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در د کو در د نہیں میں نے دوا مان لیا

درد کو درد نہیں میں نے دوا مان لیا
زہر کو زہر نہیں میں نے شفا مان لیا

تو نے جو مجھ کو محبت میں سزائیں دی ہیں
میں نے ایک ایک سزا کو بھی جزا مان لیا

کفر اسلام میں انسان کو سجدہ کرنا
مذہبِ عشق نے اس کو بھی بجا مان لیا

ہے یہ کیا مجھ کو بتائیں گے فتاویٰ والے؟
سنتے ہیں قیس نے لیلیٰ کو خدا مان لیا

تیرے ہر درد کو سمجھا ہے عنایت تیری
تیرے ہر زخم کو تائب نے عطا مان لیا

سیرت النبی ﷺ میں احتسابی عمل کی مثالیں: وفاقی محتسب پاکستان کے فرائض کا اختصاصی مطالعہ

In any society, the administration has the status of a pillar, and its good or bad move directly impacts society. There are institutions to compensate public complaints on government initiatives in many countries of the world that keep check on government administrations. For this purpose "Federal Ombudsman" was established in Pakistan. The main responsibilities of this institution include the execution to enjoin the right and forbid the wrong (Amr bil Ma’rūf wal Nahi ‘An al Munkar), monitoring government employees in administrative matters, hearing the complaints of the public against organizations and preventing them from violating individual rights. In this article, it has been reviewed that how we can seek guidance from the Sīrah of the Prophet (P.B.U.H) is in this matter, to evaluate the present system of "Federal Ombudsman". In addition, the main responsibilities of the "Federal Ombudsman" were discussed in the article. In conclusion recommendations have been made for further improvement.

A Pplications Pplication of E Volutionary C Omputing Ing T Echniques to N on -L Inear S Ystems

This dissertation presents an application of heuristic computational intelligence for the solution of non-linear systems in engineering. The design scheme is comprised of mathematical model based on feed-forward artificial neural network (ANN). The linear combination of these networks defines the unsupervised error for the system. The most suitable weights to minimize the error are obtained by training the networks employing stochastic solvers. These techniques are based on nature inspired heuristics including Pattern Search (PS), Simulated Annealing (SA), Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) algorithms. Rapid local convergent algorithms such as Interior Point (IP) and Active Set (AS) methods are hybridized with these global search techniques. To validate the scheme, a number of linear and non-linear initial and boundary value problems have been solved. The design methodology is also applied to a number of problems having special applications in engineering including, singular systems based on non-linear Lane Emden Fowler equation, non-linear van der Pol oscillator with stiff and non-stiff conditions and systems with high nonlinearity governed by Painlevé transcendent I. In addition to that, the scheme also provides an alternate solution for biomedical application like model of heart for low, high and normal blood pressure. It is found that the proposed results are in good agreement with available exact solution and numerical solvers like Adomian decomposition method, Homotopy Perturbation method, Homotopy analysis method and Optimal Homotopy asymptotic method, ODE15i and Runge Kutta method. The comparative studies of stochastic solvers are carried out under a stringent criterion of accuracy, effectiveness, reliability and robustness of the results based on Monte Carlo simulation and its analysis. The solvers based on SA, PS, GA, PSO, GA and PSO hybrid with IP or AS algorithms are used for optimization of neural network. It is found that the GA-IP, GA-AS, PSO-IP and PSO-AS algorithms are the best stochastic optimizers. The other perk up of the scheme have in its simplicity of the concept, ease in use, efficiency and unlike other numerical techniques, it provides the solution on continuous inputs with finite interval instead of predefine discrete grid of inputs.
Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

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