Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

In the library at Trinity College, Cambridge in 1976, George Andrews of Pennsylvania State University discovered a sheaf of pages in the handwriting of Srinivasa Ramanujan. Soon designated as "Ramanujan's Lost Notebook," it contains considerable material on mock theta functions and undoubtedly dates from the last year of Ramanujan's life. In this book, the notebook is presented with additional material and expert commentary.

In the spring of 1976, George Andrews of Pennsylvania State University visited the library at Trinity College, Cambridge to examine the papers of the late G.N. Watson. Among these papers, Andrews discovered a sheaf of 138 pages in the handwriting of Srinivasa Ramanujan. This manuscript was soon designated, "Ramanujan's lost notebook." Its discovery has frequently been deemed the mathematical equivalent of finding Beethoven's tenth symphony.

This volume is the third of five volumes that the authors plan to write on Ramanujan's lost notebook and other manuscripts and fragments found in The Lost Notebook and Other Unpublished Papers, published by Narosa in 1988. The ordinary partition function p(n) is the focus of this third volume. In particular, ranks, cranks, and congruences for p(n) are in the spotlight. Other topics include the Ramanujan tau-function, the Rogers-Ramanujan functions, highly composite numbers, and sums of powers of theta functions.

Review from the second volume:

"Fans of Ramanujan's mathematics are sure to be delighted by this book. While some of the content is taken directly from published papers, most chapters contain new material and some previously published proofs have been improved. Many entries are just begging for further study and will undoubtedly be inspiring research for decades to come. The next installment in this series is eagerly awaited."
- MathSciNet

Review from the first volume:

"Andrews and Berndt are to be congratulated on the job they are doing. This is the first step...on the way to an understanding of the work of the genius Ramanujan. It should act as an inspiration to future generations of mathematicians to tackle a job that will never be complete."
- Gazette of the Australian Mathematical Society"

In the spring of 1976, George Andrews of Pennsylvania State University visited the library at Trinity College, Cambridge, to examine the papers of the late G.N. Watson. Among these papers, Andrews discovered a sheaf of 138 pages in the handwriting of Srinivasa Ramanujan. This manuscript was soon designated, "Ramanujan's lost notebook." Its discovery has frequently been deemed the mathematical equivalent of finding Beethoven's tenth symphony. This fifth and final installment of the authors' examination of Ramanujan's lost notebook focuses on the mock theta functions first introduced in Ramanujan's famous Last Letter. This volume proves all of the assertions about mock theta functions in the lost notebook and in the Last Letter, particularly the celebrated mock theta conjectures. Other topics feature Ramanujan's many elegant Euler products and the remaining entries on continued fractions not discussed in the preceding volumes. Review from the second volume:"Fans of Ramanujan's mathematics are sure to be delighted by this book. While some of the content is taken directly from published papers, most chapters contain new material and some previously published proofs have been improved. Many entries are just begging for further study and will undoubtedly be inspiring research for decades to come. The next installment in this series is eagerly awaited."- MathSciNet Review from the first volume:"Andrews and Berndt are to be congratulated on the job they are doing. This is the first step...on the way to an understanding of the work of the genius Ramanujan. It should act as an inspiration to future generations of mathematicians to tackle a job that will never be complete."- Gazette of the Australian Mathematical Society

This scarce antiquarian book is a selection from Kessinger Publishing's Legacy Reprint Series. Due to its age, it may contain imperfections such as marks, notations, marginalia and flawed pages. Because we believe this work is culturally important, we have made it available as part of our commitment to protecting, preserving, and promoting the world's literature. Kessinger Publishing is the place to find hundreds of thousands of rare and hard-to-find books with something of interest for everyone!

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this popular guide adds comprehensive examples in Python, provides practical guidance on applying statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what’s important and what’s not. Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R or Python programming languages and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format. With this book, you’ll learn: Why exploratory data analysis is a key preliminary step in data science How random sampling can reduce bias and yield a higher-quality dataset, even with big data How the principles of experimental design yield definitive answers to questions How to use regression to estimate outcomes and detect anomalies Key classification techniques for predicting which categories a record belongs to Statistical machine learning methods that "learn" from data Unsupervised learning methods for extracting meaning from unlabeled data

This seminal photography text, now in its 11th edition, has been revamped, reorganized, and modernized to include the most up-to-date and need-to-know information for photographers. Introducing all the key concepts and fundamentals of photography, this book is a must-have for any photographer’s bookcase.

Providing examples and practical information throughout to allow photographers to apply concepts to their own work, the text explains the fundamentals of photography in an accessible way. Fully updated to reflect the dynamic changes in the industry, this 11th edition includes expanded and updated content focusing on advances in camera technology and digital lighting, connecting with the global photography industry and professional networks through social media, updated images throughout, and a new chapter on new digital outputs.

Ideal as a foundational text for students of photography as well as a key reference for professionals.

Table of Contents

Foreword

Introduction

Picture Credits

Chapter 1. What is Photography?

Why Photography?

Changing Attitudes Toward Photography

Art and documentation

How Photography Works

Picture Structuring

The Roles Photographs Play

Personal Styles and Approaches

Measuring Success

Chapter 2. Light: How Images Are Formed

Light Itself

Wavelengths and Colors

Shadows

When Light Reaches a Surface

Light Intensity and Distance

Making Light form Images

Chapter 3. Lenses and Filters: Controlling the Image

Photographic Lenses

Aperture and f-numbers

Depth of Field

How Depth of Field Works

Depth of Focus

Using Different Focal Length Lenses, Camera Kits

Why Change Focal Length?

Lens Kits

Image Stabilization

Close-up Equipment

Lens Care

Essentials and Extras

Which Kit Works for You?

Filters – How They Work

Chapter 4. Cameras

The Essential Components

Camera Types – Which is Best?

Getting Started with Digital Cameras

Digital Cameras

Film Cameras

Chapter 5. Exposure Measurement

Factors that Determine What Exposure to Give

Measuring Exposure for Continuous Light

Practical Exposure Tips

Measuring Exposure for Flash

Practical Flash Exposure Tips

Exposing Different Film Types

Chapter 6. Organizing The Picture

Noticing Subject Features

Structuring Pictures Through the Camera

Where Photographs Go

Chapter 7. Lighting

Principles and Equipment

Basic Characteristics of Lighting

Lighting Equipment

Practical Lighting Problems

Special Subjects

Chapter 8. Digital Workflow

Before Making Your First Photographs

Capture

Downloading Your Photographs

Processing Raw Files

Digitizing Film

Image processing for output

Archiving

Chapter 9. Digital Postproduction

Photoshop

Working with Color and Contrast

Color

Retouching Tools

The Crop Tool (C)

Composite Images with Photomerge

Actions

Useful Photoshop Shortcuts

Chapter 10. Film and Film Processing

Silver Halide Emulsions

Features Common to all Films

Choosing Films for Black and White

Films for Color Photography

Storing Film – Before and After Exposure

So Which Film is “Best”?

Film Processing

Processing Black and White (Silver Image) Negatives

Processing Chromogenic (Color and Black and White) Negatives

Processing Color Slides and Transparencies

Permanence of Processed Results

Chapter 11. Black and White Printing: Techniques, Equipment, and Facilities

Making a Print

Printing Papers

Safelighting and Printing Paper Sensitivity

Developing Prints

Making Contact Prints

“Straight” Enlarging

Controls During Enlarging

Common Print Faults

Variations

Chemical Afterwork

Retouching

Toning

Tinting

Etching

Image Reduction and Bleach-Out

Permanence and Archiving

Darkroom Organization

Equipment: The Enlarger

Chapter 12. Moving Image and Photography

Introduction

Approaching Moving Images

Moving Image Essentials

Working for Offline and Online Screen Display

Capturing and Remapping Time with Time-lapse Photography

Basic Time-Lapse Photography Production

Shooting Mirrorless and DSLR Video

Animated GIFs and Derivatives

Chapter 13. Finishing and Presenting Work

The Permanence of Prints

Mounting Methods and Framing

Spotting/Retouching

Getting your Work Noticed

Pictures on the Internet

Building your Own Site

Chapter 14. The Expanded Digital Photography Field

Introduction

Digital Processing and Computer Generated Images

The non-visible spectrum and spectral capture

2.5 and 3D Reconstruction

Appendices

Appendix A: Optical Calculations

Appendix B: Camera Movements

Appendix C: Expressing film response

Appendix D: Chemical formulae

Appendix E: Health and Safety concerns

Appendix F: Digital Notebook

Appendix G: Photography timeline

Glossary

It is a fact of business life that most managers are promoted into their first management job with hardly any training. And if they get promoted again, guess what? The same thing happens again. Managers are basically expected to work out how to do a new job by reacting to the pressures the role puts on them. They can ask questions to begin with, of course, but by the time they have been in post for a while they find it difficult to reveal their ignorance or lack of skills to other people.So, they look for a book that: ?
* Is a one-stop shop, they don't want to buy a book covering each individual aspect of their work, they want it in one place
* Is not too academic or clever, you don't need Drucker on Globalisation when you are trying to make a decision whether or not to hire someone in the Paris office
* Gives hard practical advice built on experience rather than management theory
* Works
* Is accessible and easy to use
* Is simple and practical to implement tomorrow
100 Business FAQ's is just that book. It gives step-by-step solutions to sensible questions such as, 'What exactly is in a strategic plan?' and 'How do you do risk assessment?'This book is not a once-only read, it will become your business bible - to be used in anger from day one and referred to throughout the rest of your careerThe book also gives practical answers to important questions such as 'How do I gain influence with my boss's boss without annoying my boss?' Answer: First make sure that your boss thinks that other people believe that your good ideas are his. Then make sure that your boss's boss knows that both your good ideas and your boss's good ideas are really yours. Remember that success has many parents while failure is an orphan.

In the spring of 1976, George Andrews of Pennsylvania State University visited the library at Trinity College, Cambridge, to examine the papers of the late G.N. Watson. Among these papers, Andrews discovered a sheaf of 138 pages in the handwriting of Srinivasa Ramanujan. This manuscript was soon designated, "Ramanujan's lost notebook." Its discovery has frequently been deemed the mathematical equivalent of finding Beethoven's tenth symphony. This fifth and final installment of the authors' examination of Ramanujan's lost notebook focuses on the mock theta functions first introduced in Ramanujan's famous Last Letter. This volume proves all of the assertions about mock theta functions in the lost notebook and in the Last Letter, particularly the celebrated mock theta conjectures. Other topics feature Ramanujan's many elegant Euler products and the remaining entries on continued fractions not discussed in the preceding volumes. Review from the second volume:"Fans of Ramanujan's mathematics are sure to be delighted by this book. While some of the content is taken directly from published papers, most chapters contain new material and some previously published proofs have been improved. Many entries are just begging for further study and will undoubtedly be inspiring research for decades to come. The next installment in this series is eagerly awaited."- MathSciNet Review from the first volume:"Andrews and Berndt are to be congratulated on the job they are doing. This is the first step...on the way to an understanding of the work of the genius Ramanujan. It should act as an inspiration to future generations of mathematicians to tackle a job that will never be complete."- Gazette of the Australian Mathematical Society

In the spring of 1976, George Andrews of Pennsylvania State University visited the library at Trinity College, Cambridge, to examine the papers of the late G.N. Watson. Among these papers, Andrews discovered a sheaf of 138 pages in the handwriting of Srinivasa Ramanujan. This manuscript was soon designated "Ramanujan's lost notebook." The "lost notebook" contains considerable material on mock theta functions and so undoubtedly emanates from the last year of Ramanujan's life. It should be emphasized that the material on mock theta functions is perhaps Ramanujan's deepest work.

In the library at Trinity College, Cambridge in 1976, George Andrews of Pennsylvania State University discovered a sheaf of pages in the handwriting of Srinivasa Ramanujan. Soon designated as "Ramanujan 's Lost Notebook," it contains considerable material on mock theta functions and undoubtedly dates from the last year of Ramanujan 's life. In this book, the notebook is presented with additional material and expert commentary.

In the spring of 1976, George Andrews of Pennsylvania State University visited the library at Trinity College, Cambridge to examine the papers of the late G.N. Watson. Among these papers, Andrews discovered a sheaf of 138 pages in the handwriting of Srinivasa Ramanujan. This manuscript was soon designated, "Ramanujan's lost notebook." Its discovery has frequently been deemed the mathematical equivalent of finding Beethoven's tenth symphony. This volume is the third of five volumes that the authors plan to write on Ramanujan's lost notebook and other manuscripts and fragments found in The Lost Notebook and Other Unpublished Papers, published by Narosa in 1988. The ordinary partition function p(n) is the focus of this third volume. In particular, ranks, cranks, and congruences for p(n) are in the spotlight. Other topics include the Ramanujan tau-function, the Rogers-Ramanujan functions, highly composite numbers, and sums of powers of theta functions. Review from the second volume: "Fans of Ramanujan's mathematics are sure to be delighted by this book. While some of the content is taken directly from published papers, most chapters contain new material and some previously published proofs have been improved. Many entries are just begging for further study and will undoubtedly be inspiring research for decades to come. The next installment in this series is eagerly awaited." - MathSciNet Review from the first volume: "Andrews a nd Berndt are to be congratulated on the job they are doing. This is the first step...on the way to an understanding of the work of the genius Ramanujan. It should act as an inspiration to future generations of mathematicians to tackle a job that will never be complete." - Gazette of the Australian Mathematical Society

Using a visual data analysis approach, wavelet concepts are explained in a way that is intuitive and easy to understand. Furthermore, in addition to wavelets, a whole range of related signal processing techniques such as wavelet packets, local cosine analysis, and matching pursuits are covered, and applications of wavelet analysis are illustrated -including nonparametric function estimation, digital image compression, and time-frequency signal analysis. This book and software package is intended for a broad range of data analysts, scientists, and engineers. While most textbooks on the subject presuppose advanced training in mathematics, this book merely requires that readers be familiar with calculus and linear algebra at the undergraduate level.