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Showing papers on "Continuous optimization published in 1978"



Journal ArticleDOI
19 Nov 1978
TL;DR: This paper describes a technique of global optimization of microprograms including loops and recursive subroutines and its effectiveness is evaluated and confirmed by applying it to an existing microprogrammable computer composed of LSI processor modules.
Abstract: This paper describes a technique of global optimization of microprograms including loops and recursive subroutines. This technique can be applied to a wide variety of microprogrammable machines. The principle of global optimization, four basic types of global optimization, and extended types of global optimization are discussed and the optimization algorithm is shown. Its effectiveness is evaluated and confirmed by applying it to an existing microprogrammable computer composed of LSI processor modules.

33 citations



01 Jan 1978
TL;DR: The main purpose of this article is to review briefly some important applications of nondifferentiable and stochastic optimization and to characterize principal directions of research.
Abstract: Optimization methods are of a great practical importance in systems analysis. They allow us to find the best behavior of a system, determine the optimal structure and compute the optimal parameters of the control system etc. The development of nondifferentiable optimization, differentiable and nondifferentiable stochastic optimization allows us to state and effectively solve new complex optimization problems which were impossible to solve by classical optimization methods. The main purpose of this article is to review briefly some important applications of nondifferentiable and stochastic optimization and to characterize principal directions of research. Clearly, the interests of the author have influenced the content of this article.

8 citations


Journal ArticleDOI
TL;DR: In this paper, a design optimization problem for minimum weight of torsional coil springs was formulated using geometric programming and an explicit solution of the optimization problem was obtained and applied to a numerical example.
Abstract: Geometric programming is applied to solve a design optimization problem for minimum weight of torsional coil springs. An explicit solution of the optimization problem is obtained and applied to a numerical example.

4 citations



Journal ArticleDOI
TL;DR: An erratic formulation of the construction of an Aconjugate pair given in Ref. 1 is corrected in this paper, where the authors show that it is possible to construct a conjugate pair in time O(n 2 ).
Abstract: An erratic formulation of the construction of anA-conjugate pair given in Ref. 1 is corrected.

2 citations


Journal ArticleDOI
20 Apr 1978

2 citations



Journal ArticleDOI
01 Nov 1978