لیب میں بیٹھی اک کیمسٹ لڑکی۱؎
لیب میں بیٹھی گم صم لڑکی
جانے کیا کچھ سوچ رہی ہو
کب سے ان روشن آنکھوں سے
اک بوتل کو گھور رہی ہو
شیشے کی خالی بوتل میں
تیری آنکھ کا عکس پڑے گا
لیب تو ساری روشن ہو گی
۱؎ بلال اعظم کی نظم ’’چاندی‘‘ سے متاثر ہوکر
روشن آنکھوں والی لڑکی
تیری آنکھ کے نور سے ہر شے
لیب میں بکھری چمک اُٹھے گی
لیب کی ہر اک بوتل بوتل
روشن روشن لگے گی جب تو
روشن آنکھوں والی لڑکی
تیری آنکھیں سب دیکھیں گے
تم سے گزارش ہے اک میری
خالی بوتل کو مت گھورو
This research is based on the correction of a common mistake that is used in many of the books and scientific field. It has been spread among many of researchers these days that the Prophet Mohammad’s (SAW) Companions stripped the Holy Qur’an off the dots and diacritics to cover the aspects of the Holy Qur’anic readings. In the introduction, the researcher talks about the importance of the topic and the reason why it has been chosen. In the first chapter covers the meaning of the terms that the research is based on such as: dots, inserting dots, diacritics and stripping. The second chapter, the researcher mentions the implications of stripping and clarifies its meaning and its effect on the understanding of the researchers at the present time. In the third chapter, the researcher talks about the history of dots, where he mentions and analyzes a number of old inscriptions that are considered as the basis from which Arabic language was developed. In conclusion, the researcher refers to the most important findings and recommendations.
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.