Introduction to Python Programming And Data Structure By Liang

This volume describes how frontier efficiency methodologies such as Data Envelopment Analysis (DEA) and other techniques such as multi-criteria decision making can help service industries to improve their performance by providing a ranking of best-practice efficient service units and by identifying sources of inefficiency for each service unit. It explains how they can be used to determine potential improvement targets for each of the inefficient service units, to identify peers for each service organization and to provide a basis for continuous performance improvement. Presenting applications in a variety of industries, this book will be useful for the service management to improve service productivity, profitability, sustainability and quality and effectiveness of service deliveries. A free trial version of the World's leading Data Envelopment Analysis Software (PIM-DEA) is available for readers of this book.

The book provides a self-contained introduction to classical Number Theory. All the proofs of the individual theorems and the solutions of the exercises are being presented step by step. Some his

The subject of this book is to reveal the formation process of circulation structure centering on vegetable wholesale market in western cities of China. The data are mainly from the interview and surv

Finsler's papers on set theory are presented, here for the first time in English translation, in three parts, and each is preceded by an introduction to the field written by the editors. In the philos

The aim of this book is to provide an introduction to the structure theory of higher dimensional algebraic varieties by studying the geometry of curves, especially rational curves, on varieties. The m

Sidescan sonar is proving to be the preeminent technique for researchers and professionals seeking knowledge about the structure and behavior of the seafloor, but its data is often difficult to interp

This thesis provides an introduction to the physics of the Standard Model and beyond, and to the methods used to analyse Large Hadron Collider (LHC) data. The 'hierarchy problem', astrophysical data a

Analyses data on the composition, structure and formation ofvarious petroleum hydrocarbons: the alkanes, cycloalkanesand arenes. Attention is paid to biological markers, com-pounds that may ha

Provides an introduction to the structure and function of biomolecules --- especially proteins --- and the physical tools used to investigate themThe discussion concentrates on physical tools and prop

This text is a guide how to solve problems in which viscoelasticity is present using existing commercial computational codes. The book gives information on codes’ structure and use, data preparation

The fourth edition of this well-known book provides students, researchers and technicians in the areas of medicine, genetics and cell biology with an up-to-date introduction to the structure and behav

This pioneering text provides a comprehensive introduction to systems structure, function, and modeling as applied in all fields of science and engineering. Systems understanding is increasingly recog

Statistical analysis of extreme data is vital to many disciplines including hydrology, insurance, finance, engineering and environmental sciences. This book provides a self-contained introduction to p

This concise introduction to the fiber fuse phenomenon, which can cause catastrophic damage to optical communications, features the author’s research data as well as high-quality photographs and video

This (post) graduate text gives a broad introduction to Lie groups and algebras with an emphasis on differential geometrical methods. It analyzes the structure of compact Lie groups in terms of the ac

This book provides a comprehensive introduction to integrated optical waveguides for information technology and data communications. Integrated coverage ranges from advanced materials, fabrication, an

Here is a concise and comprehensive introduction to business intelligence (BI). This book combines traditional BI technologies with new topics such as business semantics, Big Data analysis, and multic

Nonlinear Model Predictive Control is a thorough and rigorous introduction to nonlinear model predictive control (NMPC) for discrete-time and sampled-data systems. NMPC is interpreted as an approximat

This textbook is designed to give an engaging introduction to statistics and the art of data analysis. The unique scope includes, but also goes beyond, classical methodology associated with the normal

With new chapters on data analysis and multi-level models, and fresh exercises in SPSS and Stata, this fourth edition provides a solid introduction to the topic. Real-life examples show how statistica

This book presents a comprehensive and systematic introduction to transforming process-oriented data into information about the underlying business process, which is essential for all kinds of decisio

Remote Sensing Digital Image Analysis provides the non-specialist with an introduction to quantitative evaluation of satellite and aircraft derived remotely retrieved data. Since the first edition of

Learn the fundamental aspects of the business statistics, data mining, and machine learning techniques required to understand the huge amount of data generated by your organization. This book explains

The hearing organs of non-mammals, which show quite large and systematic differences to each other and to those of mammals, provide an invaluable basis for comparisons of structure and function. By ta

Wood is a biological structure well-adapted to external loading. It carries axial loads in a tree by longitudinal fibres and radial loads by rays; circumferential compressive growth stresses prevent t

This book deals with statistics in medicine in a simple way. The text is supported by abundant examples from medical data. This book aims to explain and simplify the process of data presentation. F

Medical practice is practiced morality, and clinical research belongs to normative ethics. The present book elucidates and advances this thesis by: 1. analyzing the structure of medical language, know

In addition to structure formation in crystallizing polymers and semicrystalline polymers, this second edition completes the topic of transport phenomena. It also reviews solidification by crystalliza

This book is devoted to the rapidly growing area of science dealing with structure and properties of biological surfaces in their relation to particular function(s). This volume, written by a team of

This book is devoted to the rapidly growing area of science dealing with structure and properties of biological surfaces in their relation to particular function(s). This volume, written by a team of

This book introduces the current understanding of fundamentals of nuclear physics by referring to key experimental data and by providing a theoretical understanding of principal nuclear properties.It

We are surrounded by data, numerical, categorical and otherwise, which must to be analyzed and processed to convert it into information that instructs, answers or aids understanding and decision makin

This book introduces an approach to active system control design and development to improve the properties of our technological systems. It extends concepts of control and data accumulation by explain

Neron models were invented by A. Neron in the early 1960s in order to study the integral structure of abelian varieties over number fields. Since then, arithmeticians and algebraic geometers have appl

This book illustrates the commonly used and novel approaches of audio watermarking for copyrights protection. The author examines the theoretical and practical step by step guide to the topic of data

This book addresses challenges faced by both the algorithm designer and the chip designer, who need to deal with the ongoing increase of algorithmic complexity and required data throughput for today’s

This book examines both academic and practical theories relating to leader development. It broadens the scope of this topic by including data-driven theory and proposals from diverse areas that are ei

Communications and personal information that are posted online are usually accessible to a vast number of people. Yet when personal data exist online, they may be searched, reproduced and mined by adv

Provides a self-contained comprehensive treatment of both one-sample and K-sample goodness-of-fit methods by linking them to a common theory backboneContains many data examples, including R-code and a

Based on an honors course taught by the author at UC Berkeley, this introduction to undergraduate real analysis gives a different emphasis by stressing the importance of pictures and hard problems. To