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Financial Econometrics, Mathematics and Statistics: Theory, Method and Application
Financial Econometrics, Mathematics and Statistics: Theory, Method and Application

This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research. Financial Econometrics, Mathematics, and Statistics introduces tools and methods important for both finance and accounting that assist with asset...

Higher Categories and Homotopical Algebra (Cambridge Studies in Advanced Mathematics)
Higher Categories and Homotopical Algebra (Cambridge Studies in Advanced Mathematics)
This book provides an introduction to modern homotopy theory through the lens of higher categories after Joyal and Lurie, giving access to methods used at the forefront of research in algebraic topology and algebraic geometry in the twenty-first century. The text starts from scratch - revisiting results from classical homotopy theory such as...
Recent Trends in Algebraic Combinatorics (Association for Women in Mathematics Series)
Recent Trends in Algebraic Combinatorics (Association for Women in Mathematics Series)
This edited volume features a curated selection of research in algebraic combinatorics that explores the boundaries of current knowledge in the field. Focusing on topics experiencing broad interest and rapid growth, invited contributors offer survey articles on representation theory, symmetric functions, invariant theory, and...
Gaussian Harmonic Analysis (Springer Monographs in Mathematics)
Gaussian Harmonic Analysis (Springer Monographs in Mathematics)

Authored by a ranking authority in Gaussian harmonic analysis, this book embodies a state-of-the-art entrée at the intersection of two important fields of research: harmonic analysis and  probability. The book is intended for a very diverse audience, from graduate students all the way to researchers working in a...

Mathematical Modelling, Optimization, Analytic and Numerical Solutions (Industrial and Applied Mathematics)
Mathematical Modelling, Optimization, Analytic and Numerical Solutions (Industrial and Applied Mathematics)

This book discusses a variety of topics related to industrial and applied mathematics, focusing on wavelet theory, sampling theorems, inverse problems and their applications, partial differential equations as a model of real-world problems, computational linguistics, mathematical models and methods for meteorology, earth systems,...

Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition
Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

  • Build a strong foundation in neural networks and deep learning with Python libraries
  • Explore advanced deep learning techniques and their applications...
Interactions Between Computational Intelligence and Mathematics Part 2 (Studies in Computational Intelligence)
Interactions Between Computational Intelligence and Mathematics Part 2 (Studies in Computational Intelligence)

This book presents recent research in the field of interaction between computational intelligence and mathematics. In the current technological age, we face the challenges of tackling very complex problems – in the usual sense, but also in the mathematical and theoretical computer science sense. However, even the most...

Neural Network Programming with TensorFlow: Unleash the power of TensorFlow to train efficient neural networks
Neural Network Programming with TensorFlow: Unleash the power of TensorFlow to train efficient neural networks

Neural Networks and their implementation decoded with TensorFlow

About This Book

  • Develop a strong background in neural network programming from scratch, using the popular Tensorflow library.
  • Use Tensorflow to implement different kinds of neural networks – from simple...
Super-Recursive Algorithms (Monographs in Computer Science)
Super-Recursive Algorithms (Monographs in Computer Science)
This book introduces the new realm of superrecursive algorithms and the development of mathematical models for them. Although many still believe that only recursive algorithms exist and that only some of them are realizable, there are many situations in which people actually work with superrecursive algorithms....
Linear Algebra and Geometry
Linear Algebra and Geometry

This book is the result of a series of lectures on linear algebra and the geometry of multidimensional spaces given in the 1950s through 1970s by Igor R. Shafarevich at the Faculty of Mechanics and Mathematics of Moscow State University.

Notes for some of these lectures were preserved in the faculty library, and these were used...
Knapsack Problems: Algorithms and Computer Implementations (Wiley Series in Discrete Mathematics and Optimization)
Knapsack Problems: Algorithms and Computer Implementations (Wiley Series in Discrete Mathematics and Optimization)
Here is a state of art examination on exact and approximate algorithms for a number of important NP-hard problems in the field of integer linear programming, which the authors refer to as ``knapsack.'' Includes not only the classical knapsack problems such as binary, bounded, unbounded or binary multiple, but also less familiar problems...
Automatic Quantum Computer Programming: A Genetic Programming Approach
Automatic Quantum Computer Programming: A Genetic Programming Approach
This is a book about the frontiers of computer science that have recently
been opened by work in quantum mechanics, but it is also a book
about the use of recently developed automatic programming technologies
to explore those frontiers. The automatic programming technologies
themselves issue from another interdisciplinary
...
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