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%1MOST RECENT CS REPORTS - JUNE 1979

@Listed below are abstracts of the most recent reports published by the
Computer Science Department of Stanford University.

@TO REQUEST REPORTS:  Check the appropriate places on the enclosed order
form, and return the entire order form page (including mailing label) by
June 29, 1979.  In many cases we can print only a limited number of copies,
and requests will be filled on a first come, first serve basis.  If the code
(FREE) is printed on your mailing label, you will not be charged for hardcopy.
This exemption from payment is limited primarily to libraries.  (The costs
shown include all applicable sales taxes.  PLEASE SEND NO MONEY NOW, WAIT UNTIL 
YOU GET AN INVOICE.)

@ALTERNATIVELY:  Copies of most Stanford CS Reports may be obtained by writing
(about 2 months after MOST RECENT CS REPORTS listing) to NATIONAL TECHNICAL
INFORMATION SERVICE, 5285 Port Royal Road, Springfield, Virginia 22161.
Stanford Ph.D. theses are available from UNIVERSITY MICROFILMS, 300 North
Zeeb Road, Ann Arbor, Michigan 48106.
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STAN-CS-79-710
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@NUMERICAL COMPUTATION OF THE SCHWARZ-CHRISTOFFEL TRANSFORMATION

Author:  Lloyd Trefethen

@ABSTRACT:  
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No. of pages:  60
Cost:  $ 3.40
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STAN-CS-78-711
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@VERSION SPACES: AN APPROACH TO CONCEPT LEARNING

Author:  Tom Michael Mitchell↔(Thesis)

@ABSTRACT:  A method is presented for learning general descriptions of concepts
from a sequence of positive and negative training instances.  This method involves
examining a predetermined space or language of possible concept descriptions,
finding those which are consistent with the observed training instances.  Rather
than use heuristic search techniques to examine this concept description space,
the subspace (version space) of all plausible concept descriptions is represented
and updated with each training instance.  This version space approach determines
all concept descriptions consistent with the training instances, without backtracking
to reexamine past training instances or previously rejected concept descriptions.

@The computed version space summarizes the information within the training instances
concerning the identity of the concept to be learned.  Version spaces are therefore
useful for making reliable classifications based upon partially learned concepts,
and for proposing informative new training instances to direct further learning.
The uses of version spaces for detecting inconsistency in the training instances,
and for learning in the presence of inconsistency are also described.

@Proofs are given for the correctness of the method for representing version
spaces, and of the associated concept learning algorithm, for any countably
infinite concept description language.  Empirical results obtained from computer
implementations in two domains are presented.  The version space approach has
been implemented as one component of the Meta-DENDRAL program for learning
production rules in the domain of chemical spectroscopy.  Its implementation in
this program is described in detail.
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No. of pages:  216
Cost:  $ 7.75
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.end
STAN-CS-79-712
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@THE ERRATA OF COMPUTER PROGRAMMING

Author:  Donald E. Knuth

@ABSTRACT:  This report lists all corrections and changes of Volumes 1 and 3 of
%2The Art of Computer Programming%1, as of January 5, 1979.  This updates the
previous list in report CS-551, May 1976.  The second edition of Volume 2 has
been delayed two years due to the fact that it was completely revised and put
into the TEX typesetting language; since publication of this new edition is not
far off, no changes to Volume 2 are listed here.
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No. of pages:  58
Cost:  $ 3.35
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.end
STAN-CS-79-713
.once preface 0
@A HESSENBERG-SCHUR METHOD FOR THE PROBLEM AX + XB = C

Authors:  Gene Golub, Stephen Nash & Charles Van Loan

@ABSTRACT:  One of the most effective methods for solving the matrix equation
AX + XB = C is the Bartels-Stewart algorithm.  Key to this technique is the
orthogonal reduction of A and B to triangular form using the QR algorithm for
eigenvalues.  A new method is proposed which differes from the Bartels-Stewart
algorithm in that A is only reduced to Hessenberg form.  The resulting algorithm
is between 30 and 70 percent faster depending upon the dimensions of the
matrices A and B.  The stability of the new method is demonstrated through a
roundoff error analysis and supported by numerical tests.  Finally, it is
shown how the techniques described can be applied and generalized to other
matrix equation problems.
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No. of pages:  50
Available in microfiche only.
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AIM-322
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@A FRAMEWORK FOR CONTROL IN PRODUCTION SYSTEMS

Author:  Michael Georgeff

@Abstract:  A formal model for representing control in production systems is defined.  The
formalism allows control to be directly specified independently of the conflict
resolution scheme, and thus allows the issues of control and nondeterminism to
be treated separately.  Unlike previous approaches, it allows control to be
examined within a uniform and consistent framework.

@It is shown that the formalism provides a basis for implementing control
constructs which, unlike existing schemes, retain all the properties desired
of a knowledge based system --- modularity, flexibility, extensibility and
explanatory capacity.  Most importantly, it is shown that these properties are not
a function of the lack of control constrains, but of the type of information
allowed to establish these constraints.

@Within the formalism it is also possible to provide a meaningful notion of
the power of control constructs.  This enables the types of control required
in production systems to be examined and the capacity of various schemes to
meet these requirements to be determined.

@Schemes for improving system efficiency and resolving nondeterminism are
examined, and devices for representing such meta-level knowledge are described.
In particular, the objectification of control information is shown to provide a
better paradigm for problem solving and for talking about problem solving.
It is also shown that the notion of control provides a basis for a theory of
transformation of production systems, and that this provides a uniform and
consistent approach to problems involving subgoal protection.
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No. of pages:  35
Cost:  $ 2.70
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.end