Learn IT - Books tags algebra

Algorithmic Information Theory: Mathematics of Digital Information Processing (Signals and Communication Technology)

Springer, 2006

This book deals with information processing; so it is far from being a book on information theory (which would be built on description and estimation). The reader will be shown the horse, but not the saddle. At any rate, at the very beginning, there was a series of lectures on “Information theory, through the looking-glass of an...

An Introduction to Numerical Analysis

John Wiley & Sons, 1989

This introduction to numerical analysis was written for students in mathematics, the physical sciences, and engineering, at the upper undergraduate to beginning graduate level. Prerequisites for using the text are elementary calculus, linear algebra, and an introduction to differential equations. The student's level of...

Python Data Analysis

Packt Publishing, 2014

Learn how to apply powerful data analysis techniques with popular open source Python modules

About This Book

Learn how to find, manipulate, and analyze data using Python

Perform advanced, high performance linear algebra and mathematical calculations with clean and efficient Python...

Foundational and Applied Statistics for Biologists Using R

CRC Press, 2013

Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students...

Fundamental Mathematical Structures of Quantum Theory: Spectral Theory, Foundational Issues, Symmetries, Algebraic Formulation

Springer, 2019

This textbook presents in a concise and self-contained way the advanced fundamental mathematical structures in quantum theory. It is based on lectures prepared for a 6 months course for MSc students. The reader is introduced to the beautiful interconnection between logic, lattice theory, general probability theory, and general...

An Introduction to Quantum Computing

Oxford University Press, 2006

This concise, accessible text provides a thorough introduction to quantum computing - an exciting emergent field at the interface of the computer, engineering, mathematical and physical sciences. Aimed at advanced undergraduate and beginning graduate students in these disciplines, the text is technically detailed and is clearly illustrated...

Mathematics for Business, Science, and Technology

Orchard Publications, 2007

This text is written for

a. high school graduates preparing to take business or science courses at community colleges or universities

b. working professionals who feel that they need a math review from the very beginning

c. young students and working professionals who are enrolled in continued education...

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...

Algorithmic Number Theory, Vol. 1: Efficient Algorithms (Foundations of Computing)

MIT Press, 1996

Algorithmic Number Theory provides a thorough introduction to the design and analysis of algorithms for problems from the theory of numbers. Although not an elementary textbook, it includes over 300 exercises with suggested solutions. Every theorem not proved in the text or left as an exercise has a reference in the notes section...

Higher Engineering Mathematics, Fifth Edition

Newnes, 2007

Includes: * 1,000 Worked Examples * 1,750 Further Problems * 19 Assignments

John Bird's approach, based on numerous worked examples and interactive problems, is ideal for students from a wide range of academic backgrounds, and can be worked through at the student's own pace. Basic mathematical theories are explained in the simplest of...

Classical Mechanics with Mathematica® (Modeling and Simulation in Science, Engineering and Technology)

Birkhauser, 2012

This textbook takes a broad yet thorough approach to mechanics, aimed at bridging the gap between classical analytic and modern differential geometric approaches to the subject.â Developed by the author from 35 years of teaching experience, the presentation is designed to give students an overview of the many...

Problem Solving with C++

Addison Wesley, 2008

This book is meant to be used in a first course in programming and computer science using the C++ language. It assumes no previous programming experience and no mathematics beyond high school algebra.

If you have used the previous edition of this book, you should read the following section that explains the changes...

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