In this paper we offer an overview on the topic of Microservices science and engineering (MSE) and we provide a collection of bibliographic references and links relevant to understand an emerging field. We try to clar...
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ISBN:
(数字)9783319705781
ISBN:
(纸本)9783319705781;9783319705774
In this paper we offer an overview on the topic of Microservices science and engineering (MSE) and we provide a collection of bibliographic references and links relevant to understand an emerging field. We try to clarify some misunderstandings related to microservices and Service-Oriented Architectures, and we also describe projects and applications our team have been working on in the recent past, both regarding programming languages construction and intelligent buildings.
this article is concerned with quadratic fractional optimal control problems with linear state constraints. Such problems are called the continuous-time quadratic fractional programming problems (CQFP). Some basic pro...
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A novel algorithm of designing polynomial interpolation filter as anti-imaging filter is presented. the proposed algorithm is based on linear programming techniques and it is easy to implement. Results indicate that t...
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In this work, a novel value function-based reinforcement learning (RL) approach, descending dynamic policy programming (DDPP) is proposed to address the issues of sample-efficiency and learning stability in control pr...
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DBSCAN is a well-known clustering algorithm that is often used to find associations and structures in large spatial data. Due to its popularity, built-in functions for DBSCAN have been implemented on top of many diffe...
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Value engineering is an effective technique for reducing costs, increasing productivity and improving quality. Value engineering is a technique directed toward analyzing the functions of an item or process to determin...
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Value engineering is an effective technique for reducing costs, increasing productivity and improving quality. Value engineering is a technique directed toward analyzing the functions of an item or process to determine best value or the best relationship between worth and cost functions. Building construction costs comprises 2 major components as materials cost and labor cost. Linear programming (LP) is a quantitative technique by means of a mathematical modeling technique designs to solve allocation problem (resource allocation) to achieve the maximum profit or lowest cost. therefore the authors bringing the advantages of both as value engineering and linear programming combined to work together in order to be able to effectively reduced building construction costs or create maximum value engineeringthat can be best used in the construction projects. Aim of this paper shows the reduction of building construction cost as to achieved the targets for reducing building construction cost or maximum value engineering as much as possible that leads to efficiency of cost reduction by used of principles of value engineering to apply with using linear programming for the reduction of building construction costs based on the material costs and labor costs to serve construction resource reallocation by consideration is made only 3 type construction materials as concrete, rebar and formwork because of 3 type are main component of building construction materials.
the widespread availability of local-area networks has made the combined processing power of workstations a viable approach for compute-intensive analyses. In this paper, we describe several distributed algorithms for...
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the widespread availability of local-area networks has made the combined processing power of workstations a viable approach for compute-intensive analyses. In this paper, we describe several distributed algorithms for structural analysis using finite element methods, and we assess their performance on a conventional Ethernet-connected workstation network. Direct, iterative and hybrid equation solvers are evaluated for their performance on plane-elasticity problems, and are contrasted with respect to overall solution time and efficiency in distributing computations over a network. Equations modeling the costs of network communication and structural analysis computations are derived, and are subsequently used to predict the performance of several variations on the implemented algorithms. Our results show that each of the methods performs well on network architectures, and in particular that, while direct methods usually minimize network communication, certain iterative and hybrid methods can often be used to minimize overall solution time. Copyright (C) 1996 Civil-Comp Limited and Elsevier science Limited.
the proceedings contain 7 papers. the special focus in this conference is on Unifying theories of programming. the topics include: three approaches to timed external choice in UTP;a mechanised theory engineering frame...
ISBN:
(纸本)9783319148052
the proceedings contain 7 papers. the special focus in this conference is on Unifying theories of programming. the topics include: three approaches to timed external choice in UTP;a mechanised theory engineering framework;angelicism in the theory of reactive processes;constructing the views framework;observation-oriented semantics for calculus of wireless systems and a formal model for a hybrid programming language.
Friend keyword is a special syntax only in C++. Friend construct in C++ programming language is a violation of encapsulation, that will made default program become more and more difficult and complex. this paper will ...
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In this paper, the optimization problems with inequality and equality constraints are considered. Using the Fenchel-Rockafellar approach, different dual optimization problems by means of distinct perturbations of the ...
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