Reviews table handling, file processing, subprogram interface, advanced features, a comparison of COBOL-74 and COBOL-85, and ANSI COBOL reserved words.
REA’s Essentials provide quick and easy access to critical information in a variety of different fields, ranging from the most basic to the most advanced. As its name implies, these concise, comprehensive study guides summarize the essentials of the field covered. Essentials are helpful when preparing for exams, doing homework and will remain a lasting reference source for students, teachers, and professionals. Data Structures II includes sets, trees, advanced sorting, elementary graph theory, hashing, memory management and garbage collection, and appendices on recursion vs. iteration, algebraic notation, and large integer arithmetic.
REA’s Essentials provide quick and easy access to critical information in a variety of different fields, ranging from the most basic to the most advanced. As its name implies, these concise, comprehensive study guides summarize the essentials of the field covered. Essentials are helpful when preparing for exams, doing homework and will remain a lasting reference source for students, teachers, and professionals. Computer Science II includes organization of a computer, memory and input/output, coding, data structures, and program development. Also included is an overview of the most commonly used computer languages.
REA’s Essentials provide quick and easy access to critical information in a variety of different fields, ranging from the most basic to the most advanced. As its name implies, these concise, comprehensive study guides summarize the essentials of the field covered. Essentials are helpful when preparing for exams, doing homework and will remain a lasting reference source for students, teachers, and professionals. Complex Variables II includes elementary mappings and Mobius transformation, mappings by general functions, conformal mappings and harmonic functions, applying complex functions to applied mathematics, analytic continuation, and analytic function properties.
This vital programming tool is a COBOL application development environment that includes an editor, a debugger, SQL support and utilities all in addition to a mainframe-compatible COBOL/2 compiler. Offers a complete, step-by-step overview of such Workbench fundamentals as installation, main menus, editing and more. Details the use of Checker and Animator for syntax checking and fast code debugging and provides comprehensive guidance for creating, down-loading, converting and testing applications from PC to mainframe.
Sams Teach Yourself COBOL in 24 Hours teaches the basics of COBOL programming in 24 step-by-step lessons. Each lesson builds on the previous one providing a solid foundation in COBOL programming concepts and techniques. This hands-on guide is the easiest, fastest way to begin creating standard COBOL compliant code. Business professionals and programmers from other languages will find this hands-on, task-oriented tutorial extremely useful for learning the essential features and concepts of COBOL programming. Writing a program can be a complex task. Concentrating on one development tool guides you to good results every time. There will be no programs that will not compile!
Essentials of Monte Carlo Simulation focuses on the fundamentals of Monte Carlo methods using basic computer simulation techniques. The theories presented in this text deal with systems that are too complex to solve analytically. As a result, readers are given a system of interest and constructs using computer code, as well as algorithmic models to emulate how the system works internally. After the models are run several times, in a random sample way, the data for each output variable(s) of interest is analyzed by ordinary statistical methods. This book features 11 comprehensive chapters, and discusses such key topics as random number generators, multivariate random variates, and continuous random variates. Over 100 numerical examples are presented as part of the appendix to illustrate useful real world applications. The text also contains an easy to read presentation with minimal use of difficult mathematical concepts. Very little has been published in the area of computer Monte Carlo simulation methods, and this book will appeal to students and researchers in the fields of Mathematics and Statistics.
Corruption in Society: Multidisciplinary Conceptualizations is the first book to address the notion of corruption in a truly multidisciplinary manner, augmented with empirical evidence. The prevalent definition in books and articles on corruption is that it is a dishonest or fraudulent conduct by those with political and/or economic power, typically involving bribery. This political-economy or public choice denotation, while very useful, is inadequate for a comprehensive understanding of the concept because the notion of corruption appears in every discipline. For example, in the field of chemistry, chemical corruption concerns (a) the incorporation of defective compounds into experiments to better simulate conditions on the early-Earth and to help us understand how the first molecules of life formed and (b) how to make chemicals appear safer, sometimes dodging restrictions on their use, by minimizing the estimates of how much is released into the environment. In order to address this shortcoming, this book provides a discipline-by-discipline conceptualization of corruption buttressed with evidence from the discipline.