Calling the lp_solve Linear Program Software from R, S-PLUS and Excel

We present a link that allows R, S-PLUS and Excel to call the functions in the lp_solve system. lp_solve is free software (licensed under the GNU Lesser GPL) that solves linear and mixed integer linear programs of moderate size (on the order of 10,000 variables and 50,000 constraints). R does not include this ability (though two add-on packages offer linear programs without integer variables), while S-PLUS users need to pay extra for the NuOPT library in order to solve these problems. Our link manages the interface between these statistical packages and lp_solve. Excel has a built-in add-in named Solver that is capable of solving mixed integer programs, but only with fewer than 200 variables. This link allows Excel users to handle substantially larger problems at no extra cost. While our primary concern has been the Windows operating system, the package has been tested on some Unix-type systems as well.

Software Program: Software Management Guidebook

The purpose of this NASA Software Management Guidebook is twofold. First, this document defines the core products and activities required of NASA software projects. It defines life-cycle models and activity-related methods but acknowledges that no single life-cycle model is appropriate for all NASA software projects. It also acknowledges that the appropriate method for accomplishing a required activity depends on characteristics of the software project. Second, this guidebook provides specific guidance to software project managers and team leaders in selecting appropriate life cycles and methods to develop a tailored plan for a software engineering project

IMPLEMENTASI PROGRAM SOFTWARE MATLAB DALAM MEMECAHKAN KASUS FISIKA: DINAMIKA SISTEM MASSA DAN PEGAS (PRINSIP NILAI DAN VEKTOR EIGEN)

Abstract: Matlab Software Program Implementation in Solving Physics Problem: Dynamics Mass System and Spring (Values and Eigen Vectors Principles). Matlab software was applied in resolving physics problems especially in calculation the magnitudo and eigen vector. Physics problem solved in this article was oscillator motion which consists of four mass and four springs. Target of this program application was to determine the spring deviation length, thus the magnitudo as well as the eigen vector could be obtained. The method applied in this study was using the problem magnitudo and eigen vector to calculate spring deviation in Matlab. For the case of oscillatory motion, determination of  each mass of  system and the springs constants have been specified according to the system. Equation of motion for the mass-spring system was deduced by consider each point of masses use the function  , which is called as function of anzats, then derived twice respect to time. By using Mathlab application, the result obtained indicate that by exploiting the eig (eigen) command in Mathlab program, it was showed that running of the Mathlab program would result accurately calculation for value and eigen vector.Keywords: Mathlab, dynamics, oscillator, magnitude and eigen vectorAbstrak: Implementasi Program Software Matlab dalam Memecahkan Kasus Fisika: Dinamika Sistem Massa dan Pegas (Prinsip Nilai dan Vektor Eigen). Software Matlab diaplikasikan dalam pemecahan kasus fisika menggunakan program perhitungan nilai dan vektor eigen. Kasus fisika yang dipecahkan adalah suatu benda yang bergerak secara osilator terdiri dari sistem empat massa dan empat pegas. Tujuan aplikasi program ini adalah untuk menentukan seberapa besar simpangan pegas, sehingga nilai (harga) dan vektor eigen dapat diperoleh. Metode yang dilakukan adalah memanfaatkan persoalan nilai dan vektor eigen untuk menghitung simpangan pegas dalam program Matlab. Pada kasus gerak osilator, penentuan besar masing-masing sistem massa dan konstanta pegas telah ditetapkan sesuai sistem. Persamaan gerak untuk sistem massa dan pegas masing-masing ditinjau setiap titik massa dan fungsi yang digunakan adalah , yang disebut sebagai fungsi anzats, kemudian didiferensialkan dua kali terhadap waktu. Dengan menggunakan aplikasi program Matlab maka hasil yang diperoleh menunjukkan bahwa dengan memanfaatkan perintah eig (eigen) program matlab dapat menunjukkan secara perhitungan akurat hasil running (eksekusi) nilai dan vektor eigen..Kata Kunci:  Matlab, dinamika, osilator, nilai dan vektor eigen

Software Engineering Program: Software Process Improvement Guidebook

The purpose of this document is to provide experience-based guidance in implementing a software process improvement program in any NASA software development or maintenance community. This guidebook details how to define, operate, and implement a working software process improvement program. It describes the concept of the software process improvement program and its basic organizational components. It then describes the structure, organization, and operation of the software process improvement program, illustrating all these concepts with specific NASA examples. The information presented in the document is derived from the experiences of several NASA software organizations, including the SEL, the SEAL, and the SORCE. Their experiences reflect many of the elements of software process improvement within NASA. This guidebook presents lessons learned in a form usable by anyone considering establishing a software process improvement program within his or her own environment. This guidebook attempts to balance general and detailed information. It provides material general enough to be usable by NASA organizations whose characteristics do not directly match those of the sources of the information and models presented herein. It also keeps the ideas sufficiently close to the sources of the practical experiences that have generated the models and information

Basic research for the geodynamics program

Further development of utility program software for analyzing final results of Earth rotation parameter determination from different space geodetic systems was completed. Main simulation experiments were performed. Results and conclusions were compiled. The utilization of range-difference observations in geodynamics is also examined. A method based on the Bayesian philosophy and entropy measure of information is given for the elucidation of time-dependent models of crustal motions as part of a proposed algorithm. The strategy of model discrimination and design of measurements is illustrated in an example for the case of crustal deformation models

Computer Program Software for Determining formal Symmetry of Evolution Eqations

The existence of formal symmetry of an evolution equation is one of the criteria of the complete integrability or solvability of evolution equations, due to Sokolov and Shabat. Many evolution equations such as the soliton (solitary equation) of Korteweg-de Vries (KdV) equation have been found recently to have various kinds of explicit integral or solutions. Such evolution equations admit infinitely many symmetries or admit the recursion operator. In this paper we introduce the definition of the formal symmetry. Formal symmetry is the approximation of the recursion operator, which brings us to a convenient way of characterizing equations admitting infinitely many symmetries. In this research, we developed a program for computing the formal symmetries of evolution equations. To verify the correctness of the program, we apply it to some evolution equations (as testing equations), which have been proved to be formally completely integrable. The program we obtained can compute the formal symmetry of finite arbitrary order (up to order 18) of the testing equations, which verify the correctness of the program

Pelajar UPM bolot hadiah kategori software di program Software & SAS BDA Hackath

CYBERJAYA, 22 Nov – Pelajar Bacelor Sains Komputer dari Fakulti Sains Komputer & Teknologi Maklumat (FSKTM), Universiti Putra Malaysia (UPM), merangkul semua hadiah bagi kategori software di program ‘Software & SAS BDA Hackathon 2015.

EFFECT OF FIELD WORK PRACTICES PERSONAL INFORMATION AND READINESS TO WORK STUDENTS PROGRAM SOFTWARE ENGINEERING ENGINEERING SKILLS CLASS XII ACADEMIC YEAR 2012/2013 IN SMK MUHAMMADIYAH 1 BANTUL

This research aimed to determine the effect of job training and job information both individually and collectively toward job readiness skills program students Engineering Software Engineering class XII at SMK Muhammadiyah 1 Bantul. This research is a kind of ex post facto research using a quantitative approach. The subjects were students of class XII RPL skills program of the school year 2012/2013. Collecting data using questionnaires. Evidence of the validity of instruments tend to be done by expert judgment and empirically using Pearson Product Moment Correlation. Evidence of reliability was calculated using statistical software Microsoft Office Excel 2007. Analysis using descriptive statistical techniques and statistical parametric regression testing technique with multiple and simple regression using a 5% significance level. Research results indicate that (1) There is a significant effect of the job training students with job readiness regression line equation Y = 17 460 + 0.545X1, with a correlation coefficient (rX1Y) of 0238 and the effective contribution given 5.9%. (2) There is a significant influence on job readiness job information with the regression line equation Y = 49 487 + 0.291X2, with a correlation coefficient (rx2y) of 0374 and the effective contribution given 14.3%. (3) There is a significant effect of job training and job information for job readiness together with the regression line equation Y = 0.296 + 0.569X1 0298 + X2, with a correlation coefficient (RX1X2Y) by 0449 and double the effective contribution given together -at 20.2%, while the remaining 79.8% is explained by other variables not examined. Keywords: Field Work Practices, Information Work, work readines

Calling the lp_solve Linear Program Software from R, S-PLUS and Excel

We present a link that allows R, S-PLUS and Excel to call the functions in the lp_solve system. lp_solve is free software (licensed under the GNU Lesser GPL) that solves linear and mixed integer linear programs of moderate size (on the order of 10,000 variables and 50,000 constraints). R does not include this ability (though two add-on packages offer linear programs without integer variables), while S-PLUS users need to pay extra for the NuOPT library in order to solve these problems. Our link manages the interface between these statistical packages and lp_solve. Excel has a built-in add-in named Solver that is capable of solving mixed integer programs, but only with fewer than 200 variables. This link allows Excel users to handle substantially larger problems at no extra cost. While our primary concern has been the Windows operating system, the package has been tested on some Unix-type systems as well