts Submatrix [B] from [A]
:
A = Name of large matrix.
B = Name of submatrix defined as matrix.
Nl= Row number in large matrix of
first element of submatrix.
N2= Column number in large matrix of
first element of submatrix.
N3= Number of rows in submatrix.
N4= Number of columns in submatrix.
Matrix A is not modified.
26
LOG
MSCALE
RMVDG
EIGEN
The Log of each Element
Each element in the matrix A is
replaced by the natural log of the
element.
Scalar Multiplication
Each element in the matrix A is
replaced by B times the element where
B has previously been defined as a
1 by 1 matrix.
Extracts Row Matrix B from Diagonal
of Square matrix A.
A = Name of square matrix.
B = Name of row matrix composed of the
diaconal elements of matrix A.
Matrix A is not modified.
Eigenvalues and Eigenvectors:
The eigenvalues and eigenvectors of
the system, [A] [X]=X [B] [X] , are
determined where [A] is a symmetrical
matrix and [B] is a diagonal matrix
of positive elements stored as a row
matrix.
A = Name of matrix A.
B = Name of matrix B.
C = Name of matrix of eigenvectors
stored row-wise.
27
SQREL
INVEL
DELETE
D = Name of row matrix of eigenvalues,
X.
Nl= The number of eigenvectors to be
calculated. The ordering of
eigenvectors and eigenvalues is
determined by the sign of Nl as
follows
:
a. If Nl is positive, eigenvalues are
arranged in descending order.
b. If Nl is negative, eigenvalues are
arranged in ascending order.
N2= Eigenvector normalizing.
a. If N2 is blank:
Eigenvectors are normalized so
that [C] [B] [C]T
= [I]
b. If N2 is 1:
Eigenvalues are normalized so
that [A] = [C]T MU.] [C]
Square Root of Each Element
Each element in the matrix A is
replaced by the square root of itself.
Inversion of Each Element
Each element in the matrix A is
replaced by the reciprocal of itself.
Matrix Deletion
The matrix A is eliminated from core
storage
.
28
DUPL
ENVEL
RESPON
Matrix Duplication:
A = Name of matrix to be duplicated.
B = Name of matrix defined to be
identical with matrix A.
Envelope Value of Matrix
The maximum absolute value in each
row of matrix A is printed along with
its column number times an interval.
A = Name of matrix A.
Sl= Interval between columns.
Numerical Integration of a Set of
Differential Equations:
{x}+2X t-aj^] {x} + [-u>2^] {x}={S}P (t)
with initial conditions, x(0)=x(0)=0.
A = Name of a row matrix containing
the diagonal elements of matrix
h-o)^] . The dimension of A must
be (lxn) where n is the number of
equations in the set.
B = Name of a column matrix containing
the elements of {S}. The dimension
of B must be (nxl)
.
C = Name of a row matrix containing
the values of the function P(t)
evaluated at equal intervals, At:
P (0) ,P (At), P (2At) , . . . ,P (mAt)
29
The dimension of C depends on the
choice of At which must be small
for accurate results. The size of
At should be determined by actual
numerical experimentation with
the command.
D = Name of the output matrix contain-
ing the calculated values of the
variables as shown in Figure 5.
Nl= Output interval i. The values of
the n unknowns, {x} , are printed
at iAt,2iAt, 3iAt, . . . ; if i=l,
all of the values are printed.
Sl= Value of the damping ratio, A.
S2= Time increment, At, used in the
numerical integration.
x^(iAt) ,x1(2iAt) ,x
1(3iAt) ,
x2(iAt) ,x
2(2iAt) ,x
2(3iAt) ,
xn (iAt) ,xn
(2iAt) ,xn(3iAt) , . . .
Fig. 5. OUTPUT MATRIX, D, FOR RESPON
30
FUNGN
FORMK
Function Generation:
A = Name of matrix which defines a
function in terms of line segments
X1/Y1 ;X2 ,Y2; •**;Xn ,Yn . (Nx2)
B = Name of matrix to be formed which
is composed of the y ordinates at
equal x ordinate intervals of the
function defined by matrix A.
Nl= Number of y ordinates to be
generated. The first ordinate
will be equal to Y .
Sl= X ordinate interval.
Forms a 2x2 Element Stiffness Matrix:
A = Name of matrix to be formed.
The line following the command is as
follows
:
a. Columns 1-12 Moment of inertia of
member, I.
b. Columns 13-24 Effective shear
area of member, A.
c. Columns 25-36 Length of member, L.
d. Columns 37-4 8 Modulus of
elasticity of member, E.
The shear modulus, G, is assumed to be
equal to E/2.4.
31
PUNCH
* READ
* CONT
* WRITE
Punches Matrix onto Cards:
A = Name of matrix to be punched.
Nl= Number of comment cards to be
punched as a heading for matrix A.
After the PUNCH command is issued, the
next line contains the format elected
by the user as follows:
(NNTRR.SS)
where
NN= Number of elements per card.
RR= Field width per element.
SS= Number of significant digits.
T = Type of data field. T must be a
standard F or D Fortran format.
Loads Matrices from file FT04F001
The load operation card must have a
1. in SI. The last card must be a
Continue Operation card.
Continue Operation
Sl= 1.
Indicates that all matrices in file
FT04F001 have been loaded into IMIS.
Writes Matrix into File FT08F001:
A = Name of matrix to be written.
Nl= Number of lines of remarks to be
32
written as a label for the matrix
A.
N2 must be equal to 1.
PLOT Plots One to Four Curves Described by
Sets of Points Contained in Matrices
A, B, C, D:
A = First matrix to be plotted on one
graph. Plotted as a "+"
.
B = Second matrix to be plotted on
one graph. Plotted as a "*".
C = Third matrix to be plotted on one
graph. Plotted as a "0".
D = Fourth matrix to be plotted on one
graph. Plotted as a " ."
.
* " N3= 1. Offline print indicator. Graph
will be stored in file FT08F001
N4= Number of lines of remarks to be
printed at bottom of graph.
Matrices to be plotted do not have to
have the same number of points. They
have to be entered as N by 2 matrices
with the first column the X co-ordin- -_.
ates and the second column the Y co-
ordinates. When plotting more than
one curve on the same graph, a conflict
may arise if more than one curve passes
33
through the same point. The symbol
printed at that point is determined by
the following order: D, C, B and A.
POLFIT Determines the Coefficients of CUPOL:
A = Input matrix. (18x1)
B = Output matrix of coefficients of
CUPOL, (C lr C 2 , . . . ,C 16 )
where
A(l) = Hx
A(2) = H„
i .A3 A4 A5 A6 >XH
T-A7 A8 A9 A10
All A12 — A13 A14
Ii
ii
A15 A16 A17 A18
I
and
3 3 3 2 3 3CUPOL=C!X Y +C 2X Y +C3X Y+C4X +
C5X2Y 3+C
6X 2Y 2+C
7X 2Y+C
gX 2+
C9XY 3+C10XY
2+C1]L
XY+C12X+
C13y3+C14y2+C15Y+C16
34
CONTUR Contour Maps CUPOL:
N2= Number of lines of comments.
N3= Input type indicator.
a. N3= Blank or 1.
A = Input matrix. Same as for
POLFIT command. (18x1)
B = Output matrix of coefficients
of CUPOL. (16x1)
b. N3= 2
A = Input matrix. (20x1)
A(l) = Lower bound of X.
A (2) = Upper bound of X.
A (3) = Lower bound of Y.
A (4) = Upper bound of Y.
A (5) through A (20) are the
coefficients of CUPOL.
* N4= Offline print indicator. Stores
contour map in file FT09F001.
ITGRAL Integration of Functions Represented
by Discrete Values or Polynomials:
A = Input matrix. (Rxl)
N3= Integration type indicator:
a. If N3= 1, Simpson's Rule for one
dimension. R must be even.
A(l) = Hx
A (2) through A(R) are evenly
spaced values of function.
35
b. If N3 = 2, Simpson's Rule for two
dimensions
.
A(l) = Hx
A(2) = Hy
A (3) through A(R) are values of
function entered row-wise as for
POLFIT.
R = N 2+2, N must be odd.
There must be the same number of
values in both directions. Hx and
Hy can be unequal.
c. If N3= 3, Gauss Quadrature for one
dimension.
A(l) = Lower bound of X.
A (2) = Upper bound of X.
A (3) through A (14) are the co-
efficients of an 11th degree
polynomial
:
A3X11+A
4X10+A
5X 9+A
6X 8+A
7X 7+A
8X6+
a9x 5+a
10x 4+a
i;lx 3+a
12x 2+a13x+a14
d. If N3 = 4, Gauss Quadrature for two
dimensions
.
A(l) = Lower bound of X.
A (2) = Upper bound of X.
A (3) = Lower bound of Y.
36
A (4) = Upper bound of Y.
A (5) through A (20) are coefficients
of CUPOL.
37
IV. LIMITATIONS
A. SIZE AND NUMBER OF MATRICES
The storage available for all of the matrices in any
problem is 80,000 bytes or 10,000 double words. This limit
is arbitrary and controlled only by the total core storage
available at any installation. For the naval Postgraduate
School installation, 10,000 double words was selected in order
to reduce turn around time in batch processing and reduce the
size of the data set required for time sharing. The total
number of matrices which can be stored is 100.
B. MATRIX NAMES
Each matrix is referred to by its name composed of one to
six alphameric characters including blanks. The name is select-
ed by the user when the matrix is first loaded or generated by
an operation. If the name for a previously defined matrix is
used later as a name of a new matrix, the former matrix is
deleted before the operation is executed and is replaced by the
new matrix. This is done so that there is only one matrix with
a certain name at any one time
.
C
.
PLOT
There are 200 points in the Y direction on the graph. The
X direction has 130 points for the remote terminal printing and
160 points for the offline printer. The difference is due to
the different number of lines per inch. The accuracy of the
position of a point depends on the range in both the X and Y
direction. The maximum error in the Y direction is the range
of Y divided by 200. The maximum error in the X direction is
38
the range of X divided by either 130 for the remote terminal or
160 for the offline printer. If the X and Y ordinates of two
or more points fall on the same nodal point on the graph, only
one point will be plotted. If the points are from different
matrices, the matrix hierarchy (see page 34) determines which
will be plotted.
D. INTEGRATION
Integration by Simpson's Rule is restricted to equally
spaced points in any one direction. The error is of the order
of H£ for integration in one dimension and of the order of H£
times H^ for two dimensions. Hx does not have to equal H but
there has to be an odd number of points in any one direction.
Integration by Gauss Quadrature for six Gauss ordinates is
exact for all polynomials of degree eleven or less in one dimen-
sion and for CUPOL in two dimensions [Ref. 11]
E. POLFIT AND CONTUR
The polynomial, CUPOL, will pass through the values of
the function at the nodal points of the grid but may not be a
true representation in the space between nodal points. If the
range of values of the function is less than 10", a contour
map will not be printed.
39
V. HOW TO CALL THE MATRIX INTERPRETIVE SYSTEM
A. TIME SHARING (IMIS VERSION)
At the Naval Postgraduate School, IMIS is stored in a
library (AED) with the name, LIT, so that any number of users
can use the system at any one time. In order to call LIT, it
must be called as a subroutine. A Fortran program called IMIS
has to be written as follows:
CALL LIT
STOP
END
There are two other libraries which must be loaded along
with AED library in order to use LIT. This can be done with an
executive program called SMIS as follows:
FORTRAN IMIS
GLOBAL LOADER TXTLIB AEDLIB SYSLIB
LOAD IMIS
START
SMIS is then executed with the command, $ SMIS. The
computer will then type out the executive program with each
command preceded by a time. Next it will type
EXECUTION BEGINS . .
.
At this time you are in IMIS and ready to begin the first
problem. The first command will be START.
B. BATCH PROCESSING (DSMIS VERSION)
The first card must be a job card for the batch processing
system as follows:
40
//aaaznnmbJOB(nnnn,ssssFP,TTTT) , 'IDENTIFICATION'
where
aaa = The first three letters of the user's last name.
z = Job sequence number
nnnn= User's number.
ssss= Project number.
TTTT= Student section or faculty number.
The next six cards are control cards. Card five is used
only when using the punch command. The cards are as follows
stating in column one:
//JOBLIBbDDbDSNAME=DSMIS.F59CI / UNIT=2 314 ,DISP= (OLD, KEEP)
,
//bbbbbbbbbbbbbV0LUME=SER=MARY
//bbEXECbPGM=DSMIS , REGION=160K
//FT06F001bDDbSYSOUT=A
//FT07F001bDDbSYSOUT=B
//FT05F001bDDb*
The ", " is where blanks are left,b
The problem deck follows with the first command a START
command and the last a STOP command. The last card of the
deck is a standard delimiter card:
/*
On the job request card, check the item marked DISK PACK
under the SPECIAL INPUT heading and write in "MARY". If the
punch command is being used, under the heading SPECIAL OUTPUT
check the item marked PUNCHED CARDS.
41
VI. SAMPLE PROBLEMS
A. THE EIGEN SYSTEM
The matrix equation
[A] {X} = X[B] {X}
where
0.0 -1.0 0.01.0 2.0 -1.00.0 -1.0 2.0
[A] =
and
[B] =
is to be solved. The entire sequence of events is as shown
below. Everything written in lower case was typed by the
operator. The computer response is in upper case.
1.5 0.0 0.00.0 2.0 0.00.0 0.0 2.5
42
CO
ro
oCM
OrH
I
O•
O
ro
co
Q
W CM w T*
UP O D^ • ^O H OU 1 U u
ro ro CQo• ino •
CM J3
< - CQ ^ < Uin o CO
H 3: • £o S H« Q O H Q o • W s<C rd < X> < (fl o U HFH O O H «
+J en J ro tl r- d W ro -P CMu T3 13 (D ccrj id O CO in en •H-M • • •rH 5-1
(0 H O rH rH d) &
H O rHO O OPOPCTi CO <tf
in 00 o^ O CM
ro vd ON <&in CM Oo CO <J\
• • •
001
rH CM1
o H rHo o o
1 1
QI 1
Q Q<T\ r- oro <x> ^<rH V£> CM
CM VO o inCO o\ COrH ^r ro
• • •
rH in vo
H rH OO
1
O O1
Q Q QrH r^ ^r- rH <£>
CM rH rorH -^ *£> rj\
l> CM *£>
r^ KD O• • •
roI
^T rH1
rH CM CO
rHO
I
DCMCOin
co inCO
•
CMI
OI
QCOCM
CO
in
oo
CM
Tj H•P 04c•Hua,
rHinoin
43
w
3ou
Eh
XPu fO
EHU CO Q x u
PU TJ X U X
Eh HO X » X U U <:
W & O X Eh>z O O Q p EH P EH 2
u a X rt Ph x o ^ U J fO HPh H Eh D P #
W Eh n co tnco S S P 04
C -n p P CA3 M H H •HU 0) -p 3 3 HP N w e £ D.
co o o!-H o oQ P Qco o oCO o or- o o
co cm o oo o oC\ o o
• • •
r-\ rH CM1
O1
o oO o oQ Q Qo o oo o oo o o
CM O o oO o oo o o
• • •
fH CM iH
ro o coHOHi
1
Q Q QCO o 00CM o CMCO o CM
rH rH o CMr> o o•^r o (T>
I I
H CM CO
a,opw
oEn
44
B. CONTOUR MAP
A contour map for a surface described by the ordinates at
the sixteen nodal points of the grid shown on page 4 7 is
desired.
[A] =
10.0 12.0 8.0 10.012.0 11.0 9.0 8.08.0 9.0 11.0 12.0
10.0 8.0 12.0 10.0
and
Hx"Hy- 1
The results are as follows
45
c^
CO
CO
a\
CO(NH
o orH iH
• CMWOOH|DA •
O CN •
U H CO
m
o o£1
wH 5 DOS Q O • CM Eh
<C fC <£ Pi rH rH «J 2Eh O H O
p W i-5 CO 3 Un H3 rH -Pn rrj c+> • rH oW rH rH rH u
46
r- © m <oO O o cc>
i o m hin o 4- 0'• • • •
CD O f* CM
a.
t/>
l-zoa
or
t~
OUJ(9<a
a
UJxt-
o o o oo o o oo o o oo o o oo o o oo o o o• • • •
O 00 CM O
1 « c uCM >©
4 CD ft •-I
3 => o Do o © oo o o oo o o oo o o oo o o oo o © o
H II HUJ -9 => 1^
0- r-« 4 f-00 00 t- O
—• 4 o <0 CMCM r- •-< <o
CM • • • *
o 0D a<-<
CMi-l
c<00D•-1
aCM H N n II
f-1 o >— »- V00 O- f-> CM
U II II II
—• If
5 5 3 3
o CO rf) CO1^ «0 irt •*
lf> fl l>- coo- 4- 00 fO
t>- O- O CM
o oo oo oo oo oo o
o oo ©o ©o o© oo o
N H a B
z> z>
o oo oo oo oo oo o
II II
O 4"»H r*=> Z3
o oo oo oo oo oo o
oir>
4-r-l II ll •I II
00 u X 1/1 Xot»•
oCM 4- r~ ©lf> «* CO ro•o CM CD <*
M <o w> u% oUl • • • 1
o I'- V~ o CM? f* i-l
<
O CM 00 © u
XI-
a * 1 M f\ CO vD a f—CO <0 CO CM 9-* f-<
v-< u. O- fl 4 e'- C*l a lf>
z> 3 => 3 <«• en 00 CM t-
t-< • • • •
00 l»- 00 o r->
o «-« —
•
*o
II II
o >
47
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or <«a OCCCCCC «j«s< tfff 00 r u. u O I *- OolV> K 3 > 33 xx >->->- ^kmkkjkk >->- x<< COCOCDOD «a«3 CCCO o C Ui u C I •"-• O a -*" K 3 > 3 XX >->- ^rsirsir^^JMhjr^ >->-
«< COCCDOO 4-*< 03 o DO UU u C X •- -3-3 O tf M K S >> 3 X >->->- fsiiNii^isjfvi^-j >->-<] < COOOOO << O3C0 to O UI IL C9 X "- "1"3 O a V3 K 3 > 33 XX >->- »wr*jM-vKjf»j >->-«< fjCCCO «j«-«l OC o O U1U1 u O X •- —J-5 O a </i K 33 > 3 X >>->- MvNnk >>-
«« 00 <<« a ec 00 00 uj u u e X «-> -5-5 o a. v> n- 3 >> 33 xx >>>- nn >->-
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«
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-5-5 -5—. "5 "5 "5 -5 -5"5 -5 -5 "5 -5 -5-5^-5 -5 -5 -5 "5-5 -5 "5 -5T5 -5 "5"5 "5-5 -5 -5"5 -5 -5 -5 -5-5"5^-5 -5"5 -5 -5-5 "5 "5 "5 -5 "5-5 -5 -5 -5T5 -5-5 "5 -5-5-5 -3 -5"5 "5 "5-5 "5-3 -5T5 -5-^-5-5-5^-5-5-5-5-5-5-5-5-5-5-5-5-5-5-5-5-3-5-5-5-5-5-^-5-5-5-5-5-5
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3> 3 X >->- >->- X 3 > 3 K V> 3 X >->- >-> X 3 > 3 K v
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-5-5 •- I o u Ul OO OO C0O3 «< <<«' -5-5 - I OO U- UIUJ o OO 0303 <<«! <<<' -5-5 X o u Ul o OO 0303 «« «1 "5-5 >-. I o uu ID OO OO coec <<< oo «I -5-5 I O U- UIUJ o o 03 <<< ooooo «1 -5-5 * r c u ui O KJ^J 0000 << OOOOOO <«t1 "5-5 - X O u Ul OO o 03 «t<< coooooo <<O _ I C U Ul o o coco «< oooooooo 4<o I o U Ul O OO coco <<< OOOOOOO 4X< CO
o I o u UIUI o o 03 <•* OOOOOOOO << CO
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48
CQ
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49
The command
offline punch file ft07f001
will cause the matrix B to be punched onto cards with the
indicated format of four numbers per card with a field width
of 15 and 8 significant figures.
If the input for the contour map had been the coefficients
of CUPOL, the first page of output would have been as follows:
THIS IS THE FIRST PAGE OUTPUT COEFFICIENTS AS INPUT.
0.333300 X3Y3
1.500000 X2Y3
•2.833000 XY3
2.000000 Y3
1.500000 X3Y2
-6.750000 X2Y2
12.750000 XY2
-9.000000 Y2
-2.833000 X3Y
12.750000 X2Y
•18.750000 XY
9.000000 Y
2.000000 X3
-9.000000 X2
9.000000 X
10.000000
0= 7.0837699378
A= 7.3776 B =
F= 8.8465 G=
0= 10.3154 P =
V= 11.7843 W=
RANGE( 0. 708377D 01
7.6713 C= 7.9651
9.1402 H= 9.4340
10.60 c 2 S= 10.9029
12.0781 X= 12. 3^19
0.1295 940 02 »
0= 8.2589 E= 8.5527
1 = 9.7278 J= 10.0216
T = 11.1967 U= 11.4905
Y = 12.6656 Z= 12.°594
50
C. GRAPH
A plot of the function
x = e"15t sin(54.99t)
is desired from t = 0.0 to t = 0.3. The values were calculated
in a separate program and the values of X were punched onto
cards. They were prepared for offline reading into file
FT04F001.
The first card is a standard CP67 offline read card as
follows starting in column one.
CP67USERIDbbGUxxssssbbbbbbTTTT
where
xx = Terminal number user will be using.
ssss= User's account number.
TTTT= User's name.
The second card is as follows:
OFFLINEbREADbFILEbFT04F001
The next card is a LOAD command card with a 1. in SI.
LOAD A 80 2 1.
The matrix is punched onto cards row-wise with the same
format as one of the options under IMIS and these cards follow
the LOAD card. As many matrices as desired may be loaded in
this manner. The last card is a continue card as follows:
CONT 1
.
This card indicates that all matrices have been read
from file FT04F001. The deck is then loaded into the computer.
51
After logging onto the time sharing system, the command to read
the file is as follows:
offline read *
OFFLINE READ READ FILE FT04F001
IMIS is then executed and the sequence is as follows:
52
<J •> <! <Cw
H & wPi Q O Eh Eh
< <« (dH moEh O « hh"
-p CO J O Q) & Pmu T) CO +J -P(0 fd -H+> 0) U HW ^ S &
53
-X + *K - -X * + —
O
54
o4J
W
o
55
The command
OFFLINE PRINTCC FILE FT0 8F001
will cause the matrix A to be printed on the offline printer
56
VII. IMPROVEMENTS
This system is an open ended system, i.e., any matrix
operation with fewer than four matrix arguments, four integer
arguments and two scalar arguments can be coded as a new
command and added to the system. As coded this program is
sequential. Each command is executed once after it is read,
no facilities for automatic repetitive execution of one or more
commands is included. Such a feature would be very useful if
it could be implemented without introducing extraneous
complexities to the language.
57
APPENDIX A COMPUTER PROGRAM
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LIST OF REFERENCES
1. Holman, J. P., Heat Transfer , 2nd ed., p. 55, McGraw-Hill, 1968.
2. Crandall, S. H. , Engineering Analysis , pp. 1-405,McGraw-Hill, 1956.
3. Schlichting, H., Boundary Layer Theory , 6th ed., pp. 181-184, McGraw-Hill, 1968.
4. Wilkinson, J. P., The Algebraic Eigenvalue Problem ,
pp. 189-483, Oxford University Press, 1965.
5. Clenshaw, C. W. , and others, Modern Computing Methods ,
2nd ed., pp. 1-136, John Wright & Sons, 1961.
6. Forsythe, G. E. and Moler, C. B., Computer Solution ofLinear Algebraic Systems , pp. 1-136, Prentice-Hall, 1967.
7. Fox, L. , An Introduction to Numerical Linear Algebra ,
pp. 60-99, Oxford University Press, 1965.
8. IBM System/360, "FORTRAN IV LANGUAGE," Form C-28-6515-5,IBM Corp., Poughkeepsie, N. Y.
9. Przemieniecki , J. S., Theory of Matrix Structural Analysis ,
pp. 70-82, McGraw-Hill, 1968.
10. USERS MANUAL , 1st ed. , pp. 4-1 - 4-9, Naval PostgraduateSchool Computer Center, 1970.
11. Stroud, A. H. and Secrest, D. , Gaussian QuadratureFormulas
,
p. 7, Prentice-Hall, 1966.
95
INITIAL DISTRIBUTION LIST
No. Copies
1. Defense Documentation Center 2
Cameron StationAlexandria, Virginia 22314
2. Library, Code 0212 2
Naval Postgraduate SchoolMonterey, California 93940
3. Director, Computer Facility, Code 0211 5
Naval Postgraduate SchoolMonterey, California 93940
4. Professor Gilles Cantin, Code 59Ci 5
Department of Mechanical EngineeringNaval Postgraduate SchoolMonterey, California 93940
5. LT R. D. Little, USN 2
Ship Repair Facility, GuamFPO San Francisco, California 96630
96
Security Classification
DOCUMENT CONTROL DATA -R&D/Security classification o( title, body ol abstract and indexing annotation must be entered when the overall report Is classllied)
I ORIGINATING activity (Corporate author)
Naval Postgraduate SchoolMonterey, California 93940
2«, REPORT SECURITY CLASSIFICATION
Unclassified26. GROUP
3 REPOR T TITLE
An Interactive Matrix Interpretive System For theIBM 360/67
4. DESCRIPTIVE NOTES (Type ol report and, inclusive dates)
Master's Thesis; June 1970S au THORlS) (First name, middle initial, last name)
Robert Douglas Little
«. REPOR T D A TE
June 1970
7a. TOTAL NO. OF PAGES
97
7b. NO. OF REFS
11(a. CONTRACT OR GRANT NO.
b. PROJEC T NO.
0a. ORIGINATOR'S REPORT NUMBERIS)
9b. OTHER REPORT NO(S) (Any other numbers that may be assignedthis report)
10. DISTRIBUTION STATEMENT
This document has been approved for public release and sale;its distribution is unlimited.
11. SUPPLEMENTARY NOTES 12. SPONSORING MILITARY ACTIVITY
Naval Postgraduate SchoolMonterey, California 93940
13. ABSTR AC T
The Matrix Interpretive System devised by Wilson and modified by
Cantin has been transformed into an interactive program operable under
a time sharing system. Several new commands have been added to extend
the usefulness of the code and give it the capability to offline read,
write and punch data, to plot graphs and contour maps and to integrate
simple polynomial expressions.
DD, F
r."..1473 lPAGE "S/N 0101 -807-681 1 97 Security Classification
A-S1408
Security Classification
KEY WO R DS
Problem Oriented Computer Sublanguage
Matrix Interpretive System
Numerical Linear Algebra
FORMNOV 6 51473 (BACK)
107-68? I 98 Security Classification A- 31 409
.
2 7 12 7
thesL712
An interactive Matrix Interpretive Syste
3 2768 002 12709 4DUDLEY KNOX LIBRARY