This volume presents a programming model, similar to object-oriented programming, that imposes a strict discipline on the form of the constituent objects and interactions among them. Concurrency considerations have been eliminated from the model itself and are introduced only during implementation, thereby freeing programmers from dealing with concurrency explicitly. Moreover, the resulting software designs are typically more modular and easier to analyze than the more traditional ones. Numerous examples illustrate various aspects of the model and reveal that a few simple, integrated features are adequate for designing complex applications. Topics and features: * Presents a simple, easy-to-understand multiprogramming model * Provides extensive development of the underlying theory * Emphasizes program composition, thereby making possible programming of large systems through modular designs * Eliminates explicit concurrency considerations during program design * Supplies efficient implementation schemes for distributed platforms. This book addresses the problem of developing complex distributed applications on wide-area networks, such as the Internet and World Wide Web, by using effective program design principles. Computer scientists, computer engineers, and software engineers will find the book an authoritative guide to large-scale multiprogramming.
Built using the popular programming language, Python, SageMath is a useful open-source computer software that covers many aspects of mathematics and computer science by using mathematics libraries and a computer algebra system. Filling a gap in computer programming literature, this book features a unique introduction to SageMath as a programming language with a focus on learning computer programming, algorithms, and problem solving. This book focuses on developing a better understanding of the main programming concepts in SageMath, without requiring any programming background. This book also presents the mathematical functions on SageMath, such as the plots and Sage Interacts in order to present a better understanding of the programming concepts that are more interesting than classical "console applications." Topical coverage includes: computer science; computer programming; SageMath; Sage Cloud; Sage Interacts; computer algebra systems; input, processing, and output, variables, operators, and lists; Boolean expressions and relational operators; if statements; for loops and while loops; strings; functions and libraries; GUI programming and interacts; recursive functions and fractals; cryptography and Caesar Cipher; binary numbers; ASCII code; and sorting and searching.
This book describes recent theoretical findings relevant to bilevel programming in general, and in mixed-integer bilevel programming in particular. It describes recent applications in energy problems, such as the stochastic bilevel optimization approaches used in the natural gas industry. New algorithms for solving linear and mixed-integer bilevel programming problems are presented and explained.
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