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H. R. Hwa

dblp:92/6347 · DBLP profile ↗
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5ranked-venue papers
3as first author
0since 2021 · last 1974
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Systems, architecture and hardware · 5 · 3 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer architecture, parallel and distributed computing, and storage systems
4 papers
Electronic design automation · 76% Integrated circuit design · 24%
Theoretical computer science
3 papers
Computational complexity · 31% Coding theory · 25% Mathematical optimization · 25%

Topics — the 7 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Electronic design automation
logic synthesis
0.041974
A Method for Generating Prime Implicants of a Boolean Expression · IEEE Trans. Computers 1974
An Approach for the Realization of Threshold Functions of Order r · IEEE Trans. Computers 1969
Testing and Realization of Threshold Functions with Don't Cares · IEEE Trans. Electron. Comput. 1967
Integrated circuit design › digital circuit design
threshold logic
0.031969
An Approach for the Realization of Threshold Functions of Order r · IEEE Trans. Computers 1969
Testing and Realization of Threshold Functions with Don't Cares · IEEE Trans. Electron. Comput. 1967
Testing and Realization of Threshold Functions by Successive Higher Ordering of Incremental Weights · IEEE Trans. Electron. Comput. 1966
Computational complexity › circuit complexity
threshold functions
0.021972
Contradiction Equations in a B Matrix of Vertex Weight Method and Their Correspondence with the k-Summability Property of Vertices · IEEE Trans. Computers 1972
An Approach for the Realization of Threshold Functions of Order r · IEEE Trans. Computers 1969
Electronic design automation › logic synthesis
logic minimization
0.011974
A Method for Generating Prime Implicants of a Boolean Expression · IEEE Trans. Computers 1974
Coding theory
boolean functions
0.011974
A Method for Generating Prime Implicants of a Boolean Expression · IEEE Trans. Computers 1974
Mathematical optimization › discrete optimization › boolean function minimization
prime implicant enumeration
0.011974
A Method for Generating Prime Implicants of a Boolean Expression · IEEE Trans. Computers 1974
Electronic design automation › logic synthesis
threshold logic synthesis
0.021967
Testing and Realization of Threshold Functions with Don't Cares · IEEE Trans. Electron. Comput. 1967
Testing and Realization of Threshold Functions by Successive Higher Ordering of Incremental Weights · IEEE Trans. Electron. Comput. 1966

Methods — techniques the papers use, named apart from their topics

subcube enumeration · 0.0function lattice · 0.0summability property · 0.0unate function positivizing · 0.0successive higher ordering · 0.0nonlinear separation · 0.0inequality solving · 0.0incremental weights · 0.0
YearPublicationVenuePosition
1974 A Method for Generating Prime Implicants of a Boolean Expression
abstract
This correspondence gives a method which generates prime implicants in a simple one-pass procedure. Starting from the lowest (or highest) points in the function lattice, it generates successive subcubes in a unique sequence. Each subcube is formed only once.
H. R. Hwa
IEEE Trans. Computers1
1972 Contradiction Equations in a B Matrix of Vertex Weight Method and Their Correspondence with the k-Summability Property of Vertices
abstract
This note attempts to show that, in a vertex weight method [1], every contradiction equation bears a one-to-one correspondence with the summability pair C1S, C2S, where C1S= {X11, X12, ..., X1k}⊆ C1C2S= {X21, X22,..., X2k} ⊆ C2and vector sums of the vertices plz check [Eqa] The vertices, Xki's, K = 1, or 2, are not necessarily distinct, and C1, C2are two disjoint sets of vertices in Enspace. As a consequence, the contradiction equation is a necessary and sufficient condition that the homogeneous system, solved for a threshold function of order r, has no solution. This tells that the threshold function is of order greater than r.
H. R. Hwa
IEEE Trans. Computers1
1969 An Approach for the Realization of Threshold Functions of Order r
abstract
In this paper we shall study the problem of nonlinear separation. As usual, a Boolean function F of n binary variables, xl,..., xn, xiΣ{1,0}, i=1,..., n, will be represented by a set of vertices C in the n-dimensional Euclidean space Enwhere each vertex has n binary-valued components, {1,0}.
H. R. Hwa, C. L. Sheng
IEEE Trans. Computers1
1967 Testing and Realization of Threshold Functions with Don't Cares
abstract
In this note the successive-higher-ordering method for testing and realization of threshold functions is applied to the realization of a threshold function F, such that it will contain a given function F1, which may or may not be a threshold function, and such that it will be contained in F1+Fø, where Føis the function representing the don't care vertices. Before the application of the successive-higher-ordering method, the given functions F1and F0= (F1+Fø) are first changed into unate functions by the successive positivizing of the functions with respect to the variables, one at a time. Some theorems relating to this formation of unate functions are presented. A systematic procedure for testing and realization is developed. An example is given for illustration.
C. L. Sheng, H. R. Hwa
IEEE Trans. Electron. Comput.2
1966 Testing and Realization of Threshold Functions by Successive Higher Ordering of Incremental Weights
abstract
In this paper, a modification or generalization of Sheng's secondary ordering method for testing and realization of threshold functions is presented. Instead of assigning integral values to the incremental weights according to secondary ordering, a search for successively higher ordering is made, and incremental weights of higher orders are successively substituted back into the inequalities until finally no more higher ordering can be found. If the given function is a threshold function, it will turn out that the sum of the coefficients of all the terms on the left side of each of the inequalities will be greater than the sum of the coefficients of all the terms on the right side. Then a minimal integral assignment can be made by assigning unity to every incremental weight of any order appearing in the final set of inequalities. If the given function is not a threshold function, a contradiction will be revealed. Some theorems are proved to justify the method. A complete procedure for testing and realization is given. An example is worked out in detail to illustrate this method.
C. L. Sheng, H. R. Hwa
IEEE Trans. Electron. Comput.2