نتایج جستجو برای: gramming

تعداد نتایج: 158  

2011
Monika Sharma Prashant Soni

As a java programmer one might face networking using socket programming. A network-based system consists of a server, client, and a media for communication and for such communication we use “Sockets”. Sockets are interfaces that can "plug into" each other over a network. Once so "plugged in", the programs so connected communicate. A socket is one end-point of a two-way communication link betwee...

Journal: :Science intensive technologies in mechanical engineering 2023

The results of experimental studies to determine the influence parameters reversible surface plastic deformation on waviness cylindrical parts made steel 45, are presented. proposed method implemen-tation for finishing and hardening treatment requires development a device formation reversing circular motion working tool. On completion using PyCharm computer program Python pro-gramming language,...

2011
Jiaul H. Paik Kimmo Kettunen Dipasree Pal Kalervo Järvelin

This paper presents results of a generative method for the management of morphological variation of query keywords in Bengali, Gujarati and Marathi. The method is called Frequent Case Generation (FCG). It is based on the skewed distributions of word forms in natural languages and is suitable for languages that have either fair amount of morphological variation or are morphologically very rich. ...

A Sarfaraz M.B Aryanezhad S.J Sadjadi

In this paper, the researchers present a multi-objective linear fractional inventory model using fuzzy pro-gramming. The proposed method in this paper is applied to a problem with two objective functions. The re-sulted fuzzy model is transformed into an ordinary linear programming. The implementation of the develop-ing model presented in this paper is demonstrated through the use of some numeri...

1990
Peter Dayan

Barto, Sutton and Watkins [2] introduced a grid task as a didactic example of temporal difference planning and asynchronous dynamical pre>gramming. This paper considers the effects of changing the coding of the input stimulus, and demonstrates that the self-supervised learning of a particular form of hidden unit representation improves performance.

2012
Vicki Sivess Hugh Glaser

At Southampton University, we introduced Standard ML into the first year programming course as a vehicle both for teaching programming and for introducing principles of software engineering. The paper first outlines the background of the students and the depth of programming experience prior to joining the course. The class was divided almost equally into those with experience equivalent to A l...

In the extension of irregularity indices, Abdo et. al. [1] defined the total irregu-larity of a graph G = (V, E) as irrt(G) = 21 Pu,v∈V (G) du − dv, where du denotesthe vertex degree of a vertex u ∈ V (G). In this paper, we investigate the totalirregularity of trees with bounded maximal degree Δ and state integer linear pro-gramming problem which gives standard information about extremal trees a...

Convexity theory and duality theory are important issues in math- ematical programming. Within the framework of credibility theory, this paper rst introduces the concept of convex fuzzy variables and some basic criteria. Furthermore, a convexity theorem for fuzzy chance constrained programming is proved by adding some convexity conditions on the objective and constraint functions. Finally,...

2014
Shmuel Katz

Three language constructs appropriate for the design and pro­ gramming of distributed systems are described. The team abstracts repeated interprocess activities and isolates processes to the context where they are needed. The interaction provides multiparty synchronization and communi­ cation. The superimposition defines modules that augment existing teams. Partial correctness proof rules and c...

1995
S. K. Michael Wong Cory J. Butz Yang Xiang

This paper discusses a method for im­ plementing a probabilistic inference system based on an extended relational data model. This model provides a unified approach for a variety of applications such as dynamic pro­ gramming, solving sparse linear equations, and constraint propagation. In this frame­ work, the probability model is represented as a generalized relational database. Subse­ quent p...

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