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# Category: Mathematics

## Finite Difference Computing with Exponential Decay Models

This text provides a very simple, initial introduction to the complete scientific computing pipeline: models, discretization, algorithms, programming, verification, and visualization. The book is easy to read and only requires a command of one-variable calculus and some very basic knowledge about computer programming.

## Calculus I/II With WXMAXIMA

‘wxMaxima for Calculus I’ and ‘wxMaxima for Calculus II’ introduce the free open-source computer algebra system wxMaxima in the context of single variable calculus. Each book can serve as a lab manual for a one-unit semester calculus lab, a source of supplemental CAS exercises or a tutorial reference for students and instructors who prefer learn computer algebra by example.

## Convex Optimization

This book is about convex optimization, a special class of mathematical optimization problems, which includes least-squares and linear programming problems.

## Introduction to Proofs, an Inquiry-Based Approach: A Free text for a course on proofs

Introduction to Proofs is an undergraduate text. It is Inquiry-Based, sometimes called the Discovery Method or the Moore Method.

## Feedback Systems: An Introduction for Scientists and Engineers

This book provides an introduction to the basic principles and tools for the design and analysis of feedback systems. It is intended to serve a diverse audience of scientists and engineers who are interested in understanding and utilizing feedback in physical, biological, information and social systems.

## Theory and Application of Fuzzy Numbers: A Tribute to Professor Witold Kosi?ski

This open access book offers comprehensive coverage on Ordered Fuzzy Numbers, providing readers with both the basic information and the necessary expertise to use them in a variety of real-world applications.

## Non-Uniform Random Variate Generation

Random number generatlon has intrigued sclentists for a few decades, and a lot of effort has been spent on the creation of randomness on a deterministic (non-random) machlne, that is, on the design of computer algorithms that are able to produce “random” sequences of integers.

## Teach Yourself Logic: A Study Guide

The Teach Yourself Logic Study Guide aims to provide the needed advice by suggesting some stand-out books on various areas of mathematical logic.

This book is based on an honors course in advanced calculus that we gave in the 1960’s. It can accordingly be used (with omissions) as a text for a year’s course in advanced calculus, or as a text for a three-semester introduction to analysis.

## Finite Difference Computing with PDEs: A Modern Software Approach

This easy-to-read book introduces the basics of solving partial differential equations by means of finite difference methods. Unlike many of the traditional academic works on the topic, this book was written for practitioners.

## Collection of Papers on Real Time Optimization

This Special Issue on Real-Time Optimization includes both methodological and practical contributions. All seven methodological contributions deal with explicit RTO schemes that repeat the optimization when new measurements become available.

## Maxima By Example

Maxima by Example is a series of tutorial notes which include many examples of the power of Maxima. Designed for the new user, we include some “nuts and bolts” suggestions for working with the Maxima software, especially for the Windows user. 