الباب الرابع: شعر نازك الملائكة وبروین شاکر (دراسة مقارنة)

منهج المفتي عبد الله محدث في كتابه فتاوى أهل حديث

Issuing Fatwa is much important in the field of Islamic Theology. At least one of the contemporary famous three methodologies in the field of Fatwa for the mufti to adopt is necessary; as it leads mufti to extract ruling from the text of Holy Qur᾽ān or Sunnah of the Holy Prophet (ﷺ) and from what the Muslim Jurists have agreed upon. A thorough study of the book Fatāwā Ahl Ḥadīth has been conducted in this study in order to highlight the characteristics and main features which distinguish the method of the author, ‘Abdullāh Muḥaddith Rōpaṟi, a prominent scholar of his time in the main stream of Ahl e Ḥadīth, from other scholars of his time in issuing fatwa. The study approves that the author has adopted the depth has and (صلى الله عليه وسلم) Prophet Holy the of companions the of method understanding of the primary sources i. E. Holy Book Qur᾽ān, Sunnah and Ijmā‘, and secondary sources i. E. Qiyās and custom and vice versa and he has given best solutions to the matters posed to him at his time on the basis of textual and rational evidences which ultimately influenced people and made them to accept the author as an authority in his field.. His prominent work also tells us that he has expertise in the fields of Islamic literature, Islamic Jurisprudence, Ḥadīth and Tafsīr. Therefore, his book regarding fatwa has got admired by the scholars of the Subcontinent of all the main streams. Also in the court of Law in the country the book has been considered as a referencing book.

Regression Based Subdivision Schemes for Noisy Data

ComputerAidedGeometricDesign(CAGD)isabranchofcomputationalmathematics. It deals with the mathematical description of shapes for use in different fields. Subdivision is a basic tool to describe smooth curves and surfaces in computer aided geometric design. Since, no single subdivision scheme can be adequate for every situation, so there is always a space to present new subdivision schemes. Initially, subdivision schemes were not suitable for noisy data. So the subdivision schemes based on statistical methods are needed for the refinement of noisy data with outliers. In this thesis, the generalized algorithms for univariate, bivariate stationary and non-stationary subdivision schemes for noisy data with outliers based on regression methods are presented. The comparison with existing subdivision schemes is also presented. The subdivision schemes based on probability distribution by using the relation between Logistic regression and probability distribution are introduced. The schemes generated by the probability distribution have very good properties comparative to the existing subdivision schemes. A new type of analysis of subdivision schemes is presented by using probability distribution theory. The analysis of the families of high arity parametric stationary and non-stationary subdivision schemes is also presented in this thesis. Lane-Riesenfeld algorithm is used in different variant for the generation of binary subdivision schemes. The generalized Lane-Riesenfeld algorithms for the generation of high arity parametric stationary and non-stationary subdivision schemes are also presented.