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Optimization Software Guide

Optimization Software Guide
Author: Jorge J. More
Publisher: SIAM
Total Pages: 166
Release: 1993-01-01
Genre: Mathematics
ISBN: 9781611970951

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Developments in optimization theory, including emphasis on large problems and on interior-point methods for linear programming, have begun to appear in production software. Here is a reference tool that includes discussions of these areas and names software packages that incorporate the results of theoretical research. After an introduction to the major problem areas in optimization and an outline of the algorithms used to solve them, a data sheet is presented for each of the 75 software packages and libraries in the authors' survey. These include information on the capabilities of the packages, how to obtain them, and addresses for further information. Standard optimization paradigms are addressed -- linear, quadratic, and nonlinear programming; network optimization; unconstrained and bound-constrained optimization; least-squares problems; nonlinear equations; and integer programming. The most practical algorithms for the major fields of numerical optimization are outlined, and the software packages in which they are implemented are described. This format will aid current and potential users of optimization software in classifying the optimization problem to be solved, determining appropriate algorithms, and obtaining the software that implements those algorithms. Readers need only a basic knowledge of vector calculus and linear algebra to understand this book.


Optimization Software Guide

Optimization Software Guide
Author: Jorge J. More
Publisher: SIAM
Total Pages: 149
Release: 1993-01-01
Genre: Mathematics
ISBN: 0898713226

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Mathematics of Computing -- Numerical Analysis.


Software Optimization for High-performance Computing

Software Optimization for High-performance Computing
Author: Kevin R. Wadleigh
Publisher: Prentice Hall Professional
Total Pages: 414
Release: 2000
Genre: Computers
ISBN: 9780130170088

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The hands-on guide to high-performance coding and algorithm optimization. This hands-on guide to software optimization introduces state-of-the-art solutions for every key aspect of software performance - both code-based and algorithm-based. Two leading HP software performance experts offer comparative optimization strategies for RISC and for the new Explicitly Parallel Instruction Computing (EPIC) design used in Intel IA-64 processors. Using many practical examples, they offer specific techniques for: Predicting and measuring performance - and identifying your best optimization opportunities Storage optimization: cache, system memory, virtual memory, and I/0 Parallel processing: distributed-memory and shared-memory (SMP and ccNUMA) Compilers and loop optimization Enhancing parallelism: compiler directives, threads, and message passing Mathematical libraries and algorithms Whether you're a developer, ISV, or technical researcher, if you need to optimize high-performance software on today's leading processors, one book delivers the advanced techniques and code examples you need: Software Optimization for High Performance Computing.


Algorithms for Optimization

Algorithms for Optimization
Author: Mykel J. Kochenderfer
Publisher: MIT Press
Total Pages: 521
Release: 2019-03-12
Genre: Computers
ISBN: 0262039427

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A comprehensive introduction to optimization with a focus on practical algorithms for the design of engineering systems. This book offers a comprehensive introduction to optimization with a focus on practical algorithms. The book approaches optimization from an engineering perspective, where the objective is to design a system that optimizes a set of metrics subject to constraints. Readers will learn about computational approaches for a range of challenges, including searching high-dimensional spaces, handling problems where there are multiple competing objectives, and accommodating uncertainty in the metrics. Figures, examples, and exercises convey the intuition behind the mathematical approaches. The text provides concrete implementations in the Julia programming language. Topics covered include derivatives and their generalization to multiple dimensions; local descent and first- and second-order methods that inform local descent; stochastic methods, which introduce randomness into the optimization process; linear constrained optimization, when both the objective function and the constraints are linear; surrogate models, probabilistic surrogate models, and using probabilistic surrogate models to guide optimization; optimization under uncertainty; uncertainty propagation; expression optimization; and multidisciplinary design optimization. Appendixes offer an introduction to the Julia language, test functions for evaluating algorithm performance, and mathematical concepts used in the derivation and analysis of the optimization methods discussed in the text. The book can be used by advanced undergraduates and graduate students in mathematics, statistics, computer science, any engineering field, (including electrical engineering and aerospace engineering), and operations research, and as a reference for professionals.


Data Plane Development Kit (DPDK)

Data Plane Development Kit (DPDK)
Author: Heqing Zhu
Publisher: CRC Press
Total Pages: 354
Release: 2020-11-19
Genre: Computers
ISBN: 1000194426

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This book brings together the insights and practical experience of some of the most experienced Data Plane Development Kit (DPDK) technical experts, detailing the trend of DPDK, data packet processing, hardware acceleration, packet processing and virtualization, as well as the practical application of DPDK in the fields of SDN, NFV, and network storage. The book also devotes many chunks to exploring various core software algorithms, the advanced optimization methods adopted in DPDK, detailed practical experience, and the guides on how to use DPDK.


Numerical Methods and Optimization

Numerical Methods and Optimization
Author: Éric Walter
Publisher: Springer
Total Pages: 485
Release: 2014-07-22
Genre: Technology & Engineering
ISBN: 331907671X

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Initial training in pure and applied sciences tends to present problem-solving as the process of elaborating explicit closed-form solutions from basic principles, and then using these solutions in numerical applications. This approach is only applicable to very limited classes of problems that are simple enough for such closed-form solutions to exist. Unfortunately, most real-life problems are too complex to be amenable to this type of treatment. Numerical Methods – a Consumer Guide presents methods for dealing with them. Shifting the paradigm from formal calculus to numerical computation, the text makes it possible for the reader to · discover how to escape the dictatorship of those particular cases that are simple enough to receive a closed-form solution, and thus gain the ability to solve complex, real-life problems; · understand the principles behind recognized algorithms used in state-of-the-art numerical software; · learn the advantages and limitations of these algorithms, to facilitate the choice of which pre-existing bricks to assemble for solving a given problem; and · acquire methods that allow a critical assessment of numerical results. Numerical Methods – a Consumer Guide will be of interest to engineers and researchers who solve problems numerically with computers or supervise people doing so, and to students of both engineering and applied mathematics.


Aimms Optimization Modeling

Aimms Optimization Modeling
Author: Johannes Bisschop
Publisher: Lulu.com
Total Pages: 318
Release: 2006
Genre: Computers
ISBN: 1847539122

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The AIMMS Optimization Modeling book provides not only an introduction to modeling but also a suite of worked examples. It is aimed at users who are new to modeling and those who have limited modeling experience. Both the basic concepts of optimization modeling and more advanced modeling techniques are discussed. The Optimization Modeling book is AIMMS version independent.


Sniffer Pro Network Optimization & Troubleshooting Handbook

Sniffer Pro Network Optimization & Troubleshooting Handbook
Author: Syngress
Publisher: Elsevier
Total Pages: 689
Release: 2002-08-16
Genre: Computers
ISBN: 0080480985

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Sniffer Network Optimization and Troubleshooting Handbook introduces the reader to the vast functionality of the suite of Sniffer Solutions from Network Associates but ultimately focuses on the affordable and most widely used Sniffer Product - Sniffer Pro LAN Network Analyzer. This book begins with the basic features of Sniffer Pro LAN and then moves the reader through the impressive tips and tools available for gathering data, analyzing, troubleshooting, resolving and securing problems on their network. Sniffer from Network Associates is a suite of tools including Sniffer Portable Analysis Suite, Sniffer Distributed Analysis Suite, Sniffer Reporting, Sniffer Optical, and Sniffer Wireless. With a clear market leadership, Sniffer Solutions are employed in over 80% of the enterprise networks of the Fortune 100. Sniffer has also received wide industry acclaim from the experts and its everyday users. In 2000 Sniffer was named one of the 10 most computer products of the decade by Network Computing Magazine. It also received the "Editor's Choice" award from PC Magazine during the second quarter of 2001. Over 60,000 individuals have taken advantage of the educational services offered by Sniffer Technologies - aptly named Sniffer University. Coupled with the introduction of the Sniffer Certified Professional Program (SCPP) as a replacement for the popular CNX (Certified Network Expert) certification, an aptitude with Sniffer Solutions is a "must-have" for system administrators. Offers comprehensive coverage of Sniffer Pro LAN Supplemental study materials for the SCPP certification track. As of April 2001, the CNX certifications track became inactive. Current CNXs looking to update their certifications to the new SCPP track are going to need to bring themselves up to speed on the new offerings from the Sniffer family of products before desertification Up to the Minute Web-based Support. Once the reader understands the concepts of network hardware, configuration, and implementation, they can receive up-to-the minute links, white papers, and analysis for one year at [email protected]


The Software Optimization Cookbook

The Software Optimization Cookbook
Author: Richard Gerber
Publisher:
Total Pages: 404
Release: 2006
Genre: Computers
ISBN: 9780976483212

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Annotation Four Intel experts explain the techniques and tools that you can use to improve the performance of applications for IA-32 processors. Simple explanations and code examples help you to develop software that benefits from Intel? Extended Memory 64 Technology (Intel? EM64T), multi-core processing, Hyper-Threading Technology, OpenMP*, and multimedia extensions. This book guides you through the growing collection of software tools, compiler switches, and coding optimizations, showing you efficient ways to get the best performance from software applications.


Performance Optimization of Numerically Intensive Codes

Performance Optimization of Numerically Intensive Codes
Author: Stefan Goedecker
Publisher: SIAM
Total Pages: 184
Release: 2001-01-01
Genre: Computer architecture
ISBN: 9780898718218

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Performance Optimization of Numerically Intensive Codes offers a comprehensive, tutorial-style, hands-on, introductory and intermediate-level treatment of all the essential ingredients for achieving high performance in numerical computations on modern computers. The authors explain computer architectures, data traffic and issues related to performance of serial and parallel code optimization exemplified by actual programs written for algorithms of wide interest. The unique hands-on style is achieved by extensive case studies using realistic computational problems. The performance gain obtained by applying the techniques described in this book can be very significant. The book bridges the gap between the literature in system architecture, the one in numerical methods and the occasional descriptions of optimization topics in computer vendors' literature. It also allows readers to better judge the suitability of certain computer architecture to their computational requirements. In contrast to standard textbooks on computer architecture and on programming techniques the book treats these topics together at the level necessary for writing high-performance programs. The book facilitates easy access to these topics for computational scientists and engineers mainly interested in practical issues related to efficient code development.