Learn IT - Books tags calculus

Applied Stochastic Differential Equations (Institute of Mathematical Statistics Textbooks)

Cambridge University Press, 2019

Stochastic differential equations are differential equations whose solutions are stochastic processes. They exhibit appealing mathematical properties that are useful in modeling uncertainties and noisy phenomena in many disciplines. This book is motivated by applications of stochastic differential equations in target tracking and medical...

Higher Categories and Homotopical Algebra (Cambridge Studies in Advanced Mathematics)

Cambridge University Press, 2019

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...

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

Packt Publishing, 2019

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...

Einstein in Matrix Form: Exact Derivation of the Theory of Special and General Relativity without Tensors

Springer, 2013

This book is an introduction to the theories of Special and General Relativity. The target audience are physicists, engineers and applied scientists who are looking for an understandable introduction to the topic - without too much new mathematics. The fundamental equations of Einstein's theory of Special and General Relativity are...

Discrete Mathematics With Algorithms

John Wiley & Sons, 1988

This first-year course in discrete mathematics requires no calculus or computer programming experience. The approach stresses finding efficient algorithms, rather than existential results. Provides an introduction to constructing proofs (especially by induction), and an introduction to algorithmic problem-solving. All algorithms are presented in...

The Finite Element Method: Theory, Implementation, and Applications (Texts in Computational Science and Engineering)

Springer, 2013

This book gives an introduction to the finite element method as a general computational method for solving partial differential equations approximately. Our approach is mathematical in nature with a strong focus on the underlying mathematical principles, such as approximation properties of piecewise polynomial spaces, and variational...

A Transition to Advanced Mathematics: A Survey Course

Oxford University Press, 2009

A Transition to Advanced Mathematics: A Survey Course promotes the goals of a “transition” course in mathematics, helping to lead students from courses in the calculus sequence to theoretical upper-level mathematics courses. The text simultaneously promotes the goals of a “survey” course, describing the intriguing questions...

Linear Algebra: A Geometric Approach

W. H. Freeman, 2010

One of the most enticing aspects of mathematics, we have found, is the interplay of ideas from seemingly disparate disciplines of the subject. Linear algebra provides a beautiful illustration of this, in that it is by nature both algebraic and geometric. ...

Guide to Medical Image Analysis: Methods and Algorithms (Advances in Computer Vision and Pattern Recognition)

Springer, 2012

This book presents a comprehensive overview of medical image analysis. Practical in approach, the text is uniquely structured by potential applications. Features: presents learning objectives, exercises and concluding remarks in each chapter, in addition to a glossary of abbreviations; describes a range of common imaging techniques,...

Mathematics of Discrete Structures for Computer Science

Springer, 2012

Mathematics plays a key role in computer science, some researchers would consider computers as nothing but the physical embodiment of mathematical systems. And whether you are designing a digital circuit, a computer program or a new programming language, you need mathematics to be able to reason about the design -- its correctness,...

The Mathematics of Derivatives Securities with Applications in MATLAB

John Wiley & Sons, 2012

Quantitative Finance is expanding rapidly. One of the aspects ofthe recent financial crisis is that, given the complexity offinancial products, the demand for people with high numeracy skillsis likely to grow and this means more recognition will be given toQuantitative Finance in existing and new course structuresworldwide. Evidence has...

Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow

Packt Publishing, 2018

A hands-on guide enriched with examples to master deep reinforcement learning algorithms with Python

Key Features

Enter the world of artificial intelligence using the power of Python

An example-rich guide to master various RL and DRL algorithms

Explore...

Result Page: 34 33 32 31 30 29 28 27 26 25