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Authors: L. S. Pontri︠a︡gin (1962) - The book is designed to serve as a first course in differential equations. Importance is given to the linear equation with constant coefficients; stability theory; use of matrices and linear algebra; and the introduction to the Lyapunov theory. Engineering problems such as the Watt regulator for a steam engine and the vacuum-tube circuit are also presented.
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Authors: Ralph Tyrell Rockafellar (1970) - Available for the first time in paperback, R. Tyrrell Rockafellar's classic study presents readers with a coherent branch of nonlinear mathematical analysis that is especially suited to the study of optimization problems. Rockafellar's theory differs from classical analysis in that differentiability assumptions are replaced by convexity assumptions.
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Authors: Ivan Stephen Sokolnikoff (1958) - Filled with helpful examples, tables, and illustrations, this edition of Practical Electrical Wiring gives you recommended shortcuts, solutions to problems, and safety "musts" to help you do every job right the first time, with complete confidence.
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Authors: Đỗ Đình Thanh (2007) - Các phương pháp toán học dùng trong vật lý học hiện đại rất phong phú gồm một khối lượng lớn các phần như hàm thực, hàm biến phức, phương trình vi phân, các phép biến đổi tích phân, đại số tuyến tính, … Phương pháp Toán Lí gồm 8 chương. Nội dung cuốn sách trình bày về trường vô hướng và trường vectơ, trường tenxơ, phương trình sóng một chiều, phương trình dao động của màng, phương trình laplaxơ, các phương pháp tính gần đúng vi tích phân, các phương pháp gần đúng trong cơ học lượng tử.
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Authors: V. S. Vladimirov (1971) - -
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Authors: Laurence A. Wolsey (1999) - This book provides an excellent introduction and survey of traditional fields of combinatorial optimization ... It is indeed one of the best and most complete texts on combinatorial optimization ... available. [And] with more than 700 entries, [it] has quite an exhaustive reference list.""--Optima""A unifying approach to optimization problems is to formulate them like linear programming problems, while restricting some or all of the variables to the integers
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Authors: L. S. Pontryagin (1962) - The most important and interesting applications of ordinary differential equations to engineering are found in the theory of oscillations and in the theory of automatic control. These applications were chosen to serve as guides in the selection of material. Since oscillation theory and automatic control theory without doubt also play a very important role in the development of our contemporary technical culture, my approach to the selection of material for the lecture course is, if not the only possible one, in any case a reasonable one.
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Authors: Allan Gut (2013) - The book starts with the basic tools, and goes on to cover a number of subjects in detail, including chapters on inequalities, characteristic functions and convergence. This is followed by a thorough treatment of the three main subjects in probability theory: the law of large numbers, the central limit theorem, and the law of the iterated logarithm. After a discussion of generalizations and extensions, the book concludes with an extensive chapter on martingales. The new edition is comprehensively updated, including some new material as well as around a dozen new references
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Authors: Đỗ Văn Lưu (2000) - Trình bày các kiến thức về tập lồi và nón lồi trong không gian lồi địa phương và trong không gian hữu chiều. Nghiên cứu hàm lồi, các phép toán về hàm lồi, trình bày các định lý tách cơ bản, các tính chất của hàm liên hợp
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Authors: M. Beckmann (1972) - Girsanov's book fills this gap. It contains a systematic exposition of the general principles underlying the derivation of necessary and sufficient conditions for an extremum, in a wide variety of problems. Numerous applications are given to specific extremal problems. The main material is preceded by an introductory section in which all prerequisites from functional analysis are presented.
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Authors: A.N. Shiryaev (1996) - This book contains a systematic treatment of probability from the ground up, starting with intuitive ideas and gradually developing more sophisticated subjects, such as random walks, martingales, Markov chains, ergodic theory, weak convergence of probability measures, stationary stochastic processes, and the Kalman-Bucy filter. Many examples are discussed in detail, and there are a large number of exercises. The book is accessible to advanced undergraduates and can be used as a text for self-study
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Authors: - (1978) - -
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Authors: - (1977) - This book is addressed to researchers and students of the neuropsychology of language, whether they call themselves psychologists, neuropsychologists, neurologists, or linguists.
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Authors: Larsen-Freeman, Diane (1991) - This book provides a synthesis of empirical findings on second and foreign language learning by children and adults, emphasising the design and execution of appropriate research.
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Authors: Daly, Richard T (1974) - -
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Authors: Partee, Barbara Hall (1990) - The section on algebra is presented with an emphasis on lattices as well as Boolean and Heyting algebras. Background for recent research in natural language semantics includes sections on lambda-abstraction and generalized quantifiers. Chapters on automata theory and formal languages contain a discussion of languages between context-free and context-sensitive and form the background for much current work in syntactic theory and computational linguistics. The many exercises not only reinforce basic skills but offer an entry to linguistic applications of mathematical concepts.
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Authors: Yu-Jin Zhang (2023) - This textbook offers advanced content on computer vision (basic content can be found in its prerequisite textbook, "Computer Vision: Principles, Algorithms and Applications", including the basic principles, typical methods and practical techniques. It is intended for graduate courses on related topics, e.g. Computer Vision, 3-D Computer Vision, Graphics, Artificial Intelligence, etc
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Authors: Taweh Beysolow (2018) - After reading this book, you will have the skills to apply these concepts in your own professional environment. What You Will Learn Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim Manipulate and preprocess raw text data in formats such as .txt and .pdf Strengthen your skills in data science by learning both the theory and the application of various algorithms Who This Book Is For You should be at least a beginner in ML to get the most out of this text, but you needn't feel that you need be an expert to understand the content
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Authors: Richard Szeliski (2022) - Computer Vision: Algorithms and Applications explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos. More than just a source of "recipes" this exceptionally authoritative and comprehensive textbook/reference takes a scientific approach to the formulation of computer vision problems.
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Authors: Akshay Kulkarni (2021) - This book teaches you to efficiently use a wide range of natural language processing (NLP) packages to: implement text classification, identify parts of speech, utilize topic modeling, text summarization, sentiment analysis, information retrieval, and many more applications of NLP. The book begins with text data collection, web scraping, and the different types of data sources. It explains how to clean and pre-process text data, and offers ways to analyze data with advanced algorithms
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