Developing algorithms

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  • Software requirements for engineering and scientific applications are almost always computational and possess an advanced mathematical component. However, an application that calls for calculating a statistical function, or performs basic differentiation of integration, cannot be easily developed in C++ or most programming languages. In such a case, the engineer or scientist must assume the role of software developer.

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  • Lecture "Charter 3: Structured program development in C" provides students with the knowledge: Basic problem-solving techniques, to develop algorithms through the process of top-down, stepwise refinement, to use the if selection statement and if...else selection statement to select actions,... Inviting you refer.

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  • C# programmers: no more translating data structures from C++ or Java to use in your programs! Mike McMillan provides a tutorial on how to use data structures and algorithms plus the first comprehensive reference for C# implementation of data structures and algorithms found in the .NET Framework library, as well as those developed by the programmer.

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  • The Handbook of Image and Video Processing contains a comprehensive and highly accessible presentation of all essential mathematics, techniques, and algorithms for every type of image and video processing used by scientists and engineers. The timely volume will provide both the novice and the seasoned practitioner with the necessary information and skills to be able to develop algorithms and applications for multimedia, digital imaging, digital video, telecommunications, and World Wide Web industries.

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  • A programmer writing code in a programming language specific.The different programming languages ​​support different styles of programming (called programming methods). Part of the programming task is the selection of one of the most suitable language to solve problems. The different programming languages ​​require the programmer to handle the details at different levels of installed algorithms. Often, this leads to a favorable compromise between the programmer and the program's effectiveness (compromise between "programmer time" and "and the computation time")....

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  • This is the first Visual Basic.NET (VB.NET) book to provide a comprehensive discussion of the major data structures and algorithms. Here, instead of having to translate material on C++ or Java, the professional or student VB.NET programmer will find a tutorial on how to use data structures and algorithms and a reference for implementation using VB.NET for data structures and algorithms from the .NET Framework Class Library as well as those that must be developed by the programmer.

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  • Algorithm is used to define the notion of decidability. It is a set of rules that precisely defines a sequence of operations. This is essential for computers to process information. Computer programs contain algorithms that detail specific instructions a computer should perform to carry out a specified task. The traditional computer program performs specific instructions sequentially, and uses crisp values of information which do not support uncertainties.

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  • When students at MIT competed against each other in the first real-time graphical computer game Spacewar in 1962 (Graetz 1981), probably none of them could have dreamt how realistic and complex computer games would develop to be in four decades and how large a business would grow around them. Commercial arcade games such as Pong and Space Invaders arrived in the 1970s, and home computers brought computer games within the reach of all enthusiasts in the 1980s.

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  • Science arises from the very human desire to understand and control the world. Over the course of history, we humans have gradually built up a grand edifice of knowledge that enables us to predict, to varying extents, the weather, the motions of the planets, solar and lunar eclipses, the courses of diseases, the rise and fall of economic growth, the stages of language development in children, and a vast panorama of other natural, social, and cultural phenomena. More recently we have even come to understand some fundamental limits to our abilities to predict.

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  • As Web sites and intranets become larger and more complex, static HTML files hit their limits. In the first part of Web Application Development with PHP the authors explain PHP's advanced syntax like classes, recursive functions and variables. They present software development methodologies and coding conventions which are a must-know for industry quality products as well as to help making develop faster and more productive. This part covers also many standard algorithms for tree-structures, string sorting and searching. ...

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  • A second problem often observed in developing countries in the credit-investment process is that loans are allocated according to political considerations or ties between bank managers and the corporate sector. This practice is problematic for two reasons: First, even if the central bank can create liquidity and the financial sector as a whole is thus not be constrained by a lack of base money, banks in developing countries are often weakly capitalized. Legal minimum capital-adequacy ratios hence limit the overall amount of loans provided by the financial sector.

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  • This book offers a concise introduction to the art of building simulation software, collecting the most important concepts and algorithms in one place. Written for both individuals new to the field of modeling and simulation as well as experienced practitioners, this guide explains the design and implementation of simulation software used in the engineering of large systems while presenting the relevant mathematical elements, concept discussions, and code development.

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  • This book is the first comprehensive volume on the computer simulation of plant development. It contains a full account of the algorithms used to model plant shapes and developmental processes, Lindenmayer systems in particular. With nearly 50 color plates, the spectacular results of the modelling are vividly illustrated. "This

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  • The Discrete Event Simulation (DES) method has received widespread attention and acceptance by both researchers and practitioners in recent years. The range of application of DES spans across many different disciplines and research fields. In research, further development and advancements of the basic DES algorithm continue to be sought while various hybrid methods derived by combining DES with other simulation techniques continue to be developed.

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  • In recent years, the credit derivatives market has become extremely active. Especially credit default swaps (CDSs) and collateralized debt obligations (CDOs) have contributed to what has been an amazing development. The most important benefit of credit derivatives is their ability to transfer the credit risk of an arbitrary number of obligors in a simple, efficient, and standardized way, giving rise to a liquid market for credit risk that can be easily accessed by many market participants.

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  • We develop a general dynamic programming technique for the tabulation of transition-based dependency parsers, and apply it to obtain novel, polynomial-time algorithms for parsing with the arc-standard and arc-eager models. We also show how to reverse our technique to obtain new transition-based dependency parsers from existing tabular methods. Additionally, we provide a detailed discussion of the conditions under which the feature models commonly used in transition-based parsing can be integrated into our algorithms. ...

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  • Skylines, and other directly related problems such as multiobjective opti- mization [Steuer 1986], maximum vectors [Kung et al. 1975; Matousek 1991], and the contour problem [McLain 1974], have been extensively studied and nu- merous algorithms have been proposed formain-memory processing. To the best of our knowledge, however, the first work addressing skylines in the context of databaseswasBorzsonyi et al. [2001],which develops algorithms based on block nested loops, divide-and-conquer, and index scanning. An improved version of block nested loops is presented in Chomicki et al.

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  • Search algorithms aim to find solutions or objects with specified properties and constraints in a large solution search space or among a collection of objects. A solution can be a set of value assignments to variables that will satisfy the constraints or a sub-structure of a given discrete structure. In addition, there are search algorithms, mostly probabilistic, that are designed for the prospective quantum computer.

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  • It seems an obvious question to ask at the beginning of an HLSL and shader book; what exactly is a shader? It’s a small program or algorithm written explicitly to run on a computer Graphics Processing Unit (GPU). It provides a way for developers to extend the rendering capabilities of the GPU. Any program that works closely with graphics will benefit from using shaders. The video game industry spins off custom shaders by the thousands, they are as vital to game projects as business entity classes are to line of business applications.

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  • Introduction To introduce the algorithm presented in this paper, we take a path that is inverse to the historical development of the idea of analogy (see (Hoffman 95)). This is necessary, because a certain incomprehension is faced when speaking about linguistic analogy, i.e., it is generally given a broader and more psychological definition. Also, with our proposal being computational, it is impossible to ignore works about analogy in computer science, which has come to mean artificial intelligence. ...

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