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"programming"
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How to talk to your computer
Introduces young children to computer languages and explains programs and how to write them.
Book
Solving Stochastic and Bilevel Mixed-Integer Programs via a Generalized Value Function
We introduce a generalized value function of a mixed-integer program, which is simultaneously parameterized by its objective and right-hand side. We describe its fundamental properties, which we exploit through three algorithms to calculate it. We then show how this generalized value function can be used to reformulate two classes of mixed-integer optimization problems: two-stage stochastic mixed-integer programming and multifollower bilevel mixed-integer programming. For both of these problem classes, the generalized value function approach allows the solution of instances that are significantly larger than those solved in the literature in terms of the total number of variables and number of scenarios.
Journal Article
How to convexify the intersection of a second order cone and a nonconvex quadratic
A recent series of papers has examined the extension of disjunctive-programming techniques to mixed-integer second-order-cone programming. For example, it has been shown—by several authors using different techniques—that the convex hull of the intersection of an ellipsoid,
E
, and a split disjunction,
(
l
-
x
j
)
(
x
j
-
u
)
≤
0
with
l
<
u
, equals the intersection of
E
with an additional second-order-cone representable (SOCr) set. In this paper, we study more general intersections of the form
K
∩
Q
and
K
∩
Q
∩
H
, where
K
is a SOCr cone,
Q
is a nonconvex cone defined by a single homogeneous quadratic, and
H
is an affine hyperplane. Under several easy-to-verify conditions, we derive simple, computable convex relaxations
K
∩
S
and
K
∩
S
∩
H
, where
S
is a SOCr cone. Under further conditions, we prove that these two sets capture precisely the corresponding conic/convex hulls. Our approach unifies and extends previous results, and we illustrate its applicability and generality with many examples.
Journal Article
Bad programming practices 101 : become a better coder by learning how (not) to program
\"This book takes a humorous slant on the programming practice manual by reversing the usual approach: under the pretence of teaching you how to become the world's worst programmer who generally causes chaos, the book teaches you how to avoid the kind of bad habits that introduce bugs or cause code contributions to be rejected. Why be a code monkey when you can be a chaos monkey? OK, so you want to become a terrible programmer. You want to write code that gets vigorously rejected in review. You look forward to reading feedback plastered in comments like WTF?? Even better, you fantasize about your bug-ridden changes sneaking through and causing untold chaos in the codebase. You want to build a reputation as someone who writes creaky, messy, error-prone garbage that frustrates your colleagues. Bad Programming Practices 101 will help you achieve that goal a whole lot quicker by teaching you an array of bad habits that will allow you to cause maximum chaos.Alternatively, you could use this book to identify those bad habits and learn to avoid them. The bad practices are organized into topics that form the basis of programming (layout, variables, loops, modules, and so on). It's been remarked that to become a good programmer, you must first write 10,000 lines of bad code to get it all out of your system. This book is aimed at programmers who have so far written only a small portion of that. By learning about poor programming habits, you will learn good practices. In addition, you will find out the motivation behind each practice, so you can learn why it is considered good and not simply get a list of rules.\"-- Provided by publisher.
Book
Probabilistic (logic) programming concepts
A multitude of different probabilistic programming languages exists today, all extending a traditional programming language with primitives to support modeling of complex, structured probability distributions. Each of these languages employs its own probabilistic primitives, and comes with a particular syntax, semantics and inference procedure. This makes it hard to understand the underlying programming concepts and appreciate the differences between the different languages. To obtain a better understanding of probabilistic programming, we identify a number of core programming concepts underlying the primitives used by various probabilistic languages, discuss the execution mechanisms that they require and use these to position and survey state-of-the-art probabilistic languages and their implementation. While doing so, we focus on probabilistic extensions of
logic
programming languages such as Prolog, which have been considered for over 20 years.
Journal Article
Java for dummies
Learn to write practical, reusable code with the straightforward tutorials and tips in the newest edition of this For Dummies bestseller Do you speak Java? No, we're not talking about your morning cup 'o joe. We mean the world's most popular programming language that runs on almost any computer! If you're looking to get started-or up your game-with Java, then Java For Dummies is the guide you need. In this book, you'll: Take control of your program flow Program with classes, objects, and methods Use Java's functional programming features Explore Java 17, the latest long-term support release This up-to-date handbook covers the latest developments in Java, including the new 'switch' statement syntax. So, if you're ready to dive into one of the most practical (and coolest!) programming languages around, it's time you picked up Java For Dummies.
eBook
The Rust programming language
\"The official guide to Rust, a community-developed, systems programming language. Begins with a hands-on project to introduce the basics, then explores key concepts in depth\"-- Provided by publisher.
Book
ASP-Core-2 Input Language Format
Standardization of solver input languages has been a main driver for the growth of several areas within knowledge representation and reasoning, fostering the exploitation in actual applications. In this document, we present the
ASP-CORE-2
standard input language for Answer Set Programming, which has been adopted in ASP Competition events since 2013.
Journal Article