جیہڑا پنڈ دکھاں دی چا گیا
اوہ بندا مرد سدا گیا
دنیا توں میں مردا ناں
ہجر وچھوڑا کھا گیا
اوہو پکا عاشق اے
جیہڑا توڑ نبھا گیا
جیہڑا پڑھے درود نبیؐ
اوہو رتبے پا گیا
اوہ بھلا نہ بھلا اے
جو شامیں گھر آگیا
جو دل خالص مومن اے
اوتھے رب سما گیا
Women are confronted with a lot of problems. In different parts of the world, some social and cultural attitudes still discourage the women from getting their established and assigned rights. The factors which are responsible for this phenomenon include societal norms, orthodoxy and some social customs contrary to islamic instructions. For instance, discrimination against women could be in terms of inadequate nutrition, denial or limited access to education, health and property rights, child labor, domestic violence and forceful marriage. So far as the Islamic instructions are concerned, these are derived from Quran and Sunnah and clearly describe women’s rights but, due to some socio-religious customs and undesirable behaviors the societal status and role of women have been badly affected. An international document, the convention on the elimination of all forms of discrimination against women also lists the rights of all girls and women. CEDAW recommends that all discriminations against girls and women must be ended. In this paper, the terms have been analyzed in the context of islamic instructions and teachings, in order to provide academic material for bringing positive change in the society.
The field of computer science has greatly benefitted from the advances in combina- torial algorithms in the last few decades. This is because the advent of high speed computers has made it possible to generate lists of combinatorial objects in a practi- cal amount of time. In areas such as genome science and data mining the problems are often vaguely defined, and researchers have to look for meaningful information in huge datasets. In this thesis, efficient generation algorithms for subgraphs such as bicliques and paths in cliques are developed. Cliques and bicliques are used to model various real-world problems encountered in bio-informatics, data mining and networks. We consider two variations of bicliques: pseudo-bicliques and c-isolated bicliques. Pseudo- bicliques relax the rigid connectivity requirement of bicliques to cater for missing and noisy data. On the other hand, the c-isolated bicliques enforce a restriction on the external connectivity of the vertices in a biclique to model cohesive communities. This thesis presents an algorithm based on reverse search to list all pseudo-bicliques in a graph G. The algorithm takes linear time on average to generate each pseudo- biclique. On the other hand, our generation algorithm for c-isolated bicliques exploit underlying properties of an isolated biclique to trim the input graph. Furthermore, the algorithm deploys the vertex cover enumeration algorithm based on fixed point tractability (FTP) and lists all isolated bicliques in linear time, in the case where c is constant. The performance of the proposed algorithms is evaluated on random graphs and real-world problems. The results are quite promising and confirm our theoretical findings. In this research work, we also explore another combinatorial object called a clique. A constant amortized time algorithm is proposed to generate all spanning paths and all paths in a clique in minimal change order (an ordering in which successive elements differ in a small way)