New interval methodologies for reliable chemical process modeling

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

New Interval Methodologies for Reliable Chemical Process Modeling

The use of interval methods, in particular interval-Newton/generalized-bisection techniques, provides an approach that is mathematically and computationally guaranteed to reliably solve difficult nonlinear equation solving and global optimization problems, such as those that arise in chemical process modeling. The most significant drawback of the currently used interval methods is the potential...

متن کامل

Reliable Modeling and Optimization for Chemical Engineering Applications: Interval Analysis Approach

In many applications of interest in chemical engineering it is necessary to deal with nonlinear models of complex physical phenomena, on scales ranging from the macroscopic to the molecular. Frequently these are problems that require solving a nonlinear equation system and/or finding the global optimum of a nonconvex function. Thus, the reliability with which these computations can be done is o...

متن کامل

Chemical Process Modeling for Minimal Metabolic Systems

We are investigating hypotheses pertaining to the origin of life. There are several challenges inherent in this modeling task. These include soliciting sufficiently well structured hypotheses from biologists, managing heterogeneous background knowledge, dealing with vast numbers of possible interacting entities, and providing investigators with cues for hypothesis revision. To address the first...

متن کامل

MOdeling and DEsign of Reliable , process variation

Disclaimer: the information in this document is provided as is and no guarantee or warranty is given that the information is fit for any particular purpose. The user thereof uses the information at its sole risk and liability.

متن کامل

Chemical Process Modeling in Modelica

Chemical process models are highly structured. Information on how the hierarchical components are connected helps to solve the model efficiently. Our ultimate goal is to develop structure-driven optimization methods for solving nonlinear programming problems (NLP). The structural information retrieved from the JModelica environment will play an important role in the development of our novel opt...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Computers & Chemical Engineering

سال: 2002

ISSN: 0098-1354

DOI: 10.1016/s0098-1354(02)00005-4