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Abstrak :
Open Information Extraction (Open IE) merupakan topik yang telah diteliti cukup lama terutama pada bahasa Inggris. Pada pekerjaan open information extraction, dikembangkan banyak model baik yang melakukan ekstraksi relasi umum maupun yang berfokus pada relasi khusus, misalnya relasi numerik. Pada bahasa Indonesia, telah dikembangkan beberapa model open information extraction namun belum ada model yang berfokus pada relasi numerik. Padahal, sangat banyak informasi yang disajikan dalam bentuk numerik sehingga informasi tersebut belum dapat dimanfaatkan dengan baik. Karena itu, pada riset ini kami berfokus pada ekstraksi relasi numerik pada teks berbahasa Indonesia. Tantangan dalam pekerjaan ini adalah banyaknya relasi yang mungkin dari ekspresi numerik serta kategori ekspresi numerik yang beragam yaitu kardinal, kuantitas, persen, dan uang. Selain itu, banyak juga ekspresi numerik yang tidak menyatakan sebuah relasi numerik. Kontribusi riset ini adalah model ekstraksi atribut numerik dari teks berbahasa Indonesia. Walaupun pekerjaan ini adalah pilot task, model kami memperoleh hasil yang cukup baik dengan precision score 61.06%. ......Open Information Extraction (Open IE) is a widely studied topic, especially in English. In open information extraction research, many models have been developed for general relation extraction or for specific relations, for instance, numerical relations. In Indonesian language, there have been some works on open information extraction models but none is focusing on numerical relations. With so much information given in numerical expression, it is so unfortunate if that information can not be used. Thus, in this research, we focus on numerical relation extraction in Indonesian texts. The challenge in this work is a huge number of relations that can be produced from numerical expressions as well as several categories of numerical expressions: cardinal, quantity, percent, and money. Furthermore, many numerical expressions do not express any numerical relation. Our contribution is a numerical relation extraction model from Indonesian texts. While this work is a pilot task, our model obtained a good result with precision score of 61.06%.

Abstrak :
Learn how to use PTC® Mathcad Prime® 3.0, one of the world?s leading tools for technical computing, in the context of engineering, science, and math applications. Quickly harness the power of PTC Mathcad Prime 3.0 to solve both simple and complex problems. Essential PTC® Mathcad Prime® 3.0 is perfect for college students, first-time users, and experienced Mathcad 15 users who are moving to PTC Mathcad Prime 3.0. Updated from maxfield?s popular essential mathcad, this book introduces the most powerful functions and features of the new PTC Mathcad Prime 3.0 software and teaches how to apply them to create comprehensive calculations for any quantitative subject. Examples from several fields demonstrate the power and utility of PTC Mathcad?s tools while also demonstrating how users can eff ectively incorporate Microsoft® Excel spreadsheets into the software.

Abstrak :
This book provides a thorough, rigorous presentation of kinematics and dynamics while using MATLAB as an integrated tool to solve problems. Topics presented are explained thoroughly and directly,allowing fundamental principles to emerge through applications from areas such as multibody systems, robotics, spacecraft and design of complex mechanical devices. This book differs from others in that it uses symbolic MATLAB for both theory and applications. Special attention is given to solutions that are solved analytically and numerically using MATLAB.

Abstrak :
Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap. Starting with the basics, setting up MATLAB for CUDA (in Windows, Linux and Mac OS X) and profiling, it then guides users through advanced topics such as CUDA libraries. The authors share their experience developing algorithms using MATLAB, C++ and GPUs for huge datasets, modifying MATLAB codes to better utilize the computational power of GPUs, and integrating them into commercial software products. Throughout the book, they demonstrate many example codes that can be used as templates of C-MEX and CUDA codes for readers? projects. Download example codes from the publisher's website: http://booksite.elsevier.com/9780124080805/

Abstrak :
A revised textbook for introductory courses in numerical methods, MATLAB and technical computing, which emphasises the use of mathematical software.