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Matrix Wiener-Hopf Analysis of Some Scattering Problems of Acoustic Waves

Thesis Info

Author

Mann Amer Bilal

Department

Deptt. of Mathematics, QAU.

Program

PhD

Institute

Quaid-i-Azam University

Institute Type

Public

City

Islamabad

Province

Islamabad

Country

Pakistan

Thesis Completing Year

2010

Thesis Completion Status

Completed

Page

239

Subject

Mathematics

Language

English

Other

Call No: DISS/Ph.D MAT/795

Added

2021-02-17 19:49:13

Modified

2023-01-06 19:20:37

ARI ID

1676716856509

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ملّا حاجی عبدالرزاق خان

ملا حاجی عبدالرزاق
ایک روشن خیال روشن ضمیر افغانی مصلح عالم کی وفات

اسلامی دنیا میں آج جس چیز کا سب سے زیادہ رونا ہے، وہ ایسے علمائے کاملین کا وجود ہے، جو دین و دنیا دونوں کے علوم و ضروریات پر پوری نظر رکھتے ہوں جو علوم مذہبی اور علوم عصری دونوں کو یکجا تطبیق دینے کے خواہشمند ہوں، جو مذہب اور تمدن کو باہم منطبق کرسکتے ہوں، جو زمانہ حال کی ضروریات کے مطابق احکام مذہبی پر نظر رکھ کر ملک و قوم کی رہبری کا فرض انجام دے سکتے ہوں، جو مساجد کی امامت کے ساتھ صفوف جنگ بھی درست کرسکتے ہوں، جو رموز علمی کے پہلو بہ پہلو نکات سیاسی کو بھی سمجھ سکتے ہوں، ایسے علمائے مصلحین کا وجود کچھ نہ کچھ مصر و ہندوستان و ترکی و روس و تونس میں تو معلوم تھا، مگر افغانستان کی نسبت کسی ایسی مفید مقدس ہستی کا علم نہ تھا۔ امان، افغان کابل مورخہ ۲۴؍ رمضان المبارک ۱۳۴۳؁ھ سے ابھی اس کا حال معلوم ہوا اور ساتھ ہی وفات کی خبر پڑھی۔
ملا حاجی عبدالرزاق خان افغانستان کے امام وقت اور مشہور مدرس و عالم تھے، ہندوستان میں آخری تعلیم پائی تھی، ان کا سلسلۂ فیض بڑا وسیع تھا، افغانستان کے تمام نوجوان علماء ان کے شاگرد یا شاگرد کے برابر ہیں، ان کا تعلق ایک قدیم علمی خاندان سے تھا، مروجہ اسلامی و مشرقی علوم کے حصول کے بعد وہ ۴۰ سالوں سے درس و تدریس میں مشغول تھے اور آخر وقت تک یہی شغل جاری رہا، اگرچہ وہ تمام فنون میں درس دیا کرتے تھے، لیکن ریاضی، ہئیت اور حدیث میں ان کو کمال تھا، وہ اسلامی تاریخ، جغرافیہ و اخلاقیات میں بھی واقفیت نام رکھتے تھے۔ان علمی مشاغل کے باوجود موجودہ سیاست سے بھی کافی دلچسپی رکھتے تھے اور...

سکھ دھرم پر اسلامی تعلیمات کے اثرات کا علمی جائزہ

Sikhism is one of the Non Semitic religions founded by Guru Nanak, belonged to a Hindu family and was born in 1469 A.D. This religion is popular in India and Pakistan. Some inhuman customs in Hinduism like caste system, the custom of Satty (burning out of wife with the dead body of husband), monopoly of Brāchman etc. Compelled him to introduce a new religion based on equality and justice. As identified from the life style of the founder of Sikhism and his followers, he is deeply impressed with Islamic teachings. Their habits and customs reflect an Islamic picture. Guru Nanak was a monotheist and was against the worship of idols. He believed in equality and acknowledged the prophet Muhammad (S.A.W), as a role model for human beings. This article is aiming to explain the teachings of Sikhism derived from Islam.

Feature Selection Using Rough Set Based Heuristic Dependency Calculation

The amount of data to be processed is significantly increasing day by day. The increase in data size is not only due to more number of records but also due to substantial number of attributes added to space. The phenomenon is leading to the dilemma called curse of dimensionality i.e. datasets with exponential number of attributes. The ideal approach is to reduce the number of dimensions such that resulted reduced set contains the same information as present in the entire set of attributes. There are various approaches to perform this task of dimensionality reduction. Recently, rough set-based approaches, which use attribute dependency to carry out feature selection, have been prominent. However, this dependency measure requires the calculation of the positive region, which is a computationally expensive task. In this research, we have proposed a new concept called the “Dependency Classes”, which calculates the attribute dependency without using the positive region. Dependency classes define the change in attribute dependency as we move from one record to another. By avoiding the positive region, they can be an ideal replacement for the conventional dependency measure in feature selection algorithms, especially for large datasets. A comparison framework was devised to measure the efficiency and effectiveness of the proposed measure. Experiments on various publically available datasets show that the proposed approaches provide significant computational performance with same accuracy as provided by conventional approach. We have also recommended seven feature selection algorithms using this measure. The experimental results have shown that algorithms using the classes were more effective than their counterparts using the positive region-based approach in terms of accuracy, execution time and required runtime memory.