OptimJ is an extension of the Java programming language with language support for writing optimization
models and powerful abstractions for bulk data processing.
OptimJ is a radically new optimization modeling language designed as a Java extension with Eclipse integration.
In this whitepaper, we show how the object-oriented techniques inherited from Java enable abstraction and reuse of optimization code.
KernelF is a functional language built on top of MPS. It is designed to be highly extensible and embeddable in order to support its use at the core of domain-specific languages, realising an approach we sometimes call Funclerative Programming. 'Funclerative' is of course a mash-up of 'functional' and 'declarative' and refers to the idea of using functional programming in the small, and declarative language constructs for the larger-scale, often domain-specific, structures in a program. We have used KernelF in a wide range of languages including health and medicine, insurance contract definition, security analysis, salary calculations, smart contracts and language-definition. In this keynote, I illustrate the evolution of KernelF over the last two years. I discuss requirements on the language, and how those drove design decisions. I showcase a couple of the DSLs we built on top of KernelF to explain how MPS was used to enable the necessary language modularity. I demonstrate how we have integrated the Z3 solver to verify some aspects of programs. I present the architecture we have used to use KernelF-based DSLs in safety-critical environments. I close the keynote with an outlook on how KernelF might evolve in the future, and point out a few challenges for which we don't yet have good solutions.
OptimJ is an extension of the Java programming language with language support for writing optimization
models and powerful abstractions for bulk data processing.
OptimJ is a radically new optimization modeling language designed as a Java extension with Eclipse integration.
In this whitepaper, we show how the object-oriented techniques inherited from Java enable abstraction and reuse of optimization code.
KernelF is a functional language built on top of MPS. It is designed to be highly extensible and embeddable in order to support its use at the core of domain-specific languages, realising an approach we sometimes call Funclerative Programming. 'Funclerative' is of course a mash-up of 'functional' and 'declarative' and refers to the idea of using functional programming in the small, and declarative language constructs for the larger-scale, often domain-specific, structures in a program. We have used KernelF in a wide range of languages including health and medicine, insurance contract definition, security analysis, salary calculations, smart contracts and language-definition. In this keynote, I illustrate the evolution of KernelF over the last two years. I discuss requirements on the language, and how those drove design decisions. I showcase a couple of the DSLs we built on top of KernelF to explain how MPS was used to enable the necessary language modularity. I demonstrate how we have integrated the Z3 solver to verify some aspects of programs. I present the architecture we have used to use KernelF-based DSLs in safety-critical environments. I close the keynote with an outlook on how KernelF might evolve in the future, and point out a few challenges for which we don't yet have good solutions.
In software industry, test automation is a key solution for achieving volume verification and validation with optimal costs. Picking up the right automation tool and underlying scripting language has always been a challenge, balancing between cost factors and team’s expertise levels in various tools and scripting languages. A real solution would be one that allows full flexibility for team on these two core concern areas – test automation tool and scripting language. Flexi any Script any Tool (FaSaT) is a test automation framework which provides interoperability among multiple test automation tools and multiple scripting languages.
Programming is the process of taking an algorithm and encoding it into a notation, a programming language so that it can be executed by a computer. Although many programming languages and many different types of computers exist, the important first step is the need to have the solution. Without an algorithm, there can be no program.
To know more: https://hackr.io/blog/what-is-programming-language
In software industry, test automation is a key solution for achieving volume verification and validation with optimal costs. Picking up the right automation tool and underlying scripting language has always been a challenge, balancing between cost factors and team’s expertise levels in various tools and scripting languages. A real solution would be one that allows full flexibility for team on these two core concern areas – test automation tool and scripting language. Flexi any Script any Tool (FaSaT) is a test automation framework which provides interoperability among multiple test automation tools and multiple scripting languages.
Programming is the process of taking an algorithm and encoding it into a notation, a programming language so that it can be executed by a computer. Although many programming languages and many different types of computers exist, the important first step is the need to have the solution. Without an algorithm, there can be no program.
To know more: https://hackr.io/blog/what-is-programming-language
Stream SQL eventflow visual programming for real programmers presentationstreambase
Richard Tibbetts, CTO, StreamBase Systems.
StreamSQL EventFlow is one of the most popular languages for Complex Event Processing (CEP), a data management paradigm for real-time applications. Based on a stream-relational data model common to other CEP languages, EventFlow is unique in that it is a visual language. This talk will focus on the design of visual representations for key features including event dispatch, modularity, data parallelism, polymorphism, and dependency injection, and on the co-development of an Eclipse-based IDE along with a new programming language. StreamSQL EventFlow is the primary programming language for the StreamBase Event Processing Platform.
Complex Event Processing platforms are used to process large volumes of event-oriented data in real-time, often in latency-critical applications such as securities trading. Combining clustering, messaging, queuing, data storage, and application logic into one system minimizes latency and gives the programmer control over all aspects of the application.
StreamSQL EventFlow is an executable visual language for building CEP applications, unlike visual environments designed for non-developers, or architecture-focused modeling tools. The talk will cover experiences overcoming prejudice against visual programming languages, and how critical development tools are to that process. We will also discuss some details of the implementation including the compiler, a visual debugger, and diff/merge functionality.
Evaluation of meta modeling tools for domain specific modeling language chnjlPG Scholar
A Domain Specific Languages for modeling web pages and provide automatic code generation with a web-testing framework.
The whole process of Meta-modeling in the MetaEdit+ tool rotates around the Meta types represented together as GOPPRR’
Our technique are based on building abstractions of web pages and modeling state-machine-based test behavior using domain specific language
Java-centered Translator-based Multi-paradigm Software Development EnvironmentWaqas Tariq
This research explores the use of a translator-based multi-paradigm programming method to develop high quality software. With Java as the target language, an integrated software development environment is built to allow different parts of software implemented in Lisp, Prolog, and Java respectively. Two open source translators named PrologCafe and Linj are used to translate Prolog and Lisp program into Java classes. In the end, the generated Java classes are compiled and linked into one executable program. To demonstrate the functionalities of this integrated multi-paradigm environment, a calculator application is developed. Our study has demonstrated that a centralized translator-based multi-paradigm software development environment has great potential for improving software quality and the productivity of software developers. The key to the successful adoption of this approach in large software development depends on the compatibility among the translators and seamless integration of generated codes.
PHP vs .NET vs JAVA : The Right Tech for Your Next Big ProjectRosalie Lauren
People often ask which one is the best and the debate on PHP vs .NET vs JAVA continues. If you're getting ready to embark on a big tech project, you have quite the choice in front of you when it comes to the right language. PHP, .NET, or JAVA each offers their own unique benefits and features. Contact Us!
Read out full blog here:-
https://www.hiddenbrains.co.uk/blog/php-vs-net-vs-java-the-right-tech-for-your-next-big-project.html
The course aims to provide you with an understanding of the fundamental concepts involved in object-oriented programming (object, class, protocol, hierarchy, inheritance, encapsulation, polymorphism and collaboration).
The programming language you will use is Java. However, the purpose of the course is not to teach you the minutiae of the Java language, but rather to teach you fundamental object-oriented programming concepts and skills that will be transferable to any object¬ oriented language
GREATFREE: THE JAVA APIS AND IDIOMS TO PROGRAM LARGE-SCALE DISTRIBUTED SYSTEMSijait
This paper introduces a series of APIs and idioms in Java SE (Java Standard Edition), GreatFree, to
program large-scale distributed systems from scratch without adopting any third party frameworks. When
programming with GreatFree, developers are required to take care of rather than be invisible to most of
the implementation issues in a distributed system. It not only strengthens developers’ skills to polish a
system but also provides them with the techniques to create brand new and creative systems. However,
taking care of many such issues is a heavy load because of the low-level of Java SE. To alleviate the burden
to program with Java SE directly, GreatFree provides numerous APIs and idioms in Java SE to help
programmers resolve indispensable distributed problems, such as communication programming,
serialization, asynchronous and synchronous programming, resource management, load balancing,
caching, eventing, requesting/responding, multicasting, and so forth. Additionally, as an open source tool
to program, developers are able to strengthen their systems through not only adjusting GreatFree
parameters but also upgrading GreatFree APIs and idioms themselves. According to the current intensive
experiments, it is convenient for developers to program an ordinary or a large-scale distributed system
from scratch with GreatFree.
Multiple Your Crypto Portfolio with the Innovative Features of Advanced Crypt...Hivelance Technology
Cryptocurrency trading bots are computer programs designed to automate buying, selling, and managing cryptocurrency transactions. These bots utilize advanced algorithms and machine learning techniques to analyze market data, identify trading opportunities, and execute trades on behalf of their users. By automating the decision-making process, crypto trading bots can react to market changes faster than human traders
Hivelance, a leading provider of cryptocurrency trading bot development services, stands out as the premier choice for crypto traders and developers. Hivelance boasts a team of seasoned cryptocurrency experts and software engineers who deeply understand the crypto market and the latest trends in automated trading, Hivelance leverages the latest technologies and tools in the industry, including advanced AI and machine learning algorithms, to create highly efficient and adaptable crypto trading bots
Software Engineering, Software Consulting, Tech Lead.
Spring Boot, Spring Cloud, Spring Core, Spring JDBC, Spring Security,
Spring Transaction, Spring MVC,
Log4j, REST/SOAP WEB-SERVICES.
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Strategies for Successful Data Migration Tools.pptxvarshanayak241
Data migration is a complex but essential task for organizations aiming to modernize their IT infrastructure and leverage new technologies. By understanding common challenges and implementing these strategies, businesses can achieve a successful migration with minimal disruption. Data Migration Tool like Ask On Data play a pivotal role in this journey, offering features that streamline the process, ensure data integrity, and maintain security. With the right approach and tools, organizations can turn the challenge of data migration into an opportunity for growth and innovation.
Designing for Privacy in Amazon Web ServicesKrzysztofKkol1
Data privacy is one of the most critical issues that businesses face. This presentation shares insights on the principles and best practices for ensuring the resilience and security of your workload.
Drawing on a real-life project from the HR industry, the various challenges will be demonstrated: data protection, self-healing, business continuity, security, and transparency of data processing. This systematized approach allowed to create a secure AWS cloud infrastructure that not only met strict compliance rules but also exceeded the client's expectations.
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
Your Digital Assistant.
Making complex approach simple. Straightforward process saves time. No more waiting to connect with people that matter to you. Safety first is not a cliché - Securely protect information in cloud storage to prevent any third party from accessing data.
Would you rather make your visitors feel burdened by making them wait? Or choose VizMan for a stress-free experience? VizMan is an automated visitor management system that works for any industries not limited to factories, societies, government institutes, and warehouses. A new age contactless way of logging information of visitors, employees, packages, and vehicles. VizMan is a digital logbook so it deters unnecessary use of paper or space since there is no requirement of bundles of registers that is left to collect dust in a corner of a room. Visitor’s essential details, helps in scheduling meetings for visitors and employees, and assists in supervising the attendance of the employees. With VizMan, visitors don’t need to wait for hours in long queues. VizMan handles visitors with the value they deserve because we know time is important to you.
Feasible Features
One Subscription, Four Modules – Admin, Employee, Receptionist, and Gatekeeper ensures confidentiality and prevents data from being manipulated
User Friendly – can be easily used on Android, iOS, and Web Interface
Multiple Accessibility – Log in through any device from any place at any time
One app for all industries – a Visitor Management System that works for any organisation.
Stress-free Sign-up
Visitor is registered and checked-in by the Receptionist
Host gets a notification, where they opt to Approve the meeting
Host notifies the Receptionist of the end of the meeting
Visitor is checked-out by the Receptionist
Host enters notes and remarks of the meeting
Customizable Components
Scheduling Meetings – Host can invite visitors for meetings and also approve, reject and reschedule meetings
Single/Bulk invites – Invitations can be sent individually to a visitor or collectively to many visitors
VIP Visitors – Additional security of data for VIP visitors to avoid misuse of information
Courier Management – Keeps a check on deliveries like commodities being delivered in and out of establishments
Alerts & Notifications – Get notified on SMS, email, and application
Parking Management – Manage availability of parking space
Individual log-in – Every user has their own log-in id
Visitor/Meeting Analytics – Evaluate notes and remarks of the meeting stored in the system
Visitor Management System is a secure and user friendly database manager that records, filters, tracks the visitors to your organization.
"Secure Your Premises with VizMan (VMS) – Get It Now"
OpenFOAM solver for Helmholtz equation, helmholtzFoam / helmholtzBubbleFoamtakuyayamamoto1800
In this slide, we show the simulation example and the way to compile this solver.
In this solver, the Helmholtz equation can be solved by helmholtzFoam. Also, the Helmholtz equation with uniformly dispersed bubbles can be simulated by helmholtzBubbleFoam.
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I ...Juraj Vysvader
In 2015, I used to write extensions for Joomla, WordPress, phpBB3, etc and I didn't get rich from it but it did have 63K downloads (powered possible tens of thousands of websites).
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
Enhancing Research Orchestration Capabilities at ORNL.pdfGlobus
Cross-facility research orchestration comes with ever-changing constraints regarding the availability and suitability of various compute and data resources. In short, a flexible data and processing fabric is needed to enable the dynamic redirection of data and compute tasks throughout the lifecycle of an experiment. In this talk, we illustrate how we easily leveraged Globus services to instrument the ACE research testbed at the Oak Ridge Leadership Computing Facility with flexible data and task orchestration capabilities.
Understanding Globus Data Transfers with NetSageGlobus
NetSage is an open privacy-aware network measurement, analysis, and visualization service designed to help end-users visualize and reason about large data transfers. NetSage traditionally has used a combination of passive measurements, including SNMP and flow data, as well as active measurements, mainly perfSONAR, to provide longitudinal network performance data visualization. It has been deployed by dozens of networks world wide, and is supported domestically by the Engagement and Performance Operations Center (EPOC), NSF #2328479. We have recently expanded the NetSage data sources to include logs for Globus data transfers, following the same privacy-preserving approach as for Flow data. Using the logs for the Texas Advanced Computing Center (TACC) as an example, this talk will walk through several different example use cases that NetSage can answer, including: Who is using Globus to share data with my institution, and what kind of performance are they able to achieve? How many transfers has Globus supported for us? Which sites are we sharing the most data with, and how is that changing over time? How is my site using Globus to move data internally, and what kind of performance do we see for those transfers? What percentage of data transfers at my institution used Globus, and how did the overall data transfer performance compare to the Globus users?
How to Position Your Globus Data Portal for Success Ten Good PracticesGlobus
Science gateways allow science and engineering communities to access shared data, software, computing services, and instruments. Science gateways have gained a lot of traction in the last twenty years, as evidenced by projects such as the Science Gateways Community Institute (SGCI) and the Center of Excellence on Science Gateways (SGX3) in the US, The Australian Research Data Commons (ARDC) and its platforms in Australia, and the projects around Virtual Research Environments in Europe. A few mature frameworks have evolved with their different strengths and foci and have been taken up by a larger community such as the Globus Data Portal, Hubzero, Tapis, and Galaxy. However, even when gateways are built on successful frameworks, they continue to face the challenges of ongoing maintenance costs and how to meet the ever-expanding needs of the community they serve with enhanced features. It is not uncommon that gateways with compelling use cases are nonetheless unable to get past the prototype phase and become a full production service, or if they do, they don't survive more than a couple of years. While there is no guaranteed pathway to success, it seems likely that for any gateway there is a need for a strong community and/or solid funding streams to create and sustain its success. With over twenty years of examples to draw from, this presentation goes into detail for ten factors common to successful and enduring gateways that effectively serve as best practices for any new or developing gateway.
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
How Recreation Management Software Can Streamline Your Operations.pptxwottaspaceseo
Recreation management software streamlines operations by automating key tasks such as scheduling, registration, and payment processing, reducing manual workload and errors. It provides centralized management of facilities, classes, and events, ensuring efficient resource allocation and facility usage. The software offers user-friendly online portals for easy access to bookings and program information, enhancing customer experience. Real-time reporting and data analytics deliver insights into attendance and preferences, aiding in strategic decision-making. Additionally, effective communication tools keep participants and staff informed with timely updates. Overall, recreation management software enhances efficiency, improves service delivery, and boosts customer satisfaction.
In software engineering, the right architecture is essential for robust, scalable platforms. Wix has undergone a pivotal shift from event sourcing to a CRUD-based model for its microservices. This talk will chart the course of this pivotal journey.
Event sourcing, which records state changes as immutable events, provided robust auditing and "time travel" debugging for Wix Stores' microservices. Despite its benefits, the complexity it introduced in state management slowed development. Wix responded by adopting a simpler, unified CRUD model. This talk will explore the challenges of event sourcing and the advantages of Wix's new "CRUD on steroids" approach, which streamlines API integration and domain event management while preserving data integrity and system resilience.
Participants will gain valuable insights into Wix's strategies for ensuring atomicity in database updates and event production, as well as caching, materialization, and performance optimization techniques within a distributed system.
Join us to discover how Wix has mastered the art of balancing simplicity and extensibility, and learn how the re-adoption of the modest CRUD has turbocharged their development velocity, resilience, and scalability in a high-growth environment.
1. TheEconomics
ofOptimJ
OptimJ is a radically new optimization modeling language designed as
a Java extension with Eclipse integration, in contrast with all existing
modeling languages that are home-brewed domain-specific languages.
OptimJ for your optimization projects means tight IT integration, much
faster time to market, less maintenance, and better runtime efficiency.
OptimJ technical overview
OptimJ™ is an extension of the Java™ programming language with language support for writing
optimization models and powerful abstractions for bulk data processing. The language is supported by
programming tools under the Eclipse™ 3.2 environment.
• OptimJ is a programming language :
o OptimJ is an extension of Java 5
o OptimJ operates directly on Java objects and can be combined with any other Java classes
o The whole Java library is directly available from OptimJ
o OptimJ is interoperable with standard Java-based programming tools such as team
collaboration, unit testing or interface design.
• OptimJ is a modeling language :
o All concepts found in modeling languages such as AIMMS™, AMPL™, GAMS™,
MOSEL™, MPL™, OPL™, etc., are expressible in OptimJ.
o OptimJ can target any optimization engine offering a C or Java API.
• OptimJ is part of a product line of numerous domain-specific Java language extensions, a novel
approach of “integration at the language level” made possible by Ateji proprietary technology.
www. .com
(C) Ateji. All rights reserved. 2008-02-24 Page 1
2. Simpler and faster development process
The usual approach is in two steps: prototype, then deploy
Most users of modeling languages use them only for prototyping a model. When they are satisfied with the
model, they then translate it by hand into a mainstream programming language making direct calls to the
solver API.
A modeling language is required for expressing, manipulating and above all understanding models (coding
any realistic model from scratch with low-level API calls is simply not an option). But today's modeling
languages have importants drawbacks:
– Efficiency: an extra runtime layer is required that has an important impact on performance.
– Platform compatibility: the resulting code must be executed in a specific environment, typically into a
different process.
– Data feeding and solution reporting is problematic because of differences in data types and data
formats, and require additional code for handling communication between different process. This
interface code takes time to develop, is error-prone and slow at execution.
This leads to a development process in two phases, as depicted below.
The hand translation part is complex and requires a few days work for an developer that must be expert in
both the modeling language and the programming language.
A hand translation almost invariably introduces hard to find errors; so you'd better provision some
additional time for debugging.
Updating the resulting application is problematic. Because there is no going back from the programming
language source to the modeling language source, making changes means start again from scratch and redo
part of the translation. Chances are you will stick with an out-of-date application rather than engage in a
long update process.
(C) Ateji. All rights reserved. 2008-02-24 Page 2
Modeling language
source code
Programming language
source code
1. Develop the model
2. Translate 3. Run
4. Update
3. With OptimJ, you prototype and deploy at once
Being an extension of Java, OptimJ is both a modeling language and programming. Compare the diagram
below with the previous one:.
In a sense, OptimJ is doing the translation for you. The code generated by the OptimJ compiler makes
direct calls to the solver API: it is as efficient as what you would have written by hand, sometimes even
more because the compiler is able to perform some high-level code optimizations that are difficult to do by
hand.
Data feeding and reporting is immediate and does not require additional code, because optimization models
directly work with your application data.
No more hand translating models into code means shorter development times, less errors, and easier
update.
Enhanced developer productivity
While major modeling languages come equipped with a house-built development environment, or no
development environment at all, OptimJ is integrated in the state-of-the-art and widely spread Eclipse
environment. This has an enormous impact on developer productivity.
Standard libraries and tools
Why learn yet another way of accessing databases, reading Excel files and designing graphical interfaces?
And how comfortable would you feel relying on an optimization engine vendor to maintain these libraries
and catch-up with the most recent advances in software technology?
When modeling with OptimJ, you have direct access to the whole set of standard Java libraries and
accompanying tools. GUI designers, XML parsers, JDBC drivers, Hibernate, Swing, Javadoc, CVS, JUnit,
you name it, all can be used with your optimization model.
(C) Ateji. All rights reserved. 2008-02-24 Page 3
OptimJ
source code
1. Develop the model
2. Run
3. Update
4. Direct interaction with the IT department
In any large organization, optimization projects must ultimately be embedded into a larger IT environment.
With OptimJ, your optimization team delivers standard Java class files that work directly on the application
data. Developers from different teams share and synchronize their work on a common CVS repository and
collaborate on integration testing.
State-of-the-art programming support
The OptimJ support in Eclipse offers a language-aware editor with rich features such as syntax coloring,
navigation, search, integrated debugging, etc., that are today the basic tools of any professional software
developer.
Bulk data processing
In addition to algebraic modeling features, the OptimJ language also provides powerful and concise
abstractions for bulk data processing. They prove very handy in the data preprocessing phase that is often
required before stating an optimization model. Common examples are transforming couples of arrays into
sets of couples or vice-versa, aggregating data and checking integrity constraints.
OptimJ features such as set comprehensions, list comprehensions and tuples enable writing in one single
and intuitive line complex bulk data transformation processes that would require dozens of involved loops
in Java.
(C) Ateji. All rights reserved. 2008-02-24 Page 4
5. Code reuse with Object-Oriented Modeling
Object-oriented languages are commonplace today in the software development landscape, and no
reasonable programmer would imagine doing without them, but today's modeling languages are still
lagging behind. OptimJ is a true object-oriented language, inheriting its object-oriented features from Java.
This Object-Oriented Modeling approach enables structuration and reuse of both models and algorithms.
A given model is easily adapted to a different application domain by abstracting away data representation
via standard OO techniques such as interfaces or proxy classes. Optimization algorithms such as column
generation need only be written once and can be reused by abstracting away the specific models and the
notion of what constitutes a pattern in a particular problem.
Fast project start-up time
All recent university graduates today in IT-related areas have a hands-on experience of Java and Eclipse.
But how many of them know the vendor-specific modeling language that comes with an optimization
engine and master its home-built software library and development environment?
Talent availability
Since OptimJ is an extension of Java with support under Eclipse, the required language learning is limited
to the extended part, and the development environment is familiar. There is no need to learn yet another
way to write 1+2 and yet another command to compile your code. Java experts can write, compile and run
their first simple optimization model in fifteen minutes.
But OptimJ is also a modeling language, representative of the algebraic modeling languages family, and an
expert in modeling will feel at ease with OptimJ in a matter of hours: the same concepts are present at the
language level and syntax is familiar.
Team work
The secret of a successful software development project is efficient team work, such as having a database
specialist and a web design expert working in close cooperation. Common software development tools and
common languages are very important in this respect because they provide the basic communication
medium.
The same is true for optimization projects and OptimJ provides this communication medium. Optimization
experts feel at ease with the optimization part of the language, while programming experts master the Java
part of the language.
They can work together and interact easily because they are using the same common language, the same
development environment, the same building tools, and share their work on a common central repository.
Fast installation and set-up
OptimJ is delivered as a standard Eclipse plug-in and is installed in a few minutes using the Eclipse plugin
manager.
(C) Ateji. All rights reserved. 2008-02-24 Page 5
6. Less maintenance
The later you identify bugs, the more they will cost in maintenance. Many OptimJ features help preventing
bugs or identifying them early::
– strong typing (inherited from Java) forbids ill-behaved programs
– navigation features of the development environment help grasping the overall logic of large programs
– debugging features on OptimJ source code help locating problems
In today's software applications, many bugs lie at the interface between languages, hidden in XML
configuration files or other middleware connectors. They are particularly difficult to track because
language tools such as debuggers or static analysers cannot cross the language barrier.
With OptimJ, integration is done at the language level. This means zero interfacing code and zero
configuration files, and much fewer places where hugs can hide.
No performance penalty at runtime
Current modeling languages include a runtime layer that serves purposes such as abstracting away from
differences in solver engines or implementation of advanced language features.
A runtime layer can incur a severe runtime performance penalty, typically requiring allocation of
additional memory objects for each variable or constraint of your model. Not only is this a time-consuming
operation (in some examples, stating a model can take much longer than actually solving it), but it can
quickly exhaust all the available memory. Reaching the limits of physical memory because of a runtime
layer overhead means that you simply cannot state your model, even though your solver would have been
able to solve it.
OptimJ is a full language compiler and does all its work at compile time: there is no additional runtime
layer whatsoever. This is why OptimJ is able to generate code with performances similar to what you
would obtain by hand-coding directly against a low-level solver API.
Cost-effective licencing scheme
OptimJ is reasonably priced compared to all major modeling languages, and is licensed as a programming
tool. No license is required for deployment.
No matter how many projects your developers are working on, no matter how many customer sites are
using your code, you will need only one license per developer. Your investment in OptimJ quickly pays off
over the course of a few projects.
Try OptimJ
A free evaluation version of OptimJ is available for download at www.ateji.com, with additional
technical information and numerous code samples.
Ateji helps you jump-start your first OptimJ projects by providing consulting and education services as
needed. Contact us at info@ateji.com
(C) Ateji. All rights reserved. 2008-02-24 Page 6