Introduction to Aircraft Flight Mechanics


Book Description

Based on a 15-year successful approach to teaching aircraft flight mechanics at the US Air Force Academy, this text explains the concepts and derivations of equations for aircraft flight mechanics. It covers aircraft performance, static stability, aircraft dynamics stability and feedback control.




UGC NET Commerce [Question Bank ] Unit Wise / Topic Wise 4000 + [MCQ] Question Answer As Per New Updated Syllabus


Book Description

UGC NET Commerce Unit Wise 4000+ Practice Question Answer As Per the New Updated Syllabus MCQs Highlights - 1. Complete Units Cover Include All 10 Units Question Answer 2. 400+ Practice Question Answer in Each Unit 3. Total 4000+ Practice Question Answer 4. Try to take all topics MCQs 5. Include Oriented & Most Expected Question Answer 6. As Per the New Updated Syllabus For More Details Call 7310762592,7078549303




Data Science and Machine Learning


Book Description

Focuses on mathematical understanding Presentation is self-contained, accessible, and comprehensive Full color throughout Extensive list of exercises and worked-out examples Many concrete algorithms with actual code




Aircraft Engineering Principles


Book Description

Aircraft Engineering Principles is the essential text for anyone studying for licensed A&P or Aircraft Maintenance Engineer status. The book is written to meet the requirements of JAR-66/ECAR-66, the Joint Aviation Requirement (to be replaced by European Civil Aviation Regulation) for all aircraft engineers within Europe, which is also being continuously harmonised with Federal Aviation Administration requirements in the USA. The book covers modules 1, 2, 3, 4 and 8 of JAR-66/ECAR-66 in full and to a depth appropriate for Aircraft Maintenance Certifying Technicians, and will also be a valuable reference for those taking ab initio programmes in JAR-147/ECAR-147 and FAR-147. In addition, the necessary mathematics, aerodynamics and electrical principles have been included to meet the requirements of introductory Aerospace Engineering courses. Numerous written and multiple choice questions are provided at the end of each chapter, to aid learning.




Engineering Metrology and Measurements


Book Description

Engineering Metrology and Measurements is a textbook designed for students of mechanical, production and allied disciplines to facilitate learning of various shop-floor measurement techniques and also understand the basics of mechanical measurements.




Engineering Thermodynamics


Book Description

Mechanical Engineering




UGC NET Economics in English [Question Bank ] Unit Wise / Topic Wise 5000 + [MCQ] Question Answer As Per New Updated Syllabus


Book Description

UGC NET Economics Unit Wise 5000+ Practice Question Answer As Per New Updated Syllabus Second Edition MCQs Highlights - Complete Units Cover Include All 10 Units Question Answer 500 Practice Question Answer Each Unit Total 5000+ Practice Question Answer Try to take all topics MCQ Include Oriented & Most Expected Question Answer As Per the New Updated Syllabus For More Details Call /What's App -7310762592,7078549303




UGC NET Law [Question Bank ] Unit Wise / Topic Wise 4000 + [MCQ] Question Answer As Per New Updated Syllabus 2022


Book Description

UGC NET LAW Unit Wise 4000+ Practice Question Answer As Per New Updated Syllabus MCQs Highlights - 1. Complete Units Cover Include All 10 Units Question Answer 2. 400 Practice Question Answer Each Unit 3. Total 4000 + Practice Question Answer 4. Try to take all topics MCQ 5. Include Oriented & Most Expected Question Answer 6. As Per the New Updated Syllabus Check Sample Pdf Click On Below Link & Download Pdf For Free Sample Pdf - https://drive.google.com/file/d/1B3-iTU87QodaVJCFqpPb0_xxG8EUp1Y7/view?usp=sharing For More Details Call 7310762592,7078549303




Pattern Recognition and Machine Learning


Book Description

This is the first textbook on pattern recognition to present the Bayesian viewpoint. The book presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not feasible. It uses graphical models to describe probability distributions when no other books apply graphical models to machine learning. No previous knowledge of pattern recognition or machine learning concepts is assumed. Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.