Learn IT - Books tags calculus

Artificial Intelligence: A Guide to Intelligent Systems (2nd Edition)

Addison Wesley, 2004

Provides a practical introduction to artificial intelligence that is less mathematically rigorous than other books on the market. Appropriate for programmers looking for an overview of all facets of artificial intelligence.

[Shelving Category] Artificial Intelligence/Soft Computing

Artificial Intelligence is often perceived...

Fundamentals of Digital Television Transmission

John Wiley & Sons, 2000

Many engineers familiar with analog television broadcast systems are now faced with designing, operating, and maintaining digital television systems. A major reason for this introductory book is to make the transition from analog to digital television broadcasting as painless as possible for these engineers. The emphasis is on radio-frequency (RF)...

Calculus Demystified : A Self Teaching Guide

McGraw-Hill, 2002

LEARNING CALCULUS JUST GOT A LOT EASIER!

Here’s an innovative shortcut to gaining a more intuitive understanding of both differential and integral calculus. In Calculus Demystified an experienced teacher and author of more than 30 books puts all the math background you need inside and uses practical examples,...

Applications in Engineering, Life and Social Sciences (De Gruyter Reference)

De Gruyter, 2019

Fractional Calculus (FC) has originated in 1695, nearly at the same time as conventional calculus. However, FC attracted limited attention and remained a pure mathematical exercise in spite of the original contributions of important mathematicians, physicists and engineers. FC had a rapid development during the last few decades, both in...

Formal Methods for Concurrency

Coriolis Group Books, 1996

The aim of this work is to provide a practical introduction to the formal specification of concurrent and real-time systems. It is intended for those with some basic knowledge or experience of computing but does not assume knowledge of the particular problems of concurrent and real-time systems. It concentrates on one group of languages,...

A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering)

Springer, 2009

The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example- and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology, and finance. The book teaches "Matlab-style" and procedural...

Fractional Order Motion Controls

John Wiley & Sons, 2012

Covering fractional order theory, simulation and experiments, this book explains how fractional order modelling and fractional order controller design compares favourably with traditional velocity and position control systems. The authors systematically compare the two approaches using applied fractional calculus. Stability theory in...

Schaum's Outline of Calculus, 5ed: Schaum's Outline of Calc, 5ed (Schaum's Outline Series)

McGraw-Hill, 2008

Confusing Textbooks? Missed Lectures? Not Enough Time?

Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline...

Quantum Field Theory

McGraw-Hill, 1987

Quantum field theory has remained throughout the years one of the most important tools in understanding the microscopic world. The recent years have seen a blossoming of developments and applications which go far beyond the original scope.

Our attempt at presenting a pedagogical survey of this subject arose from lectures given in...

Artificial Intelligence for Big Data: Complete guide to automating Big Data solutions using Artificial Intelligence techniques

Packt Publishing, 2018

Build next-generation artificial intelligence systems with Java

Key Features

Implement AI techniques to build smart applications using Deeplearning4j

Perform big data analytics to derive quality insights using Spark MLlib

Create self-learning systems using...

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...

Bayesian Reasoning and Machine Learning

Cambridge University Press, 2012

We live in a world that is rich in data, ever increasing in scale. This data comes from many dierent sources in science (bioinformatics, astronomy, physics, environmental monitoring) and commerce (customer databases, nancial transactions, engine monitoring, speech recognition, surveillance, search). Possessing the knowledge as to...

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