Results 211 to 220 of about 88,332 (263)
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Surrogate Mathematical Programming
Operations Research, 1970This paper presents an approach, similar to penalty functions, for solving arbitrary mathematical programs. The surrogate mathematical program is a lesser constrained problem that, in some cases, may be solved with dynamic programming. The paper deals with the theoretical development of this surrogate approach.
Harvey J. Greenberg +1 more
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On Fuzzy-Mathematical Programming
Journal of Cybernetics, 1973In problems of system analysis, it is customary to treat imprecision by the use of probability theory. It is becoming increasingly clear, however, that in the case of many real world problems involving large scale systems such as economic systems, social systems, mass service systems, etc., the major source of imprecision should more properly be ...
Tanaka, Hideo +2 more
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Proceedings of the 9th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing - CompSysTech '08, 2008
Learning how to develop a program is known to be a difficult task to many novice students. This is a problem to which, neither the traditional teaching methods nor the more sophisticated methods based on computational tools already proposed have been able to meet.According to the related literature and our own experience as teachers, there seems to be ...
Ana Pacheco +4 more
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Learning how to develop a program is known to be a difficult task to many novice students. This is a problem to which, neither the traditional teaching methods nor the more sophisticated methods based on computational tools already proposed have been able to meet.According to the related literature and our own experience as teachers, there seems to be ...
Ana Pacheco +4 more
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Symmetric Mathematical Programs
Management Science, 1970Mathematical programs with S-convex and with symmetric objective and feasibility regions are investigated. Optimal solutions and algorithms are presented for both continuous and discrete optimization problems.
Harvey J. Greenberg +1 more
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Fuzzy mathematical programming
Computers & Operations Research, 1983This chapter introduces a type of mathematical programming, in which not all constraints have to be crisp, i.e. in which certain violations of the constraints are tolerable. Also the goals do not have to be maximized or minimized as in classical mathematical programming, they are substituted by aspiration levels, that have to be met as well as possible.
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A mathematical programming generator
ACM SIGAPL APL Quote Quad, 1989This paper describes a mathematical programming generator that interprets problem statements written in the algebraic notation found in journal articles and text-books and outputs statements in the MPS format used by IBM's MPSX mathematical programming system.
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Mathematical Programming Embeddings of Logic
Journal of Automated Reasoning, 2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Borkar, Vivek S +2 more
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Software for mathematical programming
Proceedings of the 1971 26th annual conference on -, 1971The development of software for mathematical programming has paralleled the development of basic software and has perhaps the longest history of any application system in the computing field. It is by now powerful and elaborate, as well as complicated and expensive.In spite of some aberrations in the evolution of mathematical programming systems, or ...
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Mathematical Construct for Program Reorganization
IBM Journal of Research and Development, 1975A mathematical formalism is described through which a program is given a symbolic representation and, with the applihation of several basic formulas, may be transformed into an equivalent representation giving rise to a reorganized program. Examples are given in which programs are simplified (e.g., code is reduced) or reorganized into a structured form.
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History of Mathematical Programming Systems
IEEE Annals of the History of Computing, 1978The systematic development of practical computing methods for linear programming (LP) began in 1952 at the Rand Corporation in Santa Monica, under the direction of George B. Dantzig. The author worked intensively on this project there until late 1956, by which time great progress had been made on first-generation computers.
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